Conference Details

Conference Chairs

Prof. Luigi Vladareanu

Conference General Chair

Institute of Solid Mechanics of Romanian Academy, Romania

Prof. Zelalem Mengistu

Co-chair

Bay Atlantic University (BAU)
Washington, D.C, USA

Prof. Mohamed YOUSSFI

Local Chair

Hassan II University of Casablanca

Casablanca, Morocco

Technical Program Committee

MemberAffliationCountry
Prof. Qing TanAthabasca University Canada
Prof. Luigi VladareanuInstitute of Solid Mechanics of Romanian AcademyRomania
Prof. Dr. Ibrahiem El EmaryKing Abdulaziz UniversitySaudi Arabia
Prof. Dr. Radu Munteanuechnical University of Cluj- NapocaRomania
Prof. Junzo WatadaWaseda UniversityJapan
Prof. Latif LadidUniversity of LuxembourgLuxemberg
Prof. Abdel-Badeeh M. Salem Ain Shams UniversityEgypt
Prof. Dr. Dina M. IbrahimQassim UniversityASaudi Arabia
Prof. Victor VladareanuInstitute of Solid Mechanics of Romanian AcademyRomainia
Prof. Dr. Hongnian YuEdinburgh Napier UniversityUK
Prof. Dr. Zeng-Guang HouChinese Academy of SciencesChina
Prof. Dr. Hongbo WangFudan UniversityChina
Prof. Dr. Yongfei FengNingbo UniversityChina
Prof. Sami HasanAl-Bayan UniversityIraq
Dr. Asma AlhamadiEducation Technology Department, King Khalid UniversitySaudi Arabia
Dr. Eva R. PorrasUniversidad Rey Juan CarlosSpain
Dr. Abdelkrim ZitouniImam Abdulrahman bin Faisal UniversitySaudi Arabia
Dr. Salim EL KHEDIRIQassim UniversitySaudi Arabia
Dr. Wael YafoozComputer Science Department, Taibah UniversitySaudi Arabia
Dr. Elrasheed Ismail M. ZayidUniversity of BishaSaudi Arabia
Dr. Elmissaoui Taoufik Higher Institute of Transport and Logistics of SousseTunisia
Ass. T. Yaqeen Saad AliAnbar UniversityIraq
Prof. Dr. Salah Awad SalmanUniversity of Anbar
Iraq
Ass. T. Rihab Hazim QassimUniversity of AnbarIraq
Ass. T. Sura Mahroos SearanUniversity of AnbarIraq
Prof. Mohammed AkourPrince Sultan universitySaudi Arabia
Dr. Mounira TLILIHigher Institute of Transport and Logistics of Sousse Tunisia
Dr. Zelalem MengistuBay Atlantic University
USA
Dr. Somayeh AllahyariUniversity of BirminghamUK
Prof. Haider Raza University of EssexUK
Prof. Vishal Krishna SinghUniversity of EssexUK
Dr. Asma Najet LAKHAL GHARBICarthage University
Tunisia
Dr. Hossien EldeebKhalifa UniversityUAE
Dr. Zainab RasheedEmriates Aviation UniversityUAE
Dr. Zainab Ajab MohideenUniversiti Sains Malaysia Malaysia
Dr. Meysam HagshhenasUniversity of Toledo
USA
Dr. Melissa M. SahlUniversity of Maryland
USA
Prof. Mohammad Samarah University of Maryland
USA
Dr. Ali KhoshkholghiMiddlesex UniversityUK
Prof. Mohamed OubibiBeijing Normal University
China
Prof. Katsiaryna HryshayevaBeijing Foreign Studies UniversityChina
Prof. Antony Fute
Yulin UniversityChina
Prof.Atif Saleem
Huaibei Normal University
China
Prof. (Dr.) Mohamed LAHBYHassan II University of Caasablanca
Morocco
Prof. (Dr.) Mohamed Othman BenammarHassan II University of Casablanca
Morocco
Prof. (Dr.) Elisa SchaefferMcGill UniversityCanada
Prof. (Dr.) Chikh KhalidSultan Moulay Slimane UniversityMorocco
Prof. (Dr.) CHAKROAUI MohamedSultan Moulay Slimane UniversityMorocco
Prof. (Dr.) Belhouideg SoufianeSultan Moulay Slimane University
Morocco
Prof. Abdessamad MALAOUISultan Moulay Slimane UniversityMorocco
Prof. Monji KHERALLAH,
University of SfaxTunisia
Prof. Mohamed EL KHAILIHassan II University of CasablancaMorocco
Prof. (Dr.) Youssef MAZOUZHassan II university of CasablancaMorocco
Prof. Mounir BELBAHLOULHassan II university of CasablancaMorocco
Prof. Tahiri AbdelmajidMoulay Ismail UniversityMorocco
Prof. Soufiane ZERRAFHassan II University of CasablancaMorocco
Prof. Mohammed BELGHITIHassan II University of CasablancaMorocco
Prof. (Dr.) Belaaouad SaidHassan II University of CasablancaMorocco
Prof. Mohammed QBADOU Hassan II University of CasablancaMorocco
Prof. Azeddine KHIATHassan II University of CasablancaMorocco
Prof. (Dr.) Daaif JabranHassan 1st University Morocco
Prof. Abdellah ZAMMAHassan II University of CasablancaMorocco
Prof. Omar TANANEHassan II University of CasablancaMorocco
Dr. Babul Salam KSM Kader IbrahimGulf University for Science & Technology
Kuwait
Prof. Mustapha JAMMOUKH Hassan II University of CasablancaMorocco
Dr. Hamza ENNADAFYHassan II University of CasablancaMorocco
Dr. Lahouari GhoutiPrince Sultan UniversitySaudi Arabia
Prof. Benaissa KISSIHassan II University of CasablancaMorocco
Prof. Mounir BELBAHLOULHassan II University of CasablancaMorocco
Prof. (Dr.) Tribak Abdelwahed INPT of RabatMorocco
Prof. (Dr.) Terhzaz JaouadCRMEF-CS of CasablancaMorocco
Prof. (Dr.) Mohamed Merouane El HammoumiHassan II University of Casablanca
Morocco
Prof. (Dr.) Mohamed AZEROUALSultan Moulay Slimane UniversityMorocco
Prof. Arif M AnsariUniversity of Southern California
USA
Prof. (Dr.) Abdelhadi EL BACHIRIHassan II University of CasablancaMorocco
Prof. Passent ElkafrawyEffat UniversitySaudi Arabia

Keynote Speakers

PROF. JUNZO WATADA
JAPAN

Professor Emeritus, Waseda University

PROF. ABDEL-BADEEH M. SALEM
EGYPT

Founder and Head of Artificial Intelligence and Knowledge Engineering Research Labs Computer Science Department, Faculty of Computer and Information Sciences in Shams University

PROF. PROF. LATIF LADID
Luxemboug

 IPv6 Forum President

University of Luxembourg/SnT Luxembourg

PROF. Saeed Rouhani
Iran

The Information Systems Department at the University of Tehran

Associate Editor for Journal of Information Technology Management (JITM).

 Special Sessions

PhotoNameSpecial Session Name and Topics









Prof. Dr. Luigi Vladareanu

Institute of Solid Mechanics of the Romanian Academy, Romania


Prof. Dr. Ibrahiem El Emary,

King Abdulaziz University, Saudi Arabia





Prof. Dr. Radu Munteanu

Technical University of Cluj- Napoca, Romania


ICIEICT24-SSN-0: Advanced Intelligent Control through Versatile Intelligent Portable Platforms

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Topics:
- Robot control;
- Intelligent control;
- Artificial intelligence; Intelligent agents;
- Intelligent sensor systems;
- Advanced intelligent control methods and techniques;
- Intelligent decision support systems;
- Versatile intelligent portable platforms;
- Human–robot (H2R) interaction systems;
- Machine-to-machine (M2M) interfaces;
- Prediction; machine learning; IoT technologies;
- Cyberphysical systems;
- IT Industry 4.0 concept;
- Industrial systems in the digital age;
- Intelligent sensors applied to rescue robots;
- Firefighting robots; Rehabilitation robots;
- Robot-assisted surgery;
- Domestic robots
Prof. Junzo Watada

Professor Emeritus
Waseda University, Japan
ICIEICT24-SSN-1: Advanced Technology in Business Management and Corporate Finance

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Topics:
- Big data and data science in management
- Digital impacts for Business management
- Digital Tech and Innovation
- Decision support systems
- Big data in Green finance
- Decision making and Entrepreneurship
- Green Innovation
- Knowledge discovery and data mining
- Machine learning in Business Modeling
- Entrepreneurship and Big Data
- Digital Tech and Sustainability
- Green Accounting and Sustainability
- Collaborative Innovation and Big Data
- Sustainability and Governance
Prof . Latif Ladid

University of Luxembourg/SnT, Luxembourg
ICIEICT24-SSN-2: Blockchain and its best Use Cases

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Topics:

Blockchain as an end to end Internet application requiring routable IP address space to identify the source and destination IP addresses for better traceability and transparency where needed. Now since the current Internet Protocol version 4 (IPv4) has run out of routable address space back in February 2011, the new Internet Protocol version 6 (IPv6) comes with a virtually unlimited address spaces with 2 to the power of 128 (340 Trillion Trillion Trillion) address space restoring thereby the end to end model offering routable address space for applications like Blockchain to scale. The use of new IPv6-based technologies such as Multicast (BIERv6) and Segment Routing over IPv6 (SRv6) enhances further the deployment of Blockchain, unlocking new applications of the Blockchain technology have extended to various social and economic solutions in trade and supply chain management, financial services, manufacturing, art and media, smart cities, property and title transfers, management of the integrity of elections, and improving the quality of healthcare while reducing the risk of errors, as well as many others.
Prof. Dr. Abdel-Badeeh. M. Salem

Professor of Computer Science, Faculty of Computer and Information Sciences, Head of Artificial Intelligence and Knowledge Engineering Research Labs

Ain Shams University Egypt
ICIEICT24-SSN-3: Machine Learning for Processing Brain Images

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Brain tumor is one of the most common major causes for the increase in Mortality among children and adults in the world. Many different types of brain tumors exist. Some brain tumors are noncancerous (benign), and some brain tumors are cancerous (malignant). Early detection of the brain tumor is very important andthe motivation for further studies. In the brain magnetic resonance imaging (MRI), the tumor may appear clearly but for further treatment, the physician also needs the quantification of the tumorarea. The computer and image processing techniques can provide great help in analyzing the tumor area.
On the other side, computer-aided detection (CAD) has beendeveloping fast in the last two decades. The main idea of CAD isto assist radiologists in interpreting medical images by using dedicated computer systems to provide ‘second opinions’. Studies onCAD systems and technology show that CAD can help to improvediagnostic accuracy of radiologists, lighten the burden of increasingworkload, reduce cancer missed due to fatigue, overlooked ordata overloaded and improve inter- and intra-reader variability. The final medical decision is made by the radiologists. Consequently, radiologists expectthat CAD systems can improve their diagnostic abilitiesbased on synergistic effects between the radiologist and thecomputer with medical image analysis and machine learning techniques.
With the advance of machine learning (ML) techniques and computational intelligence (CI) algorithms , computer-aided detection attracts moreattention for brain tumor detection. It has become one of the majorresearch subjects in medical imaging and diagnostic radiology.CI and ML became very important in extracting meaningful relationships and making accurate prediction in many fields. In the area of processing the brain images, Computer Aided-Diagnosis (CAD) systems are basically relied on different machine learning techniques in all its stages to implement a system that can help the radiologists by providing a second opinion that can assist in detection and diagnosis of brain tumors based on imaging techniques that are widely used in clinical care. Magnetic resonance imaging (MRI) is an imaging technique that plays a vital role in detection and diagnosis of brain tumors in both research and clinical care for providing detailed information about the brain structure and its soft tissues.
This session is devoted to discussion of current research of the ML techniques and Artificial intelligence (AI) methodologies for developing intelligent CAD Systems.The goal is to provide a forum for the exchange of ideas between practitioners from neuroscience, cognitive science, physicians, and computer scientists, and knowledge engineers to address the important issues in those areas. Papers related to methodologies, techniques and applications in brain informatics, telemedicine, and neuro-imaging technologies are especially solicited.

The topics of interest include, but are not limited to:
• Smart techniques for developing CAD systems
• Smart brain imaging techniques
• Biomedical Signal and Image Processing

• Machine Learning for Signal Processing
• MRI Image acquisition and preprocessing
• Intelligent segmentation techniques
• Pattern recognition techniques
• intelligent feature extraction approaches
• Smart classification techniques
• Classification of Brain MRI for Alzheimer's Disease
• Neural Networks for Brain Tumors
• Classification using Deep Learning


Prof. Dina M. Ibrahim

Department of Information Technology, College of Computer, Qassim University, Buraydah, Saudi Arabia
ICIEICT24-SSN-4: Current Trends in Information and Communication Technology

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Objectives and Motivation
In the context of the rapid deployment of the digital communication technologies, the opportunities arising from developments in Information and Communication Technology (ICT) are very promising, improving competitiveness and innovation in industry and meeting the demands of society and the economy.
Communication Technology is one of the most important connectivity technologies required by today's business organizations and Internet of Things (IoT) systems, ranging from smart home appliances to smart city systems. In addition, this session covers a large number of topics and applications: from wireless networking technologies to mobile information systems. Furthermore, security of wireless and mobile environment, protocols for wireless and mobility, internet infrastructures and applications, and future in mobile systems.
This Special session aims to brings together efficient international academic scientists, young researchers, and students making the congress a perfect platform to share experience, gain and evaluate emerging technologies in ICT research across the globe.

Scope and Interests (not limited to)
• Cloud and Big Data Analytics
• Image and video Processing
• Communication Technology and Systems
• Wireless Communication and Internet of Things
• Computer Network and Architecture
• Information Security
• Robotics and Artificial Intelligence
• Intelligent System and Human Computer Interaction
• Machine Learning and Intelligent Systems
• Wireless networks protocols
• Telecommunications in Smart Cities





Prof. dr. Luigi Vladareanu

Institute of Solid Mechanics of the Romanian Academy, Romania



Prof. Dr. Hongnian Yu

Edinburgh Napier University, UK




Prof. Dr. Zeng-Guang Hou

Institute of Automation, Chinese Academy of Sciences, China
ICEICT24-SSN-5: Advanced Intelligent Control in Robotics and Mechatronics

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Topics:
Robotics and Mechatronics; Intelligent Control Systems; Intelligent Learning Control; Intelligent Control Architecture; Hierarchical Intelligent Controllers; Hybrid Control Systems; Intelligent Information Fusion, Learning and Adaptive Sensor Fusion, Neural Networks and Applications, Neural and Fuzzy Techniques, Intelligent User Interface, Fuzzy Logic and Learning, Genetic Algorithms; Biologically Inspired Systems; HAM (Human Adaptive Mechatronics); Robotics and intelligent control; Applied artificial intelligence; Data analysis; Data sciences with applications in digital healthcare and manufacturing systems; Applications of emerging technology, such as RFID, wireless technology, etc. into healthcare and manufacturing systems
Prof. Sami Hasan

AI/DSP Architect, Al-Bayan University, Iraq
ICEICT24-SSN-6: AI-Enhanced Real-Time System

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Objectives and Motivation :
AI-enhanced systems are those systems that utilize artificial intelligence (AI)
algorithms to improve their functionality, efficiency and overall performance.
These systems, using machine learning algorithms are designed to learn and adapt
to different situations and environments, allowing them to make decisions and take
actions in real-time.
- A chatbot is an automated messaging system that can respond to customer
inquiries and provide support. With the help of AI algorithms, chatbots can
understand natural language and provide personalized responses to
customers. This not only improves the customer experience but also helps
businesses save time and resources.
- Autonomous vehicles use AI algorithms to analyze their surroundings and
make decisions based on that analysis. This allows them to navigate roads
and avoid obstacles without the need for human intervention. Autonomous
vehicles have the potential to revolutionize transportation and improve
safety on our roads.
- AI-enhanced healthcare systems improve patient outcomes. For example, AI
algorithms can be used to analyze medical images and identify potential
health issues. This can help doctors make more accurate diagnoses and
provide better treatment options.
- AI-enhanced finance systems are being used to analyze market trends and
make investment decisions. These systems use machine learning algorithms
to analyze vast amounts of data and make predictions about future market
trends. This can help investors make more informed decisions and improve
their overall investment performance.
- AI-enhanced systems are being used in manufacturing to improve efficiency
and reduce costs. For example, AI algorithms can be used to optimize
production schedules and reduce downtime. This can help manufacturers
increase their productivity and profitability.
AI-enhanced systems are becoming increasingly prevalent in our daily lives and
are being used in a wide range of industries. With their ability to learn and adapt,
these systems have the potential to improve efficiency, reduce costs, and enhance
the overall customer experience.
Prof. Dr. Asma Alhamadi

Assistant Professor - Education Technology Department
King Khalid University
Abha, Kingdom of Saudi Arabia (KSA)
ICEICT24-SSN-7: Current Trends in Education Technology

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Objectives and Motivation
In the ever-evolving field of education, technology plays a crucial role in transforming teaching and learning experiences. The integration of Information and Communication Technology (ICT) in education has the potential to enhance engagement, collaboration, and knowledge acquisition among students. This special session aims to explore the latest trends and advancements in education technology, with the goal of fostering innovation and improving educational outcomes.

Scope and Interests (not limited to)
• E-Learning platforms and tools
• Blended learning approaches
• Gamification in education
• Mobile learning and educational apps
• Virtual and augmented reality in education
• Adaptive learning systems
• Learning analytics and data mining
• Artificial intelligence in education
• Educational robotics and programming
• Educational technology policies and strategies


Join us at ICIEICT’2024 to exchange ideas, share research findings, and contribute to the advancement of education technology. Together, let's shape the future of education through innovative technological solutions.

Dr. Eva R. Porras

Dr. Eva R. Porras

Smart Ledger Blockchain Solutions and Department of Fundamentals of Economic Analysis
Universidad Rey Juan Carlos

Spain
ICEICT24-SSN-8: Blockchain Token Valuation

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Objectives:
Coinmarketcap.com lists close to 9,000 cryptocurrencies that trade in 711 exchanges. At the time of this writing, the prices of these range from $0 to over 59,000.
In this context, a question of interest is what gives each of these cryptocurrencies their value. Therefore, the Special Session "Blockchain Token Valuation" seeks to open up the discussion of “value” as it refers to crypto tokens. Amongst other topics this session will look into matters such as:
-Price versus value
-Fundamental value versus speculation
-Type of technology and value
-Applied and theoretical valuation models
-Variables/Characteristics of the technology that derive value
-Trends that mean to add value


Dr. Abdelkrim Zitouni

Associate Professor- Physics Department
College of Science and Humanities, Imam Abdulrahman bin Faisal University
Jubail

Kingdom of Saudi Arabia (KSA)
ICEICT24-SSN-9: Advanced Technologies and Techniques for Renewable Energy

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Objectives and Motivation
Rather than the non-renewable energy that comes from finite sources (coal, natural gas, and oil), renewable energy derives from unlimited, naturally reloaded resources, such as wind, sun, and tides.
Nowadays, due to the already high and constantly increasing demand for renewable energy worldwide, the exploitation of various technologies and techniques has been induced. The prospects appearing from improvements in renewable energy are very innovative particularly for economic developments. The aim is to advance the efficiency and the reliability of various aspects of renewable energy (generation, storage, and distribution).
Scope and Interests
In this Special Issue, we invite academic and industrial researchers to explore the opportunities of renewable energy technologies and techniques. We encourage papers on numerous subjects of interest that include but are not limited to:
• Advanced computing techniques for renewable energy
• Control/automation of renewable energy systems
• Artificial intelligence into renewable energy systems
• Energy management and control Systems
• Smart energy efficiency
• Materials in renewable energy
• Clean energy generation
• Hybrid and standalone Off-Grid systems
• Solar energy technologies
• Onshore and offshore wind energy technologies
• Modern biomass technologies
• Renewable energy and smart Grid
• Power electronics and control of renewable energy


Dr. Salim EL KHEDIRI

Associate Professor- Information Technology Department
College of Computer, Qassim University
Al-Qassim

Kingdom of Saudi Arabia (KSA)

ICEICT24-SSN-10: Challenges in Ensuring Security and Privacy for Cyber-Physical Systems

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Objectives and Motivation

Cyber-Physical Systems (CPS) play a crucial role in various aspects of our daily lives, from manufacturing to military applications. These systems, encompassing intelligent products like self-driving cars, cities, and hospitals, are designed to interconnect computation, physical processes, and networking. Despite their transformative potential, CPS face challenges, including technical, scientific, and social aspects. Significant concerns revolve around security and privacy, considering the potential for data manipulation and breaches. Challenges include the paucity of consistent language, software design errors, and the need for reliable physical objects. Security issues encompass confidentiality, integrity, availability, authenticity, and trustworthiness, with side-channel attacks exploiting leaked data. This special issue aims to address these challenges, calling upon researchers and practitioners to contribute innovative solutions for enhanced security and privacy in cyber-physical systems, considering their unique constraints and vulnerabilities.
This Special session aims to brings together efficient international academic scientists, young researchers, and students making the congress a perfect platform to share experience, gain and evaluate emerging technologies in CPS research across the globe.
Scope and Interests (not limited to)
Suggested topics include, but are not limited to, the following,
• Cyber-physical systems security: challenges, limitations and future trends
• Cyber-physical systems: emerging safety, reliability and security issues
• Robotics and cps for industry 4.0
• Blockchain and cyber-physical systems to control risks and data threats in business
• Security, networking, and computing of cyber-physical systems
• AI and machine learning for cyber-physical systems
• Detecting malware in cps using AI
• Future of manufacturing with CPS.
• Cyber-physical systems as a driver of innovation in mobility
• Cyber-physical systems for healthcare
• Industrial cyber-physical systems for an emerging digital era
• Cyber-physical systems for brain-related disorders
• Real-time issues for Cyber-physical systems
• Decision-making applications and mechanisms with CPS
Prof. Dr. Wael Mohamed

Associate Professor- Computer Science Department
College of Computer Science and Engineering
Taibah University

Saudi Arabia

ICEICT24-SSN-11: Social Media and Big Data Analytics

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Objectives and Motivation
Social media platforms generate massive amounts of data every day, some of these large amounts of data include posts, comments, likes, shares, and more. This data, known as big data, contains important insights that can assist businesses in understanding their customers better, improving their products and services, and enhancing their marketing strategies. Big data analytics helps organizations in processing and analyzing this data to uncover and find patterns, trends, and correlations that would be difficult to identify using traditional methods. Businesses can make more informed decisions, drive innovation, and stay ahead of the competition in today's digital world. All by the help of leveraging social media data with big data analytics.
This session aims to attract and benefit a wide range of professionals and researchers, including students, data scientists, social media analysts, and academics.

Big Data Analytics Scope and Interests (not limited to)
1. Social Media Analytics
2. Health Informatics and Analytics
3. Data Mining and Knowledge Discovery
4. Machine Learning and Artificial Intelligence for data analytics
5. Natural Language Processing and Text Mining
6. Big Data Technology and Applications
7. Cybersecurity Analytics
8. Computer Vision for Social Media Analytics
9. Business Intelligence and Analytics
10. Visualization Techniques for Social Media Data
11. Big Data Analytics and Technologies
12. Future Trends in Data Analytics
Dr. Elrasheed Ismail M. Zayid

Associate Professor- Information Systems Department
Faculty of Computing Science &IT, University of Bisha
Bisha

Saudi Arabia

ICEICT24-SSN-12: Evaluating machine learning role on big data engineering and networks cybercrime issues

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Objectives and Motivation

Massive data engineering and analysis is about applying algorithms to data, rather than using data to “train” a machine-learning engine of some sort. Are you interested in taking part in shaping and adding new dimensions to the future machine learning and networks across big data? Todate Machine learning, networks threats, and Big Data are all about and how they impact every aspect of our lives, society, and business? https://canwestconference.org/ is the right place to be.

This session seeks peer-reviewed papers focused in-depth on today's hot issues that are very related to: machine learning, massive data analysis, networking and cybercrime aspects that form the interest of our kind audience. The session articles will undergo the same intense review process as regular conference papers, and submission is not a guarantee of acceptance. The selected papers will be published as part of the https://canwestconference.org/ Proceedings; and will be submitted to the SCOPUS and indexing services.
Original contributions from researchers describing their original, unpublished, research contribution which is not currently under review by another conference or journal and addressing state-of-the-art research are invited to share their work. The Topics of interest include but not limited to:

• Big Data, Data Engineering, and Data Analytics.
• Artificial Neural Networks
• Machine Learning, and Cognitive Computing.
• Networks, Connectivity, and Networking.
• Cybersecurity and Cybercrime.
Dr. Elmissaoui Taoufik

Assistant Professor- Transport Technology Department, Higher Institute of Transport and Logistics of Sousse, Sousse University

Tunisia
ICEICT24-SSN-13: Applying Deep Learning Techniques to Addressing the Hybrid Capacitated Time-Window Vehicle Routing Problem (HCVRP-TW)

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Objectives and Motivation
In today's era of rapid technological advancements, deep learning has emerged as a powerful tool in various domains, offering solutions to complex optimization problems. The Hybrid Capacitated Time-Window Vehicle Routing Problem (HCVRP-TW) poses significant challenges in logistics and transportation management, requiring efficient allocation of resources and optimization of delivery routes within specified time windows. By applying deep learning techniques to HCVRP-TW, we aim to harness the potential of artificial intelligence to improve route planning, minimize delivery costs, and enhance overall operational efficiency in logistics networks. This research endeavors to explore novel methodologies that leverage deep learning algorithms to tackle the complexities inherent in HCVRP-TW, ultimately contributing to advancements in supply chain management and transportation logistics.

Scope and Interests (not limited to):

• Utilizing deep learning for route optimization in HCVRP-TW
• Investigating neural network architectures for modeling complex routing constraints
• Integrating real-time data and environmental factors into route planning algorithms
• Enhancing decision-making processes through deep reinforcement learning techniques
• Addressing scalability and computational efficiency challenges in deep learning-based HCVRP-TW solutions
• Evaluating the performance and effectiveness of deep learning approaches in improving logistics operations
• Exploring potential applications of deep learning in related areas such as fleet management, last-mile delivery optimization, and urban logistics planning

Prof. Dr. Salah Awad Salman

Professor- Transport Technology Department, Higher Institute of Transport and Logistics of Sousse, Sousse UniversityCollege of Computer Science and Information Technology, University of Anbar
Anbar


Iraq
ICEICT24-SSN-14: Computer Engineering - Wireless Networks and Digital Processing

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Objectives and Motivation
In the context of the rapid deployment of the digital communication technologies, the opportunities arising from developments in Information and Communication Technology (ICT) are very promising, improving competitiveness and innovation in industry and meeting the demands of society and the economy.
Communication Technology is one of the most important connectivity technologies required by today's business organizations and Internet of Things (IoT) systems, ranging from smart home appliances to smart city systems. In addition, this session covers a large number of topics and applications: from wireless networking technologies to mobile information systems. Furthermore, security of wireless and mobile environment, protocols for wireless and mobility, internet infrastructures and applications, and future in mobile systems.
This Special session aims to brings together efficient international academic scientists, young researchers, and students making the congress a perfect platform to share experience, gain and evaluate emerging technologies in ICT research across the globe.
Scope and Interests (not limited to)
• Wireless Networks
• Computer Networks
• Digital Processing
• Computer Network and Architecture
• Wireless networks protocols
• Wireless Sensor Networks
• Cloud Computing and Fog
• Sufficient-defined networks
• Internet of Things

Ass. T. Yaqeen Saad Ali

Assistant Lecture- Computer Science Department
College of Computer Science and Information Technology, Anbar University

Iraq
ICEICT24-SSN-15: AI, Data Mining, and Pattern Recognition

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Objectives and Motivation
In the context of the rapid deployment of the digital communication technologies, the opportunities arising from developments in Information and Communication Technology (ICT) are very promising, improving competitiveness and innovation in industry and meeting the demands of society and the economy.
Communication Technology is one of the most important connectivity technologies required by today's business organizations and Internet of Things (IoT) systems, ranging from smart home appliances to smart city systems. In addition, this session covers a large number of topics and applications: from wireless networking technologies to mobile information systems. Furthermore, security of wireless and mobile environment, protocols for wireless and mobility, internet infrastructures and applications, and future in mobile systems.
This Special session aims to brings together efficient international academic scientists, young researchers, and students making the congress a perfect platform to share experience, gain and evaluate emerging technologies in ICT research across the globe.
Scope and Interests (not limited to)
• Image
• Artificial Intelligent
• Data Mining
• Image Processing
• Algorithms
• Pattern Recognition
• Feature Extraction
• Machine Learning
• Artificial Neural Networks
• Classification
• Texture Analysis
• Python
• Clustering
Ass. T. Rihab Hazim Qassim

Assistant Lecture- Computer Science Department
College of Computer Science and Information Technology, Anbar University

Iraq
ICEICT24-SSN-16: Image Processing and ANN

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Objectives and Motivation
In the context of the rapid deployment of the digital communication technologies, the opportunities arising from developments in Information and Communication Technology (ICT) are very promising, improving competitiveness and innovation in industry and meeting the demands of society and the economy.
Communication Technology is one of the most important connectivity technologies required by today's business organizations and Internet of Things (IoT) systems, ranging from smart home appliances to smart city systems. In addition, this session covers a large number of topics and applications: from wireless networking technologies to mobile information systems. Furthermore, security of wireless and mobile environment, protocols for wireless and mobility, internet infrastructures and applications, and future in mobile systems.
This Special session aims to brings together efficient international academic scientists, young researchers, and students making the congress a perfect platform to share experience, gain and evaluate emerging technologies in ICT research across the globe.
Scope and Interests (not limited to)
• Images
• Histogram
• Image Analysis
• Image Processing
• Algorithms
• Image Enhancement
• Pattern Recognition
• Feature Extraction
• Machine Learning
• Artificial Neural Networks
• Classification
• Texture Analysis
• MATLAB
• Circle Detect
• Applications of Industry
Asst. T. Sura Mahroos Searan

Assistant Lecture- Computer Science Department
College of Computer Science and Information Technology, University of Anbar

Iraq
ICEICT24-SSN-17: Information Security and ICT

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Objectives and Motivation
In the context of the rapid deployment of the digital communication technologies, the opportunities arising from developments in Information and Communication Technology (ICT) are very promising, improving competitiveness and innovation in industry and meeting the demands of society and the economy.
Communication Technology is one of the most important connectivity technologies required by today's business organizations and Internet of Things (IoT) systems, ranging from smart home appliances to smart city systems. In addition, this session covers a large number of topics and applications: from wireless networking technologies to mobile information systems. Furthermore, security of wireless and mobile environment, protocols for wireless and mobility, internet infrastructures and applications, and future in mobile systems.
This Special session aims to brings together efficient international academic scientists, young researchers, and students making the congress a perfect platform to share experience, gain and evaluate emerging technologies in ICT research across the globe.
Scope and Interests (not limited to)
• Information Security
• Cyber Security
• Cloud computing
• Cloud and Big Data Analytics
• Image and video Processing
• Communication Technology and Systems
• Wireless Communication and Internet of Things
• Computer Network and Architecture
• Wireless networks protocols
• Telecommunications in Smart Cities

Prof. Mohammed Akour

Professor- Software Engineering Department
College of Computer and Information Sciences, Prince Sultan university


Kingdom of Saudi Arabia (KSA)
ICEICT24-SSN-18: Interdisciplinary Innovations: Exploring the Synergy of Artificial Intelligence and Software Engineering

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Objectives and Motivation

The objective of this special issue is to explore the intersection of Artificial Intelligence (AI) and Software Engineering (SE), focusing on how these disciplines can collaborate to address challenges and provide optimal solutions in various research areas. This special issue aims to highlight the increasing importance of AI in SE, as well as the utilization of SE methodologies and techniques in AI challenges. By bringing together researchers, students, and industry experts, the objective is to build collaboration and knowledge exchange to advance the state-of-the-art in software automation, optimization, efficiency, and effectiveness.

Scope and Interests (not limited to)
• AI for software engineering automation
• Leveraging AI in requirements Engineering
• AI based software architecture knowledge extraction
• Software faults detection improvement using AI
• AI based models for software artifacts’ quality evaluation
• AI based computer assisted coding
• AI assisted Software Debugging and Testing
• Application of AI to Program Analysis
• Application of AI to Software Documentation & Summarization
• Application of AI in Software Maintenance
• Application of AI to Software Optimization
• Advancement in technologies of AI for SE
• AI for Software Traceability
• AI in Quality Assessment and Improvement
• AI for Software Reverse Engineering
• AI for modeling in software engineering





Prof. Dr. Luigi Vladareanu

Institute of Solid Mechanics of the Romanian Academy, Romania


Prof. Dr. Hongbo Wang

Academy for Engineering and Technology, Fudan University, China





Prof. Dr. Yongfei Feng

Ningbo University, China


Prof. Jianye Niu

Yanshan University
China
ICIEICT24-SSN-19: Advanced Intelligent Control in Robotics

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Topics. Advanced intelligent control; Robot control; Rehabilitation; Mobile robots; Intelligent sensor systems; New technologies; Adaptive sensor networks; Virtual and augmented reality; Intelligent remote control and communication; Advanced intelligent control; Rehabilitation robot; Service robot for the elderly; Intelligent sensor systems; Intelligent decision support systems; Upper and lower limb rehabilitation robot; Finger rehabilitation robot; Vascular intervention surgical robot; Assisting robots for the disabled and the elderly; Walking robots with a parallel leg mechanism; Nursing robots for transporting patients; Intelligent robot control; Cheetah-inspired quadruped robot; Monocular vision; Human joint angle measurement; Dynamics modeling of human–machine coordination; Visual detection method; Hand disability.
Dr. Mounira TLILI

Assistant Professor- Computer Science
Higher Institute of Transport and Logistics of Sousse

MARS Research Lab, Higher Institute of Computer Science and Communication Technologies
University of Sousse

Tunisia
ICIEICT24-SSN-20: The challenges of AI in Industry 4.0/5.0

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Objectives and Motivation

In recent years, the convergence of advanced technologies and industry requirements has led to the emergence of Industry 4.0/5.0. This interdisciplinary field combines the power of artificial intelligence (AI) and optimization techniques to revolutionize many aspects of industry services. The AI technologies can include but not limited Machine Learning, Deep Learning, Internet of Things, Cloud Computing, Big Data, etc. Nevertheless, the adoption of AI technologies for Industry 4.0/5.0 varies considerably among industry sectors (manufacturing industry, pharmaceutical industry). The industrial AI is concerned with productivity improvement, cost reduction, network optimization, predictive analysis, predictive maintenance, etc.

This special session aims to bring together researchers, practitioners, and experts in the field of industrial artificial intelligence. This call for paper invites submissions related to intelligent systems and their applications in various industry sectors. It will also provide a platform for exchanging ideas, discussing recent developments, and exploring innovative solutions to challenges in the industry domain.


Scope and Interests (not limited to)
• Artificial Intelligence applied on manufacturing industry
• Optimization and artificial methods for production
• Optimization and AI in pharmaceutical industry
• Challenges of AI in Sustainable Supply chain
• Data-driven optimization in industry sectors
• Optimization and AI methods of pharmaceutical industry during crisis situations
• AI methods coupled with meta-heuristics for optimizing production planning, resource allocation, VRP, etc.
• AI methods with Hyper heuristic
• Cloud Computing and Big Data Analytics
Dr. Zelalem Mengistu

Associate Professor - Information Systems Department
Bay Atlantic University (BAU)
Washington, D.C.

USA
ICIEICT24-SSN-21: Current Trends/Advanced Topics in Information and Communication Technology

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Objectives and Motivation

In the context of the rapid deployment of the digital communication technologies, the opportunities arising from developments in Information and Communication Technology (ICT) are very promising, improving competitiveness and innovation in industry and meeting the demands of society and the economy.
Communication Technology is one of the most important connectivity technologies required by today's business organizations and Internet of Things (IoT) and Internet of Medical Things (IoMT) systems, ranging from smart home appliances to smart city systems and medical devices/applications. In addition, this session covers a large number of topics and applications: from wireless networking technologies to mobile information systems, supply chain risks, and quantum cryptography. Furthermore, security of wireless and mobile environment, protocols for wireless and mobility, internet infrastructures and applications, and future in mobile systems, among other things.
This Special session aims to bring together international academic scientists, young researchers, and students making the congress a perfect platform to share experience, gain insights and evaluate emerging technologies in ICT research across the globe.

Scope and Interests include, but are not limited to:

• Quantum cryptography
• Cloud and Big Data Analytics
• Supply chain cyber risks
• Advanced Persistent Threats (APTs)
• Communication Technology and Systems
• Smart city, Internet of Things (IoT), and Internet of Medical Things (IoMT)
• Computer Network and Architecture
• Zero Trust security model
• Cyber Threat Modeling
• Detecting Indicator of Compromises (IOCs)
• Information/Cloud Security
• Risk management and mitigation
• Development and Operations (DevOps) and Machine Learning Operations (MLOps)
• Robotics and Artificial Intelligence
• Intelligent System and Human Computer Interaction
• Machine Learning and Artificial Intelligence
• Wireless networks protocols
• Telecommunications in Smart Cities
• Cybersecurity legal and ethical issues
•Cyber diplomacy
• Metadata
Dr. Somayeh Allahyari

Assistant Professor- Department of Management
Birmingham Business School, University of Birmingham
Birmingham

United Kingdom (UK)
ICIEICT24-SSN-22: Transforming Urban Environments: Innovations in Smart Cities

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Objectives and Motivation
In the dynamic context of urban evolution, smart cities emerge as crucibles for sustainability, efficiency, and innovation, leveraging the synergy between technology and urban life. This session, "Transforming Urban Environments: Innovations in Smart Cities," is dedicated to unearthing the technological advancements and innovative methodologies that underpin the smart city paradigm—from the integration of computing and renewable energy systems to advancements in urban infrastructure and mobility—that are driving the evolution of urban areas worldwide.
Emphasizing sustainable urban planning, intelligent transportation systems, renewable energy, and digital governance, we aim to highlight how these management disciplines and technological potentials contribute to fostering a comprehensive dialogue on making cities smarter, more resilient, and sustainable, and to enhancing the quality of life for city dwellers.
We invite contributions that provide insights into the development, deployment, and optimization of smart city technologies and methodologies, with an emphasis on their application in improving urban infrastructure, mobility, energy management, and citizen engagement. This session is an unparalleled platform for researchers, industry experts, urban planners, and policymakers to share cutting-edge research, best practices, and visionary approaches for designing the smart cities of tomorrow.

Scope and Interests (not limited to)
• Advanced Computing and Information Technologies for Urban Management: Exploiting cloud computing, data mining, big data analytics, AI, IoT, and cybersecurity to enhance urban infrastructure and services.
• Operations Management and Smart Logistics: Innovations in urban operations, leveraging IoT, blockchain, and AI for efficient, transparent, and resilient urban logistics and distribution networks.
• Management Science in Urban Planning: Application of quantitative and qualitative models, simulation, and optimization techniques in traffic management, public transport systems, and resource allocation for sustainable urban development.
• Renewable Energy Networks and Sustainable Urban Energy Systems: Integration and optimization of renewable energy sources within urban settings, supported by smart grid and IoT technologies.
• Smart Mobility Solutions and Autonomous Vehicles: Enhancing urban transportation through innovative mobility solutions, including the development of mobile networks, sharing economy, gig economy, and integration of autonomous vehicles and smart traffic management systems.
• Digital Twins and Urban Simulation for Planning and Management: Utilizing AR/VR/MR and digital twins for immersive urban planning, infrastructure management, and engaging citizen participation.
• Blockchain for Secure Urban Operations: Deploying blockchain technology for enhancing transparency, security, and efficiency in urban governance and services.
• AI and Machine Learning for Smart City Operations: Utilizing AI to improve urban services such as waste management, water distribution, and predictive maintenance of infrastructure.


Dr Haider Raza and Dr Vishal Krishna Singh

Professor- School of Computer Science and Electronics Engineering,
University of Essex

United Kingdom
ICIEICT24-SSN-23: AI and Its Application to Healthcare

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Objectives and Motivation
We propose a special session on "AI and Its Application to Healthcare" for the International Conference on Innovation of Emerging Information and Communication Technology (ICIEICT'2024) in Casablanca, Morocco. As the conference focuses on communication, computer science, electrical and electronics engineering, telecommunication engineering, and information technology, this special session will explore the intersection of artificial intelligence (AI) and healthcare.
With advancements in AI, its application in healthcare has seen remarkable progress, revolutionizing diagnostics, treatment, and patient care. This special session aims to bring together researchers, practitioners, and experts to discuss recent innovations, challenges, and opportunities in utilizing AI for improving healthcare outcomes.
Topics of Interests for this special session include but are not limited to.
• AI-based medical imaging and diagnostics
• Advance AI methods in diagnostics
• Explainable AI in Healthcare
• Brain-computer interfacing and neural engineering
• Predictive analytics and personalized medicine
• Natural language processing for healthcare data analysis
• Robotics and automation in healthcare delivery
• AI-driven drug discovery and development
• Ethical and social implications of AI in healthcare
• Implementation challenges and case studies in AI adoption in healthcare settings
Dr. Asma Najet LAKHAL GHARBI

Assistant professor, Faculty of Sciences, Carthage University, Bizerte

Tunisia
ICIEICT24-SSN-24: Decentralized Pathways: Advancing Mobile Multi-Robot Systems through Blockchain Technology

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Objectives and Motivation
This conference session will delve into the intersection of blockchain technology, artificial intelligence and mobile multi-robot systems, exploring the potential synergies and applications that arise from their integration.
Blockchain technology provides a secure and transparent way to record transactions across multiple parties in a tamper-proof manner. This can be valuable in robotics applications for ensuring data integrity, tracking the provenance of components, and enabling secure peer-to-peer communication between robotic devices.
In addition, blockchain can enhance security, enable decentralized control and facilitate automated transactions between robots or between robots and other entities.
Moreover, blockchain can incentivize collaboration and sharing of resources in robotics networks, such as sharing sensor data or computational resources among robots in a swarm.
Within this session, we'll investigate how AI algorithms can be integrated into mobile robots to enable autonomous decision-making, path planning, and task allocation, leveraging data stored securely on the blockchain to inform real-time decision-making processes.
We'll also explore the role of AI in optimizing resource allocation, energy management, and fault tolerance within decentralized robotic networks.
Therefore, by harnessing the principles of decentralization, transparency, and cryptographic security inherent in blockchain, coupled with AI’s cognitive capabilities, we aim to elucidate how these technologies can revolutionize the operation, coordination, and autonomy of mobile robot networks. Through a combination of theoretical discussions, demonstrations, and real-world case studies, attendees will gain insights into the transformative power of blockchain in enhancing the efficiency, reliability, and trustworthiness of mobile multi-robot systems.
Whether you're a researcher, industry professional, or technology enthusiast, this session promises to provide valuable perspectives on robotics, AI and blockchain integration, and how this convergence is reshaping the landscape of autonomous systems.

Scope and Interests (not limited to)

• Intelligent robots
• AI -driven decision-making algorithms
• Distributed consensus mechanism
• Secure communication protocols
• Decentralized control architectures
• Smart contracts

Dr. Hossien Eldeeb

Computer & Communication Engineering Department
College of Engineering, Khalifa University
Abu Dhabi

United Arab Emirates (UAE)
ICIEICT24-SSN-25: Exploring the Future of OWC: Advancements and Integration Perspectives

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Objectives and Motivation
The field of Optical Wireless Communication (OWC) has garnered significant attention due to its distinctive attributes, including a wide unregulated spectrum, inherent physical layer security, high transmission speeds, and immunity to electromagnetic interference. OWC has emerged as a leading technology for future wireless systems, propelled by advancements in solid-state light sources and photodetectors. However, widespread market adoption poses a challenge, requiring innovative solutions to integrate OWC with existing communication infrastructures and ensure compatibility with current standards and protocols.
Moreover, it's important to recognize that future communication networks demand performance indicators that go beyond conventional metrics such as data rate and latency. Resilience, inherent intelligence, self-adaptation, pervasive coverage, access equality, and contributions to achieving net-zero emissions are comprehensive KPIs for future networks, as emphasized in industry strategic roadmaps and global 6G initiatives. Hence, the OWC community must demonstrate how this emerging technology can effectively contribute to these KPIs.
To promote advancements in OWC and address the integration gaps within beyond 5G network architecture and standardization efforts, this special session aims to bring together researchers and developers from academia and industry. The session will serve as a platform for sharing the latest trends in OWC systems and networks, fostering collaboration and idea exchange among experts in the field.

Scope and Interests (not limited to)
• OWC systems and architectures
• Standardization efforts and protocols for OWC
• Modulation techniques, coding, detection and signal processing for OWC
• Channel modeling and characterization in OWC
• Integration of OWC into beyond 5G networks
• Satellite communication, including LEO and DSOC
• Relaying techniques and RIS for OWC
• Physical layer security in OWC
• Energy efficiency and sustainability in OWC
• OWC for IoT and smart city applications
• Integrated sensing, harvesting, and communication in OWC
• Hybrid OWC systems and integration with existing RF communication infrastructures
• Optics system design for OWC
• Multiple access techniques for OWC, NOMA, OFDMA, and RSMA
• AI/ML for OWC networks
• Experimental demonstrations, prototypes, and field trials of OWC systems
• Cross-layer design and optimization in OWC
• Novel applications and use cases for OWC
Dr. Zainab Rasheed

Assistant Professor- Faculty of Mathematics & Data Science
Emriates Aviation University

United Arab Emirates (UAE)
ICIEICT24-SSN-26: Augmented Intelligence: Artificial Intelligence and Augmented Reality Revolutionizing Industries

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Objectives and Motivation
In the context of the rapid advancement of digital technologies, the convergence of artificial intelligence (AI) and augmented reality (AR) presents a wave of groundbreaking opportunities. This combined force, often referred to as Augmented Intelligence, holds immense promise for revolutionizing industries, fostering innovation, and driving economic growth.
Similar to how Information and Communication Technology (ICT) transformed business operations and societal connectivity, Augmented Intelligence has the potential to significantly enhance competitiveness across various sectors. Just as ICT encompasses a wide range of technologies like wireless networks and mobile systems, Augmented Intelligence leverages the power of AI and AR to create a dynamic ecosystem of applications.
This presentation aims to be a platform for exploration and understanding. We will delve into the core functionalities of AI and AR, examine how they work together, and showcase real-world examples of their transformative impact on industries like healthcare, education, engineering, and retail. By exploring these areas, we can gain valuable insights into the future potential of Augmented Intelligence, much like how ICT research sessions bring together experts to evaluate emerging technologies.
Ultimately, this presentation seeks to equip you with the knowledge and understanding to grasp the transformative power of Augmented Intelligence in shaping the future of work, learning, and the world around us.
Scope and Interests (not limited to)
• Augmented Reality and Virtual Reality AR/VR and its applications
• Robotics and Artificial Intelligence
• Intelligent System and Human Computer Interaction
• Machine Learning and Intelligent Systems
• Industry Transformation
• Innovation and progress:
• Educational Technologies (EdTech)
• Engineering the Future
Ts. Dr. Zainab Ajab Mohideen

Senior Information Technology Office
Lecturer School of Computer Science
Universiti Sains Malaysia (USM), Penang

Malaysia
ICIEICT24-SSN-27: Digital Transformation and Business Modernization

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Objectives and Motivation
The exceptional progress of digital communication technologies in the framework of Digital Transformation, and Business Modernization suggests rapid opportunities. The spread and use of Information and Communication Technology offer exceptional prospects, making relations highly competitive and fostering unmatched inventions across sectors. There are several reasons for the rapid development of the invention. They meet the growing needs of both society and the economy. It creates excellent possibilities for the efficient and effective development of organizations, allowing them to be more agile and strategic in their aspirations.
Digital transformation and business modernization is driven by the aspirations to increase operational efficiency, develop a customer-centric orientation, advance agility and innovation, enhance data-based decision-making, improve risk management and security, and pursue organizational alignment. Driven by the need to gain a competitive edge, address changing expectations of the digital customer, create efficiency and costs savings opportunities, achieve scalability and growth, benefit from data insights, and prepare for the future, organizations embark on this journey. The implementation of digital technologies, automation, and data analytics incorporates a strategic dimension and aims to optimize the business operations, advance the customer journey, boost innovation, and fortify the foundation for continued success in the digital environment.
This flagship conference seeks to bring together respected international academic experts, emerging researchers and students, providing a key platform to exchange insights, acquire knowledge and globally test emerging technologies in digital transformation and business modernization all. Through these forums, collaboration and innovation are encouraged, furthering growth in the industry.
Scope and Interests (not limited to)
• Digital Strategy Development
• System and Process Automation
• Software and Hardware Integration
• Customer Experience Enhancement
• Data Analytics Implementation
• Technology Integration
• Cloud Infrastructure Deployment
• IoT Device Integration
• AI and Machine Learning Implementation
• Agile Development Practices
Dr. Meysam
Haghshenas

Mechanical Engineering, University of Toledo, OH


USA
ICIEICT24-SSN-28: Current Trends in Advanced Manufacturing

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Objectives and Motivation
The symposium on "Current Trends in Advanced Manufacturing" aims to provide a platform for researchers, industry professionals, and academicians to explore and discuss the latest advancements, challenges, and opportunities in the field of manufacturing. This Special session aims to brings together efficient international academic scientists, young researchers, and students. By bringing together thought leaders and practitioners in the field, this symposium seeks to inspire collaboration, foster interdisciplinary dialogue, and accelerate the adoption of advanced manufacturing technologies for the benefit of society and the economy.

Scope and Interests (not limited to)
• Advances in conventional fabrication techniques (e.g., casting, forging, powder metallurgy, etc.)
• Sheet and bulk metal forming
• Mico- and nano-fabrication
• Manufacturing of non-metals (polymers, composites, etc.)
• Additive manufacturing of metals and non-metals
• Machin learning, Internet of Things, and Artificial intelligence in manufacturing
• Process-property-microstructure correlation in advance manufacturing
• Metal and fatigue testing of conventionally fabricated and additively manufactured materials
• Robotics and Automation in Manufacturing Processes
• Quality Control and Inspection Methods in Advanced Manufacturing
Dr. Melissa M. Sahl (chair)
Instructor - Information Systems
University of Maryland Baltimore County
Baltimore, MD

Dr. Mohammad Samarah (co-chair)
Professor of Practice – Information Systems
University of Maryland Baltimore County
Balitmore, MD

USA
ICIEICT24-SSN-29: Ethics in Computing and Software Engineering (ECSE)

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Objectives and Motivation
Software intensive devices are increasingly deployed in our world. Some are obvious and many are much less so to the general public. This raises questions about ethical use such as privacy, data, hardware resource use, transparency, and rights. Software should be ethical, reliable, and beautiful. Toward this endeavor, ethical aspects of software should be considered first and foremost. It is the goal of this session to discuss how to develop and implement ethical software in consideration of users, developers, politics, and society as a whole.

Scope and Interests (not limited to):

• Software and computing ethics
• Privacy policies in software
• Terms of service in software
• Privacy in software and software-intensive hardware
• Sustainability of hardware usage by software
• Standards, regulations, and legal aspects of software and computing ethics
• Software and computing ethics education
Dr. Ali Khoshkholghi

Assistant Professor
Department of Computer Science
Middlesex University, London

UK
ICIEICT24-SSN-30: Intelligent Systems for 6G Technology

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Objectives and Motivation
Integrating artificial intelligence and emerging technologies to develop advanced intelligent systems (AIS) revolutionizes various industries by providing improvements in efficiency and reducing costs. AIS leverage AI algorithms to make sense of vast amounts of data, enabling optimization, automation, and smart decision-making. However, there are still many open challenges in this area to be explored, especially in the context of future mobile networks and their use cases.
6G technology is still in its early stages of research and development, and the actual implementation and capabilities may evolve over time. The applications of 6G networks are vast, promising transformative changes across various industries and aspects of daily life, including smart cities, smart homes, healthcare, manufacturing, environmental monitoring, retail, agriculture, infrastructure, wearables, supply chain, logistics, and more. This special session aims to showcase research papers that contribute significant advancements in intelligent systems and technologies for different use cases of the next generation of mobile networks.

Scope and Interests (not limited to)

• Intelligent Transportation Systems
• Digital Twins
• Cloud and Edge Computing
• IoT
• Edge Intelligence
• Network Function Virtualization
• Software Defined Networks
• Radio Access Networks
• Mobile Core Networks
• Network Security
• AI and Machine Learning
• Blockchain
• V2X Communications
• Sustainable and Green Computing
• Autonomous systems
• Big Data Analytics






Pr. Mohamed Oubibi

Smart learning Institute of Beijing Normal University,
College of Education, Beijing Normal University,
China


Pr. Katsiaryna Hryshayeva
Beijing Foreign Studies University,
Beijing, China

Pr. Antony Fute
Yulin University, Yulin, Shaanxi,
China

Pr. Atif Saleem
Huaibei Normal University,
Anhui, China
ICIEICT24-SSN-31: Educational Innovation through Technology

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Objectives and Motivation

Artificial Intelligence (AI), Augmented Reality (AR), Virtual Reality (VR), and Information and Communication Technology (ICT) in education represent a paradigm shift in the way learning is approached and experienced. These technologies create immersive, interactive, and personalized educational environments, enhancing both teaching and learning processes. AI in education tailors the learning process to individual student needs, employing adaptive algorithms to customize content and pace. This technology also assists educators through automating administrative tasks and providing insightful data analytics on student performance. Meanwhile, AR and VR technologies are transforming traditional learning environments into immersive and interactive spaces. As these technologies become increasingly integrated into educational systems, they hold the promise of creating more personalized, efficient, and engaging learning experiences. However, addressing challenges such as equitable access, maintaining digital privacy, and ensuring the security of these systems is essential to fully realize their potential in transforming education.
This session aims to bring together researchers, academicians and practitioners for discussion and exchange of ideas on the latest concepts, frameworks, theoretical and applied developments, simulation and experimental results in this field of interest.
Scope and Interests (not limited to)
Topics for submission include, but are not limited to:
• Immersive learning with VR/AR /MR
• Big data and learning analytics
• AI in learning
• Microlearning
• Mobile/Ubiquitous learning
• Gamification innovation
• Learning engagement in online learning community
• Video-assisted learning in distance learning conditions
• Assessment and research
• Multidisciplinary/Interdisciplinary learning or teaching
• STEM/STEAM education
• Innovation of language teaching in digital learning environment
• Other topics related to technology integration into instructional design, curriculum, and evaluation.
Scientific committee
• Pr. Antony Fute, Yulin University, China
• Pr. Katsiaryna Hryshayeva, Beijing Foreign Studies University, China
• Pr. Atif Saleem, Huaibei Normal University, China
• Pr. Mohamed Oubibi, Beijing Normal University, China
• Dr. Tommy Tanu Wijaya, Beijing Normal University, China
• Dr. Alemi Sayed Hussain Agha, Zhejiang Normal University, China
• Dr. Kaixin Bao, Zhejiang Normal University, China
• Yangyang Li, Zhejiang Normal University, China
• Dr. Azziz Bichoualne, Zhejiang Normal University, China
• Pr. Mustapha Bassiri high normal school of casablanca. hassan ii university of casablanca (uh2c).
Prof. (Dr.) Mohamed LAHBY

Prof. (Dr.) Mohamed Othman Benammar

Laboratory of Applied Mathematics and Computer Science (LMAI)
Higher Normal School (ENS) - Casablanca
Hassan 2, University

Morocco

Prof. (Dr.) Elisa Schaeffer
McGill University, Canada

ICIEICT24-SSN-32: Empowering Digital Education with Generative AI Techniques

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Objectives and Motivation

As AI technologies continue to advance, the emergence of large language models (LLMs) like the ChatGPT tool is profoundly reshaping education. This tool provides personalized support, improves accessibility, and introduces innovative methods for students and educators to engage with information and learning materials. Furthermore, ChatGPT facilitates a wide range of language learning services, including language instruction, speech recognition, pronunciation feedback, and immersive virtual simulations for hands-on learning experiences.
This session serves as a dynamic platform for the exchange of ideas, experiences, and insights into the evolving landscape of education enhanced by Generative AI. From personalized learning experiences to novel teaching methods, the symposium examines how AI technologies are reshaping student engagement, intelligent tutoring systems, and assessment mechanisms.
Scope and Interests (not limited to)
Submissions for this special session should address, but are not limited to, the following or related topics:
• Recent Advances in Generative AI and Their Impact on Education
• The Transformative Influence of Generative AI on Learning and Teaching
• Navigating Education in the Age of Generative AI
• Pedagogical Approaches and Teaching Practices in the AI Era
• Training Teachers and Students with Generative AI Models
• Generative AI in Assistive Technology for Education
• Adaptive Learning with Generative AI
• Personalized Learning through Generative AI
• Assessment Theories & Methodologies Employing Generative AI
• Evaluating Learning Progress and Teaching Success with Generative AI
• Automated Feedback Systems using Generative AI
• Virtual Teaching Assistants and Generative AI
• Collaborative Learning in the Generative AI Landscape
• Generative AI's Role in Addressing Plagiarism
• Data Privacy and Ethical Considerations in Generative AI Education
• Futuristic Ideas and Case Studies

Scientific committee

• Pr. Abounada Abdelouahed, Sultan Moulay Slimane University, Morocco
• Salim El khediri University, Saudi Arabia
• Youssef BADDI, UCD, El Jadida, Morocco
• Jihene Rezgui, College Maisonneuve, Canada
• Benoit Hudzia, StateStreet Bank, United Kingdom
• Steven Latré , University of Antwerp - imec, Belgium
• Chun-Hung Liu, Mississippi State University, USA
• Tony Luo, Institute for Infocomm Research, Singapore
• Amitabh Mishra, University Of Delaware, USA
• Cong Shen University of Science and Technology of China
• Catarina Silva, University of Coimbra, Portugal
• Angelo Spognardi Sapienza, University of Rome, Italy
• Marwane Ayaida University of Reims, Champagne-Ardenne, France
• Chaker Abdelaziz KERRACHE PhD, University of Ghardaia, Algeria
• Muhammad Habib ur Rehman, Khalifa University of Science and Technology, UAE
• Akash Bhoi, Sikkim Manipal Institute of Technology, Sikkim, India
• Ching Yee YONG, University College of Technology Sarawak, Malaysia
• Chefi Triki , College of Science and Engineering, Hamad Bin Khalifa University, Qatar
• Abayomi Abdultaofeek, Durban University of Technology, South Africa
Prof. (Dr.) Chikh Khalid

Electrical Engineering Department
Science and Technology for the Engineer Laboratory (LaSTI)
National School of Applied Sciences (ENSA) - Khouribga
Sultan Moulay Slimane University

Morocco
ICIEICT24-SSN-33: The role of the renewable energy and energy efficiency for advancing the energy transition strategies

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Objectives and Motivation

With the continuous increase in electrical energy demand worldwide across all sectors (industry, residential, commercial and transportation), replacing the production of this energy from fossil fuels with renewable and decarbonized sources has become a pressing necessity. Furthermore, any energy transition strategy requires two primary vectors: the integration of renewable and decarbonized energies in the electrical grid; and energy efficiency in all sectors consuming the electrical energy.
This session aims to bring together researchers, academicians and practitioners for discussion and exchange of ideas on the latest concepts, frameworks, theoretical and applied developments, simulation and experimental results in this field of interest.
Scope and Interests (not limited to)
Submissions for this special session should address, but are not limited to, the following or related topics:
• Control of electrical machines and power electronics converters
• Renewable energy resources modeling and control
• Smart grid and microgrid architectures and models
• Electrical and hybrid vehicle monitoring and control
• Energy storage batteries: Modelling, control, monitoring, fast charging, grid integration
• Energy efficiency and energy economics
• Energy transition strategies
• Cyber-Physical systems
• Power to hydrogen: power to power, power to industry, power to mobility and power to gas
• Artificial intelligence applied in renewable energy or in energy efficiency.
• Nuclear power plants and SMR: Voltage, frequency and power flow control, stability, protection, cyber-security, modelling and load flow analysis

Scientific committee
• Pr. Abounada Abdelouahed, Sultan Moulay Slimane University, Morocco
• Pr. Abaali Lhoussine, Sultan Moulay Ismail University, Morocco
• Pr. Afia Aziz, Hassan II University, Morocco
• Pr. Bendaoud Mohamed, Sultan Moulay Slimane University, Morocco
• Pr. Bustillo Julien, INSA CVL, France
• Pr. Chikh khalid, Sultan Moulay Slimane University, Morocco
• Pr. El Fathi Amine, Abdelmalek Essaâdi University, Morocco
• Pr. Haumesser Lionel, Tours University, France
• Pr. Khafallah Mohamed, Hassan II University, Morocco
• Pr. Lokriti Abdesslam, Sultan Moulay Slimane University, Morocco
• Pr. Ouboubker Lahcen, Ibn Zohr University, Morocco
• Pr. Rubbaai Ahmed, Howard University, USA
• Pr. Sayouti Yassine, Hassan II University, Morocco
• Dr. Tahiri Fatima ezzahra, Hassan II University, Morocco
Prof. (Dr.) CHAKROAUI Mohamed

Materials Science, Mathematics and Environment Laboratory (LS2ME)
Polydisciplinary Faculty (FPK) - Khouribga
Sultan Moulay Slimane University

Morocco
ICIEICT24-SSN-34: Empowering Innovation: The Role of Artificial Intelligence and Computer Science Across Diverse Applications

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Objectives and Motivation

This topic delves into the pervasive influence of artificial intelligence (AI) and computer science across a wide array of applications, spanning industries and domains. By exploring the multifaceted impact of these technologies, from healthcare and finance to transportation and entertainment, this discussion aims to provide a comprehensive understanding of their role in driving innovation and shaping the future of technology. Motivated by the rapid advancements and transformative changes witnessed in recent years, the session seeks to inspire collaboration, foster innovation, and empower decision-makers to navigate the complexities of today's technological landscape. Ultimately, it aims to promote a forward-thinking mindset, encouraging individuals and organizations to explore new possibilities and leverage the potential of Artificial Intelligence and computer science for societal benefit.
Scope and Interests (not limited to)
Submissions for this special session should address, but are not limited to, the following or related topics:
• Healthcare: Artificial Intelligence for medical diagnostics, patient care ...
• Finance: AI-driven financial analysis, algorithmic trading, and blockchain technology ...
• Transportation: Artificial Intelligence for autonomous vehicles and smart transportation systems ...
• Entertainment: AI-powered recommendation systems and virtual reality (VR).
• Manufacturing: AI-driven automation and predictive maintenance in manufacturing.
• Agriculture: AI-enabled precision agriculture and crop monitoring ...
• Retail: AI-based customer analytics and supply chain optimization.
• Energy: Artificial Intelligence for renewable energy optimization and smart grids.
• Education: AI-driven personalized learning platforms and educational data analytics.
• Cybersecurity: AI-powered threat detection and security analytics.
• Environment: AI for environmental monitoring and climate modeling.
• Social Sciences: AI-driven social media analytics and opinion mining.
• Government and Policy: AI for decision support systems and policy analysis.
• Human-Computer Interaction: AI-driven interfaces and natural language processing.
• Computer Graphics: 2D/3D graphics programming, rendering techniques, and animation.
• Computer Vision: Image processing, object recognition, and computer vision applications.
• Data Mining
• Machine learning
• Deep Learning
• Big data applications
• Intelligent systems and sensors Complex systems
• Sensor application
• Intelligent manufacturing systems Intelligent medical systems Intelligent systems
• Intelligent transportation systems Mathematical models Neuro-fuzzy systems
• Robotics Social systems
• Web intelligence and interactions
• Computational intelligence Evolutionary computing
• Fault detection and diagnosis Fuzzy control Fuzzy sets and logic Fuzzy systems
• Granular computing
• Intelligent communications Intelligent electronics
• Intelligent electrical systems Information fusion
• Intelligent control
• Intelligence sensors
• Smart sensors
• Imaging sensors

Scientific committee
• Pr. Y. KHOURDIFI, Sultan Moulay Slimane University, Morocco
• Pr. I. BAKKOURI, Sultan Moulay Slimane University, Morocco
• Pr. H. ELHAMDAOUI, Sultan Moulay Slimane University, Morocco
• Pr. R. FAKHAR, Sultan Moulay Slimane University, Morocco
• Pr. A. DAROUICHI, FSTG, Marrakesh, Cadi Ayyad University, Morocco
• Pr. Z. Lamghari, High School of Technology (EST), Sidi Mohamed Ben Abdellah University, Morocco
• Pr. M. EL GUARMAH, Royal School of Aeronautics, Marrakesh, Morocco
• Pr. O. EL MESLOUHI, ENSA, SAFI, Cadi Ayyad University, Morocco Morocco
• Pr. A. ELKALAY, EST, Casablanca, Morocco
• Pr. A. HAKIM, FSTG, Marrakesh, Cadi Ayyad University, Morocco
• Pr. S. RAGHAY, FSTG, Marrakesh, Cadi Ayyad University, Morocco
• Pr. S. RAKRAK, FSTG, Marrakesh, Cadi Ayyad University, Morocco
• Pr. N. MOUHNI FST Errachidia, Moulay Ismaïl University, Meknes, Morocco
• Pr. S. BENKIRANE, ESTE, Cadi Ayyad University, Morocco
• Pr. O. BANOUAR, FST, Marrakech, Cadi Ayyad University, Morocco
• Pr. K. BOUZAACHANE, FST, Marrakech, Cadi Ayyad University, Morocco
• Pr. H. EL BAHI, ENCG, Marrakech, Cadi Ayyad University, Morocco
• Pr. M. CHAKRAOUI, FP, Khouribga, Sultan Moulay Slimane university Béni Mellal, Morocco
• Pr. A. ELBOUSHAKI, FST, Cadi Ayyad University ,Marrakech, Morocco
• Pr. S. EL HADAJ, ENCG, Cadi Ayyad University, Marrakech, Morocco
• Pr. A. GUEZZAZ, ESTE, Marrakech, Cadi Ayyad University ,Morocco
• Pr. A. HAQIQ, FST, Settat, Morocco
• Pr. A. OUAARAB, FST, Marrakech, Cadi Ayyad University, Morocco
• Pr. S. QASSIMI, FST, Marrakech, Cadi Ayyad University, Morocco
• Pr. Y. Saadi, Faculty of Sciences and Technics, Sultan Moulay Slimane university Béni Mellal, Morocco
• Pr. K. Fakhar, Hassan First University, National School of Applied Sciences, Berrechid, Morocco

Prof. (Dr.) Belhouideg Soufiane

Research Laboratory of Physics and Engineers Sciences, Polydisciplinary Faculty Beni Mellal
National School of Applied Sciences (ENSA) – Beni Mellal
Sultan Moulay Slimane

Morocco
ICIEICT24-SSN-35: Innovations in 3D Printing and Advancements in Mechanical of Materials

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Objectives and Motivation

The purpose of this session is to explore the latest innovations related to 3D printing technology and advancements in the field of mechanical materials. Their potential applications across various sectors will be highlighted. This session aims to inspire attendees by highlighting the transformative impact of 3D printing on mechanical materials. By bringing together researchers, engineers, and industry leaders, we seek to catalyze discussions, share insights, and spark new ideas that will propel the field forward, shaping the future of manufacturing and materials science.
Scope and Interests (not limited to)
Submissions for this special session should address, but are not limited to, the following or related topics:
• 3D printing technologies and techniques
• Advanced materials for additive manufacturing
• Design optimization and customization in 3D printing
• Applications of 3D printing in aerospace, automotive, healthcare, and other industries
• Characterization and testing of 3D printed components
• Sustainable practices and materials in 3D printing
• Material compositions and structures
• Advanced manufacturing techniques for materials
• Characterization and testing methods for mechanical properties
• Computational modeling and simulation of materials behavior
• Multifunctional and smart materials
• Sustainable materials and processes


Scientific committee
• Pr. Abdelkabir Maqsoud, University of Quebec in Abitibi-Temiscamingue, Canada
• Pr. Ahmed Bahlaoui, Sultan Moulay Slimane University, Morocco
• Pr. Alfredo Ronca, IPCB NRC Naples, Italy
• Pr. Bandar AlMangour, King Fahd University of Petroleum & Minerals, Saudi Arabia
• Pr. Cheikh Sidi Ethmane Kane, University of Nouakchott, Mauritania
• Pr. Fouad Erchiqui, University of Quebec in Abitibi-Temiscamingue, Canada
• Pr. Ismail Arroub, Sultan Moulay Slimane University, Morocco
• Pr. Jamaa Ben Gourram, Sultan Moulay Slimane University, Morocco
• Pr. Jamal Baliti, Sultan Moulay Slimane University, Morocco
• Pr. Lahcen Essaleh, Cadi Ayyad University, Morocco
• Pr. Manuel Lagache, Savoie Mont Blanc University, France
• Pr. Mohamed Ibrahim, University of Angers, France
• Pr. Mohamed El Afi, Sultan Moulay Slimane University, Morocco
• Pr. Mohamed Sammouda, Sultan Moulay Slimane University, Morocco
• Pr. Nadir Ayrilmiş, Istanbul University-Cerrahpasa, Turkey
• Pr. Omar Rajad, Sultan Moulay Slimane University, Morocco
• Pr. Rachid Bouferra, Cadi Ayyad University, Morocco
• Pr. Soufiane Belhouideg, Sultan Moulay Slimane University, Morocco
• Pr. Yassine Lakhal, Sultan Moulay Slimane University, Morocco
Pr. Abdessamad MALAOUI,
Sultan Moulay Slimane University,Beni Mellal, Morocco

Pr. Monji KHERALLAH,
Faculty of Sciences, University of Sfax

Tunisia
ICIEICT24-SSN-36: Smart-Cities and Information Technologies

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Objectives and Motivation

Smart-city integrates electronic design, embedded systems, soft skills for smart solutions, information and communication technologies, renewable energy, etc. in order to overcome current cities challenges as well as reducing carbon emission, energy consumption, integrating renewable energy, enhancing health services, etc.
Motivated by economic, environmental and technological changes, smart-cities are being constructed upon intelligent infrastructure. In fact the integration of infrastructures and technology mediated services, social learning for strengthening human infrastructure and governance for institutional improvement and citizen engagement cyst buy.
Scope and Interests (not limited to)
The primary goal of “Smart-Cities and Information Technologies” session is to share, discuss and exchange the latest research, theories and application for smart-cities. Authors are invited to submit original research papers, which propose new methodologies, approaches and research directions that cover a variety of topics.
Topics of interest include but are not limited to:
• Smart-cities and application
• Smart Grids
• Smart Energy Systems
• Embedded Sensor Networks
• Smart Healthcare
• Wearable Computing
• Smart Transportation
• Smart Sensors
• Educational Ecosystems
• Parameter Prediction and Forecasting
• Big Data Mining in Cities
• Monitoring and Surveillance Technologies
• Control of Cyber-Physical Systems
• Applications of Constraint Programming
• Multi-Agent Simulation
• Knowledge Representation in Asset Management
• Smart Houses
• Renewable Energy
• Green Energy
• E-learning for smart-cities
• Electrical engeenering for smart-cities
• Remote sensing for smart-cities
• Internet of Things (IoT) and platforms for smart cities

Scientific committee
1. Pr. Abdelouahab Zeroual. Cadi Ayyad University of Marrakech. Morocco
2. Pr. Abdessamad Malaoui. Sultan Moulay Slimane University of Beni Mellal. Morocco
3. Pr. Abdessamad Tounsi. Sultan Moulay Slimane University of Beni Mellal. Morocco
4. Pr. Ahmed El Khadimi. National Institute of Posts and Telecommunications. Morocco
5. Pr. Ahmed Toumi. University of Sfax. Tunisia
6. Pr. Belaid Bouikhalene. Sultan Moulay Slimane University of Beni Mellal. Morocco
7. Pr. Jilali Antari. Ibno Zohr University of Agadir. Morocco
8. Pr. Mohammed Essaidi. National School of Computer Science and Systems Analysis. Morocco
9. Pr. Moha M'rabet Hassani. Cadi Ayyad University of Marrakech. Morocco
10. Pr. Mohamed Selim Kayyali. International Federation of Global & Green ICT. USA
11. Pr. Mohammadi Benhmida. Chouaib Doukkali University of El Jadida. Morocco
12. Pr. Monji Kherallah. University of Sfax. Tunisia
Prof. Mohamed EL KHAILI
Electric Engineering and Intelligent Systems laboratory (EEIS)
ENSET Mohammedia,

Hassan II University of Casablanca

Morocco
ICIEICT24-SSN-37: Embedded Systems and AI for Industry 4.0

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Objectives and Motivation

AI and Big Data present many opportunities for the implementation of Industry 4.0. These innovative technologies allow researchers and manufacturers to store a large amount of data in a more secure manner, this data is then attacked by AI techniques in order to bring out ready-to-use models that improve over time. The special session on Embedded System and AI for Industry 4.0 aims to promote research for these emerging technologies, in order to share and exchange experiences, and research results, and to focus mainly on work that deals with System Embedded and AI in the industrial context and mainly the new generation of industry 'industry 4.0'. Our session solicits high-quality articles with new ideas, illustrating new models of artificial intelligence, machine learning, deep learning, big data, as well as the possibilities offered by the alliance between AI and Big Data.
This special session is a venue for bringing together multi-disciplinary researchers, professionals and practitioners from both academia and industry, who are engaged in different facets Embedded System and AI for Industry 4.0. Authors are cordially invited to submit original research papers in any aspects of Embedded System & AI with emphasis on but are not limited to the following topics:

Topics:
• AI and Industry 4.0
• AI and workflow automation
• Embedded Systems
• Intelligent Systems for smart logistics
• Intelligent Traffic and Transportation Systems
• Planning and Scheduling in industry 4.0
• IoT, IIoT and IOE (Internet of Everythings) in industry 4.0
• Information and communication technologies for the smart factory
• 5G Wireless Networks and Systems in industry 4.0
• Big data analytics in Industry 4.0
• Big Data Security, Privacy and Trust
• Cloud and Big Data for Internet of Things (IoT)
• Techniques and Algorithms for Real-Time Big Data Analytics
• Big Data and Data Science
• Blockchain and digitalization tools

The mentioned topics are just indicative and are not limited.


Scientific Committee

B. BEN HALA Sidi Mohammed Ben Abdellah University, SMBA, Fez. Morocco
K. BOUDARAYA Mohamed V University of Rabat UM5R. Morocco
K. CHOUKRI Hassan II University of Casablanca UH2C. Morocco
M. EL KHAILI Hassan II University of Casablanca UH2C. Morocco
A. KHIAT Hassan II University of Casablanca UH2C. Morocco
M. LAHBY Hassan II University of Casablanca UH2C. Morocco
H. NHAILA Hassan II University of Casablanca UH2C. Morocco
H. OUAJJI Hassan II University of Casablanca UH2C. Morocco
M. RAFIK Hassan II University of Casablanca UH2C. Morocco
H. SABER Mohamed V University of Rabat UM5R. Morocco
L. TERRADA Hassan II University of Casablanca UH2C. Morocco
A. ZAMMA Hassan II University of Casablanca UH2C. Morocco
Prof. (Dr.) Youssef MAZOUZ
Moroccan Center for Research and Studies in Social Sciences National (CEMARESS)
General secretary of the Cybersecurity African Center (CAC)
Institute of Social Work of Casablanca

Morocco
ICIEICT24-SSN-38: Cybersecurity in the age of artificial intelligence

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Objectives and Motivation

In today's digital landscape, the proliferation of cyber threats poses a significant challenge to organizations and individuals worldwide.
The advent of artificial intelligence (AI) has brought both opportunities and complexities to the realm of cybersecurity, revolutionizing how we detect, prevent, and respond to cyber-attacks.
This symposium aims to explore the evolving landscape of cybersecurity in the age of AI, examining the synergies, challenges, and ethical considerations that accompany this intersection. To bring together experts in the fields of cybersecurity and artificial intelligence to share knowledge, research findings, and best practices in addressing the evolving challenges and opportunities at the intersection of these two domains.
This session seeks to address the growing importance of understanding and adapting to the impacts of AI on cybersecurity, considering the increasing sophistication of cyber threats and attacks. By convening experts and stakeholders from both the cybersecurity and AI communities, the colloquium aims to catalyze cross-pollination of ideas and expertise to drive advancements in protecting digital infrastructure and data.
The motivation behind this session is to build a comprehensive understanding of the current state and future trajectories of AI-driven cybersecurity, and to empower participants with actionable insights and networking opportunities to shape the future of this critical domain.

Scope and Interests (not limited to)
Submissions for this special session should address, but are not limited to, the following or related topics:
1. Introduction to the Intersection of Cybersecurity and Artificial Intelligence
2. The Evolution of Cyber Threats in the Digital Age
3. Leveraging AI for Predictive Analytics in Cybersecurity
4. Anomaly Detection and Behavioral Analysis Using AI
5. Real-Time Threat Response with AI Integration
6. Ethical Considerations in AI-Powered Cybersecurity
7. Addressing Algorithmic Bias in Cybersecurity AI
8. Privacy and Data Protection in the Age of AI
9. Legal Implications of AI-Driven Cybersecurity
10. Collaborative Approaches to Cybersecurity and AI
11. Human Rights and Accountability in Ethical AI Deployment
12. Balancing Innovation and Ethical Imperatives in AI
13. Ensuring Transparency in AI Decision-Making for Cybersecurity
14. Building Resilience: Best Practices for AI-Centric Cybersecurity
15. Continuous Training and Skill Development for Cybersecurity Professionals
16. Governance Frameworks for Ethical AI in Cybersecurity
17. Mitigating Risks: Adversarial Exploitation of AI in Cyber Attacks
18. Industry Perspectives: AI Integration in Cybersecurity Solutions
19. The Role of Government and Policy in Ethical AI Deployment
20. Charting the Future: Collaborative Research and Innovation in AI-Driven Cybersecurity

Scientific committee

• ABDELLATIF CHAKOR, Professor-Researcher at the Faculty of Legal, Economic and Social Sciences, Souissi, Mohammed V University of Rabat, Morocco
• ADIL BOULAHOUAL, Professor-Researcher at the National School of Commerce and Management Casablanca, Morocco
• ADIL ELMARHOUM, Professor-Researcher at the Agdal Faculty of Legal, Economic and Social Sciences in Rabat, Morocco
• AMINE DAFIR, Professor-Researcher at the Faculty of Legal, Economic and Social Sciences Mohammadia, Morocco
• FARID ELBACHA, Professor-Researcher at the Agdal Faculty of Legal, Economic and Social Sciences in Rabat, Morocco
• HAMID SAMAKI, Professor-Researcher at the National Institute of Social Action of Tangier, Morocco
• HASNAA GABER, Professor-Researcher at the National School of Commerce and Management Casablanca, Morocco
• HICHAM ATTOUCH, Professor-Researcher at the Faculty of Legal, Economic and Social Sciences, Souissi, Mohammed V University of Rabat, Morocco
• HICHAM BELMAATI, Professor-Researcher at the National Institute of Social Action of Tangier, Morocco
• Lotfi LEMRAJNI, Professor-Researcher at the Faculty of Legal, Economic and Social Sciences, Souissi, Mohammed V University of Rabat, Morocco
• LOTFI BENAZZOU, Professor-Researcher at the National School of Commerce and Management of Kenitra, Morocco
• MOHAMED ACHRAF NAFZAOUI, Professor-Researcher at the National School of Commerce and Management of Kenitra, Morocco
• MOHAMED BELAFHAILI, Professor-Researcher at Hassan II University of Casablanca, Morocco
• MOHAMED HAICHAR, Professor-Researcher at the Alhassania School of Public Works in Casablanca, Morocco
• NAJIB ALIDRISSI, Professor-Researcher at the Mohammed VI University of Health Sciences in Casablanca, Morocco
• RACHID HASNAOUI, Professor-Researcher at Ibn Tofail University of Kénitra, Morocco
• SIHAM JABRAOUI, Professor-Researcher at the National School of Commerce and Management Casablanca, Morocco
• TAOUFIK BENKARAACHE, Professor-Researcher at Hassan II University of Casablanca, Morocco
• YASSINE REGRAGUI, Professor-Researcher at the National School of Commerce and Management of Casablanca, Morocco

Prof. Youssef LGHAZI
Prof. Mounir BELBAHLOUL
Physics-Chemistry Department
Normal High School Casablanca (ENSC)
Hassan II university of Casablanca

Morocco
ICIEICT24-SSN-39: Electrochemical characterization and synthesis of new materials intended for energy storage and the environment

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Objectives and Motivation

Electrochemical deposition, which has most recently been successfully used to fabricate a variety of parts for energy conversion and storage systems, is a common technique for characterizing and creating materials and devices.
The most recent developments in thin-film and nanostructure electrolytic and electroless growth, including principles, techniques, and applications, are covered in this symposium. We are looking for submissions regarding the use of electrochemical deposition in the fields of electronics, biomedical, environment sciences, energy conversion, and energy storage.
Studying the performance of these materials and their use as battery or supercapacitor electrode materials is made feasible by their electrochemical characterization by cyclic voltammetry and the galvanostatic charge discharge method.
Kindly review and discuss the most recent advancements and provide suggestions for future work.
Scope and Interests (not limited to)
We welcome original contributions from the following fields, among others:

• Electrochemical synthesis of oxides, alloys, semiconductors, and polymer.
• Electrodeposition of alloys: Under-potential co-deposition, anomalous co-deposition;
• Emerging and nanostructured materials for photovoltaics, (photo-)electrochemical conversion, electrocatalysis, hydrogen fuel, CO2 capture, energy storage, batteries, supercapacitors and fuel cells.
• New inhibitors for corrosion devices and modeling.
• Materials for batteries and supercapacitor electrodes: synthesis and characterization.
• Investigation of thin films electrodeposition mechanism.

Scientific committee

• Pr Mounir BELBAHLOUL, Hassan II University of Casablanca, Morocco
• Pr. Boubaker YOUBI, Hassan II University of Casablanca, Morocco
• Pr. Belaaouad Said, Hassan II University of Casablanca, Morocco
• Pr. Aziz AYNAOU, Hassan II University of Casablanca, Morocco
• Pr. Lhou MAJIDI, Mohammed V University of Rabat, Morocco
• Pr. Mohammed AIT HIMI, Hassan II University of Casablanca, Morocco
• Pr. Mohamed Marouane ELHAMMOUMI, Hassan II University of Casablanca, Morocco
• Pr. Mohamed CHAFI, Hassan II University of Casablanca, Morocco
• Pr. Saad Alami YOUNSSI, Hassan II University of Casablanca, Morocco
• Pr. Youssef LGHAZI, Hassan II University of Casablanca, Morocco.
Prof. Tahiri Abdelmajid

Educational sciences and educational technology Department
Higher School of Normals (ENS) of Moulay Ismail University-Meknes


Morocco
ICIEICT24-SSN-40: Educational Technology (EdTech) and Information and Communication Technology (ICT)

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Objectives and Motivation

Teaching is faced with several challenges requiring anticipatory reactivity and proactivity: challenges of a cognitive nature; of a relational and interactive nature that determines the nature of new relationships in the field of pedagogical engineering; of a strategic nature that consists of imagining new pedagogical and didactic reorientations to be implemented to successfully practice distance teaching, a policy that assumes the abilitý to reallocate resources optimally for distance teaching.

These challenges highlight the need for a process and a capacity for resilience in the various university environments. It's a matter of survival that finds in the evolution of ICT a real boon. As a result, educational practices need to be rethought.

The aim of this event is therefore to bring together researchers from a variety of disciplines, often far removed from one another, and to invite them to come and explore and enrich these issues in the light of their subjects of study. We consider that a cross-disciplinary look around the issue of distance learning and ICT can only be enriching for the participants in this event.
Scope and Interests (not limited to)
Submissions for this special session should address, but are not limited to, the following or related topics:
• Pedagogical approaches and use of ICT
• Ethics and ICT
• ICT use and integration
• Pedagogical engineering reference model
• Distance learning engineering.
• Educational Technologies (EdTech)
• E-Learning platforms
• Blended learning approaches
• Innovation in teaching practices through ICT
• Distance learning models and their relevance
• Logistics for implementing distance learning
• AI and Education
• Rethinking teaching: rethinking the role of the teacher
• Impact of distance learning on learner psychology and performance
• Soft Skills and skills development in the face of the COVID-19 pandemic
• Inequalities in access to distance learning
• Assessment methods and problems with ICT

Scientific committee
• Pr. Bassiri Mustapha, Hassan II University, Morocco
• Pr. Tahiri Abdelmajid, Moulay Ismail University, Morocco
• Pr. Benziane Karim, Sidi Mohamed Ben Abdellah University, Morocco
• Pr. Chikhaoui Hmida, Sidi Mohamed Ben Abdellah University, Morocco
• Pr. El alaoui el amrani Abdelaziz, Moulay Ismail University, Morocco
• Pr. Gougil Rachida, Sidi Mohamed Ben Abdellah University, Morocco
• Pr. Assermouh Jalal, Sidi Mohamed Ben Abdellah University, Morocco
• Pr. Ben fares Samiha, Sidi Mohamed Ben Abdellah University, Morocco
• Pr. El kattabi Khalid, Sidi Mohamed Ben Abdellah University, Morocco
• Pr. Barebzi Abdellah, Moulay Ismail University, Morocco
• Pr. Adadi Nouha, Sidi Mohamed Ben Abdellah University, Morocco
• Pr. Abdellaoui Alaoui El Arbi, Moulay Ismail University, Morocco
• Pr. Alhejji Aymen, Yanbu Industrial college, Saoudi Arabia
• Pr. Benbouhenni Habib, Istanbul Nisantasi University, Turkey
• Pr. Khattari Youness, Pau University, France
• Pr. Youssef Serrestou, National School of Engineering of Le Mans (ENSIM)
Le Mans University, France
• Pr. Benmoussa Khaoula, Moulay Ismail University, Morocco
• Pr. Ait tchakoucht Taha, Euromed University of Fes, Morocco
• Dr. Halim Mohamed, Sidi Mohamed Ben Abdellah University, Morocco
• Dr. Elghzizal Yassir, Sidi Mohamed Ben Abdellah University, Morocco
• Dr. Yessef Mourad, Sidi Mohamed Ben Abdellah University, Morocco
Prof. Soufiane ZERRAF
Prof. Mohammed BELGHITI

Chemistry Department
Faculty of Sciences Ben M’sick Casablanca (FSBM)
Hassan II university of Casablanca



Morocco
ICIEICT24-SSN-41: Microstructure characterization, mechanical properties and theoretically guided development of structural materials

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Objectives and Motivation

This symposium aims to bring together engineers and scientists from various fields to talk about the most recent advancements in material testing, modeling, and characterization. The link between a material's microstructure and mechanical properties under various complex loadings is given a lot of attention.
Enhancing knowledge and comprehension of materials' internal structure, physical characteristics, and behavior in response to in-service variables like mechanical, thermal, and environmental loadings as well as materials-related variables (phases, precipitates, grain size, etc.) is essential to ensuring the safety, dependability, and durability of materials and components. A sufficient modeling and simulation of material deformation, damage, and failure under application-relevant stress conditions is also necessary for the development of engineering components. Therefore, in order to construct material models that are appropriate for a given circumstance and to confidently estimate the behavior of safety-critical components, microstructure and mechanical characterization approaches need to be focused and intelligent.
Scope and Interests (not limited to)
Submissions for this special session should address, but are not limited to, the following or related topics:
• Fundamental physical deformation mechanisms in structural materials.
• Effect of in-service variables on microstructure and mechanical properties of materials.
• Characterization of structural materials using, for example, DIC, DIC 3D, SEM, EBSD, FIB-SEM, TEM, XRD, NDT.
• Mechanical test methods that characterize, for example, creep, fatigue, thermo-mechanical fatigue, bi-axial behavior and performance in different environments (e.g., vacuum, hydrogen).
• Failure of materials, including crack initiation and propagation under creep, fatigue, stress, corrosion, oxidation.
• Surface modifications/treatments and their effect on damage and mechanical properties,
• Modeling and numerical simulation approaches for material deformation and processing, and
• Fracture mechanics.

Scientific committee

• Pr. Ali H. Bahkali, King Saud University,Saudi Arabia.
• Pr. Belaaouad Said, Hassan II University of Casablanca, Morocco
• Pr. Belghiti Mohammed, Hassan II University of Casablanca, Morocco
• Pr. El Idrissi Mohammed, Sultan Moulay Slimane University, Morocco
• Pr. Salah Mohammed, Chouaïb Doukkali University, El Jadida, Morocco.
• Pr. Shifa Wang, Chongqing Three Gorges University, China.
• Pr. Meenakshi Verma, Chandigarh University. Gharuan, Mohali, India
• Pr. Zeroual Abdellah, Chouaïb Doukkali University, El Jadida, Morocco.
• Pr. Soufiane ZERRAF, Hassan II University of Casablanca, Morocco.
Prof. (Dr.) Belaaouad Said

Chemistry department
Laboratory of Physical Chemistry of Materials
Faculty of Sciences Ben M'Sick
Hassan II University Casablanca




Morocco
ICIEICT24-SSN-42: Materials - Energy and Technology

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Objectives and Motivation

The purpose of this special session is part of a major effort to unite all the actors involved in the research and development of innovative materials, applied to the knowledge and development of these materials, which exhibit energetic properties, magnetic etc. Understanding, knowing, preserving, restoring, innovating are the watchwords of materials science.
The three key aspects: Materials - Energy and Technology are essential themes given the current and future challenges of the energy and technology transition in relation to sustainable development approaches (eco-materials and sustainable construction).
This international conference will thus enable scientists and industry to not only shed light on the links between the themes dedicated to the Energy-Technology system, which are linked to the construction of innovative materials, but also to take stock of the latest advances. Scientists in the field of material sciences and their fields of application.
The aim would be to bring together energies and multi-disciplinary potentialities. This is an opportunity to create a wide space of exchanges and reflections involving both researchers from various scientific fields: chemistry, biology, materials, mechanics, thermal, acoustics, plastics, civil engineering, sustainable development, etc.
Scope and Interests (not limited to)
The main objective of the session "Materials - Energy and Technology" is to share, discuss and exchange the latest research: theoretical and praxeological for the construction of Innovative Materials.
Authors are invited to submit original research papers that propose new methodologies, approaches and research directions, covering a variety of subjects in the fields of Materials Science in relation to technical processes and technological / environmental sciences.
Submissions for this special session should address, but are not limited to, the following or related topics:
• Nanomaterials
• Structural Materials
• Materials chemistry and physics
• Synthesis and processing
• Polymer and composite materials
• Solar Energy
• Wind Energy
• Heat storage for solar thermal power plants
• The science of materials
• Materials for energy
• Materials Engineering
• Renewable Materials and Energies
• Energy Storage
• Waste Management Technique, recycling and environment
• Material processing technology
• Innovative recycling technologies
• Environmental aspects of waste treatment technologies waste
• Photovoltaic
• Technical / technology of treatment and characterization of Materials.
• Choice of Materials / Eco-friendly Building Materials / Design / Development Processes / Lifespan.
• Bio Composite Materials.
• Materials production technologies / waste recycling.


Scientific committee
• Pr. Said Belaaouad, Faculty of Sciences Ben M'sik, Hassan II University Casablanca Morocco
• Pr. Said Benmokhtar, Faculty of Sciences Ben M'sik, Hassan II University Casablanca Morocco
• Pr. Youssef Naimi, Faculty of Sciences Ben M'sik, Hassan II University Casablanca Morocco
• Pr. Mailka Tridane, Regional Center of Education and Training trades. Casablanca Morocco
Pr. QBADOU Mohammed

Modeling Simulation of Intelligent Industrial Systems Laboratory (M2S2I)
Normal Higher School of Technical Education (ENSET) - Mohammedia
Hassan II University of Casablanca





Morocco
ICIEICT24-SSN-43: Emerging Technologies and Future Trends in Smart Education Systems: Innovations, Applications, and Implications

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Objectives and Motivation

This session focuses on the transformative potential of emerging technologies—AI, VR, AR, robotics, and IoT—in education. It examines their influence on teaching methodologies, curriculum design, and educational outcomes, aiming to spur discussions on effective implementation and policy implications. The goal is to inspire innovation and collaboration among educators, researchers, policymakers, and stakeholders to enhance educational experiences. Integrating Information and Communication Technology (ICT) into classrooms and distance learning environments is recognized for improving the quality and effectiveness of education. Additionally, the emergence of AI techniques like Machine Learning (ML) and Deep Learning (DL), coupled with IoT, holds promise for addressing learning disabilities. The session serves as a platform to showcase recent high-quality research on the intelligent application of technology across primary to higher education levels, fostering inclusivity and innovation in educational practices
Scope and Interests (not limited to)
Submissions for this special session should address, but are not limited to, the following or related topics:
• Artificial Intelligence in Personalized Learning: Adaptive Tutoring Systems and Intelligent Content Delivery.
• Education: AI-driven personalized learning platforms and educational data analytics.
• Virtual Reality and Augmented Reality in Education: Immersive Learning Environments and Experiential Learning.
• Robotics in Special Education: Assistive Devices and Robotic Companions for Students with Disabilities.
• Internet of Things (IoT) in Smart Classrooms: Enhancing Learning Environments and Administrative Efficiency.
• Ethical Considerations in EdTech: Data Privacy, Bias Mitigation, and Digital Equity in Smart Education Systems.
• Innovative Mobile Learning Solutions: Microlearning Platforms and Mobile Apps for On-the-Go Learning.
• Blockchain Applications in Education: Secure Credentialing, Transparent Certification, and Academic Integrity.
• Gamification and Game-Based Learning: Engaging Students and Promoting Active Learning in Smart Education.
• AI-Powered Learning Analytics: Predictive Models, Student Performance Monitoring, and Personalized Feedback.
• Accessible Educational Robotics: Inclusive Design, User-Centered Development, and Empowering Students with Disabilities

Scientific committee
• ABRA Oum El Kheir CRMEF Rabat, Morocco
• AHRIZ Souad ENSET Mohammedia, Morocco
• AIT MADI Abdessalam ENSA Kenitra, Morocco
• AZZOUAZI Mohamed FS BEN M'SIK Casablanca, Morocco
• BENHRA Jamal ENSEM Casablanca, Morocco
• BENMOUSSA Nezha ENSET Mohammedia, Morocco
• BOUIHI Bouchra ENSET Mohammedia, Morocco
• BOUSSELHAM Abdelmajid ENSET Mohammedia, Morocco
• CHERRADI Bouchaib CRMEF El Jadida, Morocco
• DAAIF Abdelaziz ENSET Mohammedia, Morocco
• EL GUEMMAT KAMAL ENSET Mohammedia, Morocco
• EN-NAIMANI Zakaria ENSET Mohammedia, Morocco
• HAJJI Morad EST Meknes, Morocco
• KHIAT Azeddine ENSET Mohammedia, Morocco
• MANSOURI Khalifa ENSET Mohammedia, Morocco
• NFAOUI El habib FS Fez, Morocco
• QBADOU Mohammed ENSET Mohammedia, Morocco
• RAIHANI Abdelhadi ENSET Mohammedia, Morocco
• REBBANI Ahmed ENSET Mohammedia, Morocco
• RIYAMI Bouchaib UH2 Casablanca, Morocco
• SADIK Mohamed ENSEM Casablanca, Morocco
• SEMLALI AOURAGH HASSANI Naoual EMI UMV Rabat, Morocco
• SERRAR Ouafae CRMEF Marrakech, Morocco
• YOUSSFI Mohamed ENSET Mohammedia, Morocco
Prof. Azeddine KHIAT

Computing, Artificial Intelligence and Cyber Security Laboratory (2IACS)
Normal Higher School of Technical Education (ENSET) - Mohammedia
Hassan II University of Casablanca

Morocco
ICIEICT24-SSN-44: Artificial Intelligence and Blockchain for future Cybersecurity Applications, and Implications

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Objectives and Motivation

This session focuses on the rapid evolution of the convergence between artificial intelligence and blockchain in everyday and industrial applications. In centralized systems like healthcare, real-time data management between different systems poses a major challenge. Blockchain, with its decentralized database architecture, secure storage, data authentication, and sharing process, offers a potential solution to this issue. Moreover, artificial intelligence can integrate atop the blockchain to analyze shared data and derive insights for predictions. Blockchain, as an advanced cybersecurity technology, forms chains connecting existing blocks in nodes, thus providing a secure and chronological solution through node consensus. This technological convergence accelerates the growth of various sectors such as finance, insurance, cybersecurity, healthcare, forecasting, and cryptocurrency. However, with the increasing adoption of digital systems in these sectors, the risk of hacking also rises. The combination of blockchain and artificial intelligence power can constitute a strong defense against these threats. During this session, we will delve into the convergence of AI and blockchain in the cybersecurity domain, highlighting their essential role in protecting cyber-physical systems.
Scope and Interests (not limited to)
 Rapid evolution of AI and blockchain convergence
 Applications in everyday and industrial contexts
 Challenges in real-time data management in centralized systems like healthcare
 Potential of blockchain for secure data storage, authentication, and sharing
 Integration of AI for data analysis and prediction on blockchain
 Blockchain's role in cybersecurity with decentralized database architecture
 Growth acceleration in sectors like finance, insurance, cybersecurity, healthcare, forecasting, and cryptocurrency
 Increasing risk of hacking with digital system adoption
 Defense mechanisms through blockchain and AI integration
 Exploration of AI and blockchain's essential role in protecting cyber-physical systems
TOPICS
 Industry 4.0 & 5.0
 DevOps and Network Automation
 Cyber-Physical Systems
 Internet of Things (IoT)
 Innovation in Software-Defined Networks
 Next-Generation Networks
 IoT for Innovating Systems
 Artificial Intelligence (AI)
 Energy Efficiency
 Big Data, Data Mining, Knowledge Representation
 Social Computing, Social Implications for IoT
 Advanced Technologies in Telecommunications and Information Systems
 Cloud Computing
 Fog and Edge Computing
 Intelligent Systems
 Telecommunication Engineering.
 Intelligent Computing: Deep Learning and Machine Learning
 Embedded Systems
 Vehicular and Mobile Communications
 Security and Privacy
 Blockchain and its Applications
 Technological innovations in Digital transformation
 Agent-Based Systems, Expert Systems
 Multi-Agent Systems
 Information Systems and Technology
 Modeling and Simulation
 Applied Mathematics and Computation
 Web Services and Applications
 Model-Driven Engineering
 Semantics and Ontologies
 Transportation and Logistic Engineering
 Green Technology
Scientific committee
Abdellah OUAGHID, ENSET Mohammedia, Morocco
Abdessamad Kamous, ENSAM Casablanca, Hassan II University of Casablanca, Morocco
AHRIZ Souad, ENSET Mohammedia, Morocco
AIT MADI Abdessalam, ENSA Kenitra, Morocco
Asma Ait Ouallane, Hassan II University of Casablanca, Morocco
Asmaa Maali, Cadi Ayyad University-Marrakech, Morocco
Assia Bakali, Ecole Royale Navale, Morocco
Ayoub Bahnasse, ENSAM Casablanca, Morocco
Ayoub Loutfi, FLSHB, Hassan II University of Casablanca, Morocco
BENMOUSSA Nezha, ENSET Mohammedia, Morocco
Bishwajeet Pandey, GSSI- Gran Sasso Science Institute, Italy
BOUIHI Bouchra, ENSET Mohammedia, Morocco
BOUSSELHAM Abdelmajid, ENSET Mohammedia, Morocco
Chergui Meriyem, ENSEM Casablanca, Morocco
CHERRADI Bouchaib, CRMEF El Jadida, Morocco
DAAIF Abdelaziz ENSET, Mohammedia, Morocco
Diego López Pajares, Universidad de Alcala, Alcala de Henares, Spain
EL GUEMMAT KAMAL, ENSET Mohammedia, Morocco
Elhoussine Echchhibat, ENSET Mohammedia, Morocco
Elisa Rojas, Universidad de Alcala, Alcala de Henares, Spain
EN-NAIMANI Zakaria, ENSET Mohammedia, Morocco
Gustavo Gatica, Universidad Andres Bello
HAJJI Morad EST, Meknes, Morocco
Hanane Id-Aamer, ENCG Tangier, Abdelmalek Essadi University-Tetouan, Morocco
Hassan Ouajji, Hassan II University of Casablanca, Morocco
Hassan SAMRI, ENSET Mohammedia, Morocco
Hayat Mikrat, Hassan II University of Casablanca, Morocco
Hayat Semlali, Faculty of Sciences and Technology, Cadi Ayyad University, Morocco
Hind Fehmi, Hassan II University of Casablanca, Morocco
Ismail Essamlali, Hassan II University of Casablanca, Morocco
Issam Atouf, FSB, Hassan II University of Casablanca, Morocco
Ivan Portnoy, Universidad de la Costa, Colombia
Jamal MAWANE, ENSET Mohammedia, Morocco
Joaquín Álvarez Horcajo, Universidad de Alcala, Alcala de Henares, Spain
Kaouthar Touchanti, Sidi Mohammed Ben Abdellah University-Fez, Morocco
Khadija Bouraqia, ENSEM, Hassan II University of Casablanca, Morocco
KHIAT Azeddine, ENSET Mohammedia, Morocco
Laura Cortabarria Castañeda, Universidad de Sao Paulo , Colombia
Laurence Um, University of Douala, Cameroun
Leopoldo Eduardo Cárdenas Barrón, Tecnológico de Monterrey , Colombia
Mansour Abdeljebar, ENSAT, Abdelmalek Essaadi University-Tetouan, Morocco
Meriem Harrizi, FLSHB, University Hassan II of Casablanca, Morocco
Meryem Fakhouri Amr, University Hassan II of Casablanca, Morocco
Mohamed Bour, FSB, University Hassan II of Casablanca, Morocco
Mohamed EL KHAILI, ENSET Mohammedia, Morocco
Mohamed Talea, FSB, Hassan II University of Casablanca, Morocco
Mouhcine Elgarej, Hassan II University of Casablanca, Morocco
Muhammad Ahmad, National University of Computer & Emerging Sciences, Pakistan
Muhammad Zubair Asghar, Institute of Computing and Information Technology, Gomal University, Pakistan
Nahid Eddermoug, ENSEM Casablanca, Hassan II University of Casablanca, Morocco
NFAOUI El habib, FS Fez, Morocco
Nohora Mercado Caruso, Universidad de la costa CUC
QBADOU Mohammed, ENSET Mohammedia, Morocco
RAIHANI Abdelhadi, ENSET Mohammedia, Morocco
REBBANI Ahmed, ENSET Mohammedia, Morocco
Rihab Najem, Hassan II University of Casablanca, Morocco
RIYAMI Bouchaib, UH2 Casablanca, Morocco
Ronald Zamora, Universidad Cooperativa de Colombia
Rutvij H. Jhaveri, Department of Computer Science and Engineering, School of Technology, Pandit Deendayal Energy University, India
Saad Abouzahir, ENSEM, Hassan II University of Casablanca, Morocco
Said Zaidoune, FLSHB, University Hassan II of Casablanca, Morocco
Sara Laafar, Cadi Ayyad University-Marrakech, Morocco
Sara Laafar, University Cadi Ayyad, Marrakech, Morocco
Sara RETAL, ENSET Mohammedia, Morocco
SEMLALI AOURAGH HASSANI Naoual EMI UMV Rabat, Morocco
Soufiane HAMIDA, ENSET Mohammedia, Morocco
Thippa Reddy Gadekallu, Vellore Institute Of Technology, India
Yassine Akhiat, Faculty of Sciences Dhar Almahraz, Sidi Mohammed Ben Abdellah University-Fez, Morocco
Younes Riouali, EMI Rabat, Mohamed V University of Rabat, Morocco
Yousaf KHIAT, ENSEF BERRCHID,Morocco
Yousaf Khiat, Hassan II University of Casablanca, Morocco
YOUSSFI Mohamed, ENSET Mohammedia, Morocco
ZAMMA Abdellah, ENSET Mohammedia, Morocco
Prof. (Dr.) Daaif Jabran

Higher School of Education and Training – Berrechid
Hassan 1st University


Morocco
ICIEICT24-SSN-45: The integration of artificial intelligence in higher education:
Innovations, challenges, and opportunities



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Objectives and Motivation

This conference aims to explore the role of Artificial Intelligence (AI) in higher education, shedding light on its implications, benefits, and challenges. The main objectives are as follows:
• Examine how AI can enhance students' learning experience by offering increased personalization and adaptive teaching methods.
• Explore the potential applications of AI in student performance assessment, educational program management, and institutional decision-making.
• Discuss the ethical, social, and technical challenges associated with integrating AI into higher education.
• Provide concrete examples of successful AI integration projects and initiatives in various educational contexts.
The motivation behind this conference lies in the desire to promote a thorough understanding of the opportunities and challenges presented by the use of AI in higher education. By exploring these aspects, we seek to inspire educators, researchers, and policymakers to critically and thoughtfully adopt emerging technologies to enhance the quality and accessibility of higher education.
Scope and Interests (not limited to)
The conference will cover a wide range of topics related to the integration of AI in higher education, including:
• Enhancing student learning experience
• Personalizing education to meet individual needs
• Analyzing student performance
• Managing educational programs
• Institutional decision-making based on data
• Developing adaptive learning systems
• Automating administrative tasks
• Increasing pedagogical efficiency
• Reducing teachers' workload
• Exploring new methods of assessment and feedback

Scientific committee
• Pr. Jabran Daaif, Higher School of Education and Training – Berrechid, Hassan 1st University, Morocco
• Pr. Said Belaaouad, Faculty of Sciences Ben M'sik, Hassan II University Casablanca Morocco
• Pr. Mailka Tridane, Regional Center of Education and Training trades. Casablanca Morocco
• Pr. Mustapha Bassiri, Higher Normal School, Hassan II University Casablanca Morocco
Prof. Abdellah ZAMMA
Higher Normal School of Technical Education (ENSET)
University Hassan II of Casablanca


Morocco
ICIEICT24-SSN-46: Mechanical and Industrial Engineering


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Objectives and Motivation

Exploration of trends and advancements: Provide doctoral students with the opportunity to explore the latest trends, innovations, and advancements in the fields of mechanical and industrial engineering.
Knowledge sharing: Foster the sharing of experiences and knowledge among doctoral students, researchers, and professionals active in these fields, thus creating an environment conducive to mutual learning.
Networking: Facilitate networking opportunities by allowing doctoral students to interact with experts and peers, thereby promoting future collaborations and idea exchanges.
Access to expertise: Offer doctoral students direct access to renowned experts and professionals in the field, enabling them to learn best practices and effective strategies.
Opportunity to present research work: Provide doctoral students with the opportunity to present their own research work, receive constructive feedback, and establish their reputation within the academic community.
Collaboration opportunities: Encourage interdisciplinary and international collaborations by facilitating interactions among doctoral students from different academic backgrounds and contexts.
Broadening perspectives: Expose doctoral students to a variety of subjects and application domains in mechanical and industrial engineering, thus broadening their perspectives and career opportunities.

Topics:
• AI and Industry 4.0
• Materials science and engineering.
• Modeling, simulation, and structural calculation
• Composite and polymers,
• Non-destructive Testing,
• Metrology,
• Materials Characterization
• Corrosion
• Smart materials
• Supply chain, Transport,
• Procurement
• Lean management,
• lean 6 sigma, Lean manufacturing,
• Numerical techniques,
• Maintenance,
• Value chain,
• Storage management

The mentioned topics are just indicative and are not limited.

Scientific Committee

1. Pr M KBADOU Hassan II University of Casablanca. Morocco( ENSET Mohammedia)
2. Pr M.IDIRI Hassan II University of Casablanca. Morocco( Ben M’sik faculty of sciences)
3. Pr S JALAL Hassan II University of Casablanca. Morocco (ENSEM Casablanca)
4. Pr A RAIHANI Hassan II University of Casablanca. Morocco( ENSET Mohammedia)
5. Pr M ELKHAILI Hassan II University of Casablanca. Morocco( ENSET Mohammedia)
6. Pr L ECHHIBAT Hassan II University of Casablanca. Morocco( ENSET Mohammedia)
7. Pr.S.NAISABOURI Hassan II University of Casablanca. Morocco( ENSET Mohammedia)
8. Pr.S.ELOUARDI Hassan II University of Casablanca. Morocco( ENSET Mohammedia
9. Pr.I.BENNIS Hassan II University of Casablanca. Morocco( ENSET Mohammedia
10. Pr. EL KHAILI Hassan II University of Casablanca UH2C. Morocco
Pr. TANANE Omar
Head of Technology

Innovation Support Center TISC - International Expert on Patent and I.P - Editor in Chief of REINNOVA Revue Morocco


Morocco
ICIEICT24-SSN-47: Innovation Technology and Entrepreneurship


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Objectives and Motivation

The development of Innovation and Entrepreneurship also takes on important values in teaching practices and in the valorization of scientific research, our purpose in this special edition is: To critically examine innovations and all kinds of solutions technology or patents filed by academic or private researchers; To promote the emergence, development and dissemination of research in the field of Pedagogy with entrepreneurial value; Contribute to enrich the body of knowledge of technological innovations and patent production; Strengthen the Entrepreneurial spirit among our students; Develop Innovation and Patent Production; Valorize research results; Establish channels for communication and media coverage of scientific and technological information; Contribute to the development of Innovation and Entrepreneurship in all its aspects. The objectives of this the special session are:
• Identify best practices that can best serve as models (best practices);
• Support innovation and entrepreneurship by university graduates;
• Create a space for exchanges between researchers, teachers, entrepreneurship educators, trainers, managers and others interested in entrepreneurship issues;
• To inform on the state of research and training in the field the valorization of research and Entrepreneurship.
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Scope and Interests (not limited to)

The new university's missions today must be focused on creating within its walls the ecosystem conducive to the emergence of innovative ideas, creating added values and vectors of economic growth.
All the actors in the creation of companies must work together on a single objective to build a chain of support to support the young entrepreneur since the idea sprouts in its head then its development by way of the financing and completion of its project.
It is a reason that the topics of interest include, but are not limited to the following:
• innovation and technological solutions
• pedagogy with entrepreneurial values
• Articles proposing innovations to solve a technical problem or having the subject of a Patent filing.
• Valorization of the results of the research
• Licensing and licensing by companies.
• Spin-off by process of detection and incubation of innovative projects resulting from a research activity.

Scientific committee
1. Pr. O. TANANE Hassan II University of Casablanca. Morocco
2. Pr. C. MARRAKCHI Hassan II University of Casablanca. Morocco
3. Pr. A. KETTANI Hassan II University of Casablanca. Morocco
4. Pr. F. BELMIR Sidi Mohamed Ben Abdillah University of Fes. Morocco
5. Pr. F. ACHOUR Ibno Toufail University of Kenitra. Morocco
6. Pr. B. IBN KHALDOUN Mohamed V University of Rabat. Morocco,
7. Pr. A. EL BOUARI Hassan II University of Casablanca. Morocco.
8. Pr. Y. ABBOUD Hassan II University of Casablanca. Morocco.
Dr. Babul Salam KSM Kader Ibrahim

Associate Professor
Department of Electrical and Computer Engineering
College of Engineering and Architecture
Gulf University for Science & Technology
Mubarak Al-Abdullah, Hawally

Kuwait
ICIEICT24-SSN-48: Advancements in Robotics and Control Systems for Sustainable Development Goals


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Objectives and Motivation

In alignment with the United Nations Sustainable Development Goals (SDGs), this special session aims to explore how advancements in Robotics and Control Systems contribute to addressing global challenges and achieving sustainable development objectives. Robotics and Control Systems play a crucial role in promoting economic growth, environmental sustainability, and social well-being, thereby advancing the SDGs.
The objectives of this special session are:
• To showcase innovative research and technological advancements in Robotics and Control Systems that contribute to achieving specific SDGs.
• To foster interdisciplinary collaboration and knowledge exchange among researchers, practitioners, and policymakers working towards sustainable development.
• To identify challenges and opportunities in the application of Robotics and Control Systems for addressing sustainable development goals.
• To promote the adoption of robotics and automation technologies as enablers of sustainable practices in various sectors, including agriculture, healthcare, infrastructure, and transportation.
This Special Session invites contributions that demonstrate the potential of Robotics and Control Systems to support the achievement of SDGs, with a particular focus on real-world applications and case studies. Join us in exploring how Robotics and Control Systems can contribute to building a more sustainable and resilient future for all, in line with the SDGs.

Scope and Interests (not limited to)

• Robotics for Sustainable Agriculture and Food Security
• Autonomous Systems for Environmental Monitoring and Conservation
• Smart Cities and Sustainable Urban Development
• Robotics and Automation in Healthcare for Universal Health Coverage
• Disaster Response and Resilience through Robotics
• Ethical and Social Implications of Robotics and AI in Sustainable Development
• Education and Capacity Building in Robotics for Sustainable Development
• Humanitarian Robotics for Crisis Response and Humanitarian Aid
• Robotics and Control Systems for Sustainable Energy Production and Management
• Robotics Applications in Water Resource Management and Conservation
• Robotics for Climate Change Mitigation and Adaptation Strategies
• Socially Assistive Robotics for Elderly Care and Inclusive Communities
• Robotic Solutions for Sustainable Transportation and Mobility
• Human-Robot Collaboration for Sustainable Manufacturing and Industry



Pr. Mustapha JAMMOUKH

Electrical enginneering and intelligent systems laboratory Normal Superior School of Technical Education

Dr. Hamza ENNADAFY.

Signals, Distributed Systems and Artificial Intelligence Laboratory (SSDIA), Normal Superior School of Technical Education

University of Hassan II, Casablanca

Morocco
ICIEICT24-SSN-49: Sustainable Development and Industrial Technology


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Objectives and Motivation

The session "Sustainable Development and Industrial Technology" serves as a catalyst for interdisciplinary collaboration and the advancement of scientific research in critical domains intersecting sustainability, AI, technology, and industry. Positioned at the forefront of tackling urgent global challenges, this session offers a dynamic platform for scientists, PhD students, and experts to showcase their latest discoveries and engage in meaningful discourse. Embracing a comprehensive approach that integrates sustainable development, quality management, and the utilization of artificial intelligence in industrial processes, participants will explore innovative solutions geared towards fostering environmental preservation and technological progress.
Leveraging the diverse expertise across AI, mechanical engineering, materials science, electrical engineering, Supply Chain, smart industry, and applied physics, this session provides a holistic perspective on sustainable development and industrial technology. Presentations will delve into diverse topics ranging from renewable energy systems and advanced materials characterization to smart grid architectures and energy-efficient manufacturing processes. By fostering dialogue and collaboration across disciplinary boundaries, the session seeks to spur the emergence of novel methodologies and technologies to confront the multifaceted challenges confronting contemporary society.
Participation in this session represents an invaluable opportunity for researchers to disseminate their groundbreaking research, exchange insights with peers from diverse backgrounds, and cultivate partnerships that transcend conventional disciplinary confines. Whether through poster presentations, oral sessions, or networking engagements, attendees will play a pivotal role in advancing the frontier of knowledge in sustainable development and industrial technology, driving transformative change towards a future characterized by sustainability and technological innovation.
Scope and Interests (not limited to)
Submissions for this special session should address, but are not limited to, the following or related topics:
Sustainability and Artificial Intelligence:
• Sustainable Development and Quality Management;
• AI Applications for Industrial Process Optimization;
• Engineering of Sustainable Products;
• Solar Energy, Wind Energy, Biomass, and Alternative Energies;
• Environmental Engineering;
Mechanical Engineering and Materials:
• Mechanical Engineering;
• Materials and Composite Materials Engineering;
• Applied Mechanical Engineering;
• Fatigue and Creep Behavior of Advanced Materials;
• Mechanical Failure Behavior, Friction, and Wear;
• Advanced Material Characterization;
• Vibration and Control of Mechanical Systems;
• High-Temperature Corrosion, Oxidation, Wear, and Erosion;
• Analysis and Simulation of Manufacturing Processes.
Electrical and Electronic Engineering:
• Electrical, Communication, and Electronic Engineering;
• Robotics and Automated Systems;
• e-Mobility;
• Smart Grid and Microgrid Architectures and Models;
• Electrical and Hybrid Vehicle Monitoring and Control;
• Energy Storage Batteries: Modeling, Control, Monitoring, Fast Charging, Grid Integration;
Applied Physics and Simulation:
• Applied Physics;
• Computing and Simulation Applications in Physics;
• Modeling, Simulation, and Control of Technological Processes;
• Mathematical and Numerical Methods in Simulation & Modeling for Physics;
• Simulation of Physical Systems;
Supply Chain and Logistics:
• Supply Chain Management;
• Transportation and Distribution;
• Information and Communication Technologies;
• Industry 4.0;
• Industrial Engineering and Production Management;
• Energy Efficiency and Energy Economics;
• Energy Transition Strategies.
Scientific committee
• Pr. Mustapha JAMMOUKH, Hassan II University of Casablanca UH2C. Morocco.
• Dr. Hamza ENNADAFY, Hassan II University of Casablanca UH2C. Morocco.
• Pr. Mohamed BELAFHAILI, Hassan II University of Casablanca UH2C. Morocco.
• Pr. Khalifa MANSOURI, Hassan II University of Casablanca UH2C. Morocco.
• Pr. Mohammed YOUSSFI., Hassan II University of Casablanca UH2C. Morocco.
• Pr. Mohammed QBADOU. Hassan II University of Casablanca UH2C. Morocco.
• Pr. Salah NISSABOURI, Hassan II University of Casablanca UH2C. Morocco.
• Pr. Lhousssain BAHATTI, Hassan II University of Casablanca UH2C. Morocco.
• Pr. Abdelhadi RAIHANI, Hassan II University of Casablanca UH2C. Morocco.
• Pr. Said BELAAOUAD, Hassan II University of Casablanca UH2C. Morocco.
• Pr. Benaissa KISSI, Hassan II University of Casablanca UH2C. Morocco.
• Pr. Youssef HILALI., Hassan I, University of Settat UH1S. Morocco.
• Pr. Abdelilah HACHIM. Ministère de l’Equipement, du Transport, de la Logistique et de l’Eau.
Dr. Lahouari Ghouti

Associate Professor – Computer Science Department
College of Computer and Inormation Sciences, Prince Sultan University
Riyadh

Kingdom of Saudi Arabia (KSA)
ICIEICT24-SSN-50: Arabic Large Language Models: Developments and Challenges


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Objectives and Motivation

Over the past decade, significant advancements have been made in the field of natural language processing (NLP) through the development and application of neural-based large language models (LLMs). While such models have predominantly utilized English datasets and focused on English use cases, there is now growing research and industry interest in customizing these powerful frameworks for other languages. This special session will provide a technical forum for researchers and practitioners to discuss the state-of-the-art in Arabic-based NLP technologies and Arabic language models (ALMs), with a focus on large pre-trained models and their role in addressing certain unique linguistic and sociocultural challenges inherent to the Arabic language and regions where it is spoken. Specific objectives include presenting recent work in areas such as Arabic entity representation, named entity recognition, machine translation to and from Arabic under low-resource conditions, and mitigating data and algorithmic biases during model induction. The session aims to facilitate collaboration and knowledge-sharing around best practices for collecting, annotating, and leveraging large Arabic datasets to advance both basic sciences concerning Computational Arabic Linguistics as well as its practical, socially-beneficial applications.
Scope and Interests (not limited to)
• Recent advances in pre-trained contextual ALM architectures such as AraBERT, ArGPT, AraGPT, etc. and performance on downstream tasks
• Challenges of training very large ALMs on limited Arabic corpora and approaches to alleviate data scarcity
• Multilingual ALMs incorporating Arabic and their effectiveness for cross-lingual transfer
• Design aspects and performance enhancements of Arabic-based tokenizers
• Applications of ALMs to Arabic dialect identification, normalization and code-switching
• Mitigating gender, ethnic and religious biases in ALM training through data selection and debiasing techniques
• Generation and applications of large Arabic knowledge bases for named entity linking and relation extraction
• ALM-powered machine translation of and to Arabic, especially under low-resource conditions
• Improving Arabic morphological analysis and generation through contextual ALM encoders
• Summarization and text simplification of Arabic documents leveraging transformer-based ALMs
• Causal inference and narrative reasoning on Arabic texts using pre-trained transformer models
• User and context-aware Arabic natural language generation with large language models
• Standardization and benchmarks for evaluating ALM performance on semantic tasks
• Legal and ethical considerations around deployment of ALMs in Arabic speaking regions
• Opportunities and challenges for industrial applications of ALMs such as virtual assistants and education
• Sustainability of large-scale ALM research through community building efforts and open-sourcing initiatives

Pr. Benaissa KISSI

Structural Engineering, Processes, Intelligent Systems, and Computing laboratory
National School of Arts and Crafts of Casablanca
University of Hassan II, Casablanca

Pr. Mustapha JAMMOUKH
Electrical enginneering and intelligent systems laboratory
Normal Superior School of Technical Education.
University of Hassan II, Casablanca

Morocco

ICIEICT24-SSN-51: Innovative Material and Civil Engineering


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Objectives and Motivation

The objectives and motivation of the conference on "Innovative Material and Civil Engineering" aim to:
Foster Collaboration: Bring together researchers, engineers, and practitioners from various disciplines to exchange ideas, share research findings, and collaborate on innovative solutions in the field of civil engineering and materials science.
Promote Innovation: Provide a platform for showcasing the latest advancements, technologies, and methodologies in the development and application of innovative materials and civil engineering practices.
Address Challenges: Discuss and address the current challenges and emerging issues faced in civil engineering and materials science, such as sustainability, resilience, and durability of infrastructure.
Explore Opportunities: Explore new opportunities, trends, and future directions in the field, including the integration of emerging technologies, sustainable materials, and digital solutions in civil engineering projects.
Encourage Networking: Facilitate networking opportunities among participants to establish collaborations, build partnerships, and foster interdisciplinary research approaches.
Disseminate Knowledge: Disseminate knowledge, best practices, and research outcomes through presentations, workshops, and discussions to contribute to the advancement of the field and promote knowledge sharing among the scientific community. Overall, the conference aims to inspire innovation, collaboration, and knowledge exchange to address the evolving challenges and opportunities in the realm of civil engineering and materials science.
Scope and Interests (not limited to)
Submissions for this special session should address, but are not limited to, the following or related topics:
• Civil engineering
• Structural behavior
• Infrastructure engineering
• Innovative construction materials
• Seismic construction
• Energy systems and energy efficiency
• Hydrology and flood risks
• Identification of new bio-resources
• Environmentally friendly materials and processes
• New materials for transportation infrastructure
• Building and environmental acoustics
• Building durability
• Rehabilitation of reinforced concrete structures
• Fluid/structure interaction

Scientific committee
1. Pr. Benaissa KISSI, Hassan II University of Casablanca UH2C. Morocco.
2. Pr. Mustapha JAMMOUKH, Hassan II University of Casablanca UH2C. Morocco.
3. Pr. Hamza KHATIB, Hassan II University of Casablanca UH2C. Morocco.
4. Dr. Mariem KACEM-BOUREAU, National School of Engineering of Saint-Étienne, France
5. Dr. Lola Rubio Cintas. University of Cadiz, Spain
6. Dr. Miguel ANGEL PARRON. University of Cadiz, Spain
7. Pr. Zhour MADINI, Ibn Tofail University, Morocco.
8. Pr. Miloud RAHMOUNE, Moulay Ismaïl University, Morocco.
9. Pr. Chafik GUEMIMI , Hassan II University of Casablanca UH2C. Morocco.
10. Pr. Ali EL KEBCH , Hassan II University of Casablanca UH2C. Morocco.
11. Pr. Hassan AAYA, International University of Casablanca. Morocco.
12. Pr. Rabie EL OTMANI, Chouaib Doukkali University, El Jadida. Morocco
13. Pr. Rachad Oulad Ben Zarouala , Abdelmalek Essaâdi University , Morocco.
14. Pr. Othmane BENHAMMOUCH, International University of Casablanca. Morocco.
15. Pr. Ibrahim MRANI, Chouaib Doukkali University, El Jadida. Morocco

Prof. Youssef LGHAZI
Prof. Mounir BELBAHLOUL

Physics-Chemistry Department
Normal High School Casablanca (ENSC)
Hassan II university of Casablanca


Morocco

ICIEICT24-SSN-52: Electrochemical characterization and synthesis of new materials intended for energy storage and the environment


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Objectives and Motivation

Electrochemical deposition, which has most recently been successfully used to fabricate a variety of parts for energy conversion and storage systems, is a common technique for characterizing and creating materials and devices.
The most recent developments in thin-film and nanostructure electrolytic and electroless growth, including principles, techniques, and applications, are covered in this symposium. We are looking for submissions regarding the use of electrochemical deposition in the fields of electronics, biomedical, environment sciences, energy conversion, and energy storage.
Studying the performance of these materials and their use as battery or supercapacitor electrode materials is made feasible by their electrochemical characterization by cyclic voltammetry and the galvanostatic charge discharge method.
Kindly review and discuss the most recent advancements and provide suggestions for future work.
Scope and Interests (not limited to)
We welcome original contributions from the following fields, among others:

• Electrochemical synthesis of oxides, alloys, semiconductors, and polymer.
• Electrodeposition of alloys: Under-potential co-deposition, anomalous co-deposition;
• Emerging and nanostructured materials for photovoltaics, (photo-)electrochemical conversion, electrocatalysis, hydrogen fuel, CO2 capture, energy storage, batteries, supercapacitors and fuel cells.
• New inhibitors for corrosion devices and modeling.
• Materials for batteries and supercapacitor electrodes: synthesis and characterization.
• Investigation of thin films electrodeposition mechanism.

Scientific committee

• Pr Mounir BELBAHLOUL, Hassan II University of Casablanca, Morocco
• Pr. Boubaker YOUBI, Hassan II University of Casablanca, Morocco
• Pr. Belaaouad Said, Hassan II University of Casablanca, Morocco
• Pr. Aziz AYNAOU, Hassan II University of Casablanca, Morocco
• Pr. Lhou MAJIDI, Mohammed V University of Rabat, Morocco
• Pr. Mohammed AIT HIMI, Hassan II University of Casablanca, Morocco
• Pr. Mohamed Marouane ELHAMMOUMI, Hassan II University of Casablanca, Morocco
• Pr. Mohamed CHAFI, Hassan II University of Casablanca, Morocco
• Pr. Saad Alami YOUNSSI, Hassan II University of Casablanca, Morocco
• Pr. Youssef LGHAZI, Hassan II University of Casablanca, Morocco.
Prof. (Dr.) Tribak Abdelwahed

INPT of Rabat

Prof. (Dr.) Terhzaz Jaouad

CRMEF-CS of Casablanca


Morocco
ICIEICT24-SSN-53: Communication Systems and Signal Processing


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Objectives and Motivation

Due to the increased needs of data transmission that requires an increase in the capacity of ground and satellites communications, and thanks to the development of technologies involved in ground segment communications as in space, born many innovation initiatives focused on providing solutions to provide the services that society demands.
Many of the initiatives involve developing new technologies in frequency bands not used for these services before such as Q/V/W-band, as also proposed by developments on the ground segment to perform optical links with geostationary orbit (GEO) satellites and reach the terabit of transmission. On the other hand, the European Space Agency announced the dedication of resources to the development of mega-constellations as one of the greatest technological challenges in the current telecommunications business.
This has an impact in the areas of development of communications systems to promote research and innovation in issues with the ground segment and the space, and the development of new concepts in early stages of mission analysis.
The aim of this session is to bring together researchers in these areas, establishing a forum for discussion on recent developments, which serve as a platform of meeting to generate links and future collaborations enhancing the development of this area of business and R&D.
Scope and Interests
In the presented framework, the topics of interest are as follows:
• Statistical signal processing and compressive sensing
• Signal processing for IoT and Big Data
• Interference management for modern communication systems
• IoT and IA solutions Control of electrical machines and power electronics converters
• Beyond 5G and 6G
• 5G physical layer
• Smart antennas, Antenna propagation, MIMO Antenna
• Materials Characterization in microwave.
• Satellite communication and systems
• Future communications systems, satellites architectures, and constellations platforms
• Radar target detection, localization and tracking
• Trends in THz communications
• RF components and systems
• RFID, sensors and SDR systems
• Design, simulation and performance evaluation
• Energy harvesting in wireless systems.
• Radio localization and positioning.

Scientific committee

• Pr. Tomas Fernandez, Cantabira University, Spain
• Pr. Juan Luis Cano, Cantabira University, Spain
• Pr. Larbi Setti, Abdelmalek Essaadi University, Morocco
• Pr. Abdelmajid Farchi, Hassan I University, Settat, Morocco
• Pr. Mohamed Et-tolba, INPT,Rabat, Morocco
• Pr. adnane addaim, EMI, Rabat, Morocco
• Pr. Amed Mouhcine, FST, Settat, Hassan I University, Morocco
• Pr. Mohamed Touzari, Hassan I University, Settat, Morocco
• Pr. Soufian Lakrit, Mohammed Premier University, Oujda, Morocco
• Pr. Naima Amar Touhami, Abdelmalek Essaadi University,,Morocco
• Pr. Lahcen Ait Ben Ali, CRMEF-CS, Morocco
• Dr. Brahim Fady, OCP Group, Industrial Digitalization, Casablanca, Morocco
• Pr. Asmae Mimouni, AlImam Mohammad Ibn Saud Islamic University (IMSIU), Saudi Arabia
• Dr. Hafid Tizyi, INPT, Rabat, Morocco
• Pr. Adel Deraoui, CRMEF-CS, Settat, Morocco
• Pr. Anass Mamouni, Abdelmalek Essaadi University, Morocco
• Dr. Hicham Setti, Abdelmalek Essaadi University, Morocco
• Pr. Abdelwahed Tribak, INPT, Rabat, Morocco
• Pr. Jaouad Terhzaz, CRMEF-CS, Casablanca, Morocco
Prof. (Dr.) Mohamed Merouane El Hammoumi

Chemistry and Physics department
Bio-Geosciences and Material Engineering Laboratory,
Ecole Normale Superieure,
Hassan II University,
Casablanca


Morocco
ICIEICT24-SSN-54: Experimental Chemistry, Computational and Theoretical Chemistry, Therapeutic and Pharmaceutical Chemistry.


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Objectives and Motivation

This session’s objective is part of a major effort to federate all the actors involved in the research and development of chemical reactions, either by experimental or theoretical means applied to the knowledge and development of these chemical reactions, which have energetic properties, and which can lead to biologically active compounds of therapeutic and pharmaceutical interest, etc.
We base ourselves on experimental methods, computational physical and theoretical studies as well as on the therapeutic and medicinal effects of the substances obtained: taking into account the current and future challenges of the great demands of new compounds with a great biologically active interest valid for sustainable development approaches.
This international conference will, therefore, allow stakeholders (the scientific community and industry) not only to highlight the experimental synthesis-activity system of the products obtained, which are linked to the formation of new products of great biological interest, but also to take stock of the latest advances in chemical sciences and their fields of application.
The objective would be to bring together multidisciplinary scholars and potentialities. It is an opportunity to create a large space for exchanges and reflections involving researchers from various scientific fields: chemistry, biology, pharmaceuticals, medicinal energy and thermal studies, sustainable development, etc.
Scope and Interests (not limited to)
The main objective of the session "Experimental Chemistry, Computational and Theoretical Chemistry, Therapeutic and Pharmaceutical Chemistry" is to share, discuss and exchange the latest research: experimental, theoretical and structure-activities of the various compounds obtained for the construction of new products of biological interest..
Authors are invited to submit original research papers that propose new methodologies, approaches and research directions, covering a variety of topics in the fields of experimental chemistry science and theoretical studies of the different products obtained and their activity-structure relationships.
Submissions for this special session should address, but are not limited to, the following or related topics:
• Synthesis and processing
• Natural product reactivity and synthesis
• Computational and theoretical chemistry
• Polymer Areas of Interest
• Environmental aspects of chemical processing technologies
• Innovative recycling technologies
• Heterogeneous and homogeneous catalysis
• Technical / technology of treatment and characterization of chemistry products
• Chemical biological relationships: structure-activity relationships,
• Investigations of biochemical and pharmacological targets of drug action,
• Correlations of chemistry structure with mode of action.


Scientific committee
• Pr. Mohamed Merouane El Hammoumi, Ecole Normale Superieure, Hassan II University,Casablanca, Morocco
• Pr. Abdelhadi El Bachiri, Ecole Normale Superieure, Hassan II University,Casablanca, Morocco
• Pr. Youssef Lghazi, Ecole Normale Superieure, Hassan II University,Casablanca, Morocco
• Pr. Mounir Belbehloul, Ecole Normale Superieure, Hassan II University,Casablanca, Morocco
• Pr Fatima Zahra Krimech, Ecole Normale Superieure, Hassan II University,Casablanca, Morocco
Prof. (Dr.) Mohamed AZEROUAL

Researcher in Economics,
Laboratory of Economics and Management, Polydisciplinary Faculty Khouribga
National School of Applied Sciences (ENSA) - Khouribga
Sultan Moulay Slimane University


Morocco
ICIEICT24-SSN-55: Innovation, Technology Transfer, and Skills Development


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Objectives and Motivation

This session aims to understand and leverage the key trends shaping the national and international economic landscape. It focuses on the growing role of artificial intelligence and digitization in organizational management, as well as entrepreneurship and innovation as drivers of growth. International technology transfers and diaspora networks are channels for knowledge exchange and economic development to explore. Additionally, emphasis is placed on the various sources of funding available for innovation, as well as public policies aimed at developing skills and promoting entrepreneurship across various sectors of the economy.
Scope and Interests (not limited to)
Submissions for this special session should address, but are not limited to, the following or related topics:
• Role of artificial intelligence and digitization in organizational management
• Entrepreneurship and innovation
• International technology transfers
• Diaspora networks and knowledge transfers
• Sources of funding for innovation and economic growth
• Public strategies for skills development
• Public policies and promotion of entrepreneurship
• Industrial strategies and innovation


Scientific committee
• Pr. Mohamed AZEROUAL, Sultan Moulay Slimane University, Morocco
• Pr. Imane AHDIL, Sultan Moulay Slimane University, Morocco
• Pr. Abdelilah YASSINE, Sultan Moulay Slimane University, Morocco
• Pr. Mounia CHAHBOUNE, Sultan Moulay Slimane University, Morocco
• Pr. Nor-eddine OUMANSOUR, Mohammed V University, Morocco
• Pr. Hicham BADDI, Mohammed V University, Morocco
• Pr. Majda CHAHIR, National Institute of Social Action, Morocco
• Pr. Aziz BENSBAHOU, Ibn Tofail University, Morocco
• Pr. Said ASSAL, Ibn Tofail University, Morocco
• Pr. Zidane Moukite, Hassan First University, Morocco
• Pr. Amal El Mallouli, Hassan First University, Morocco

Dr. Arif M Ansari

Professor- Data Science and Operations Department
Marshall School of Business, University of Southern California
Los Angeles, California,

USA
ICIEICT24-SSN-56: Emerging Business Applications using AI, Machine Learning and Analytics


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Objectives and Motivation

AI has become the hottest topic among researches, companies and general public with the advent of Open AI and similar platforms, the opportunities arising from GenAI are very promising. They improving competitiveness and innovation in industry and will transform society and the economy.
AI is one of the most important technologies showing substantial amount of improvement to today’s business organizations and new revenue generating opportunities. It can be applied at various business operations and other technologies.
This session covers a large number of topics in AI and Business application. This Special session aims to brings together eminent international academic scientists, young researchers, and students making the congress a perfect platform to share experience, gain and evaluate emerging AI technologies in Business from research to implementation across the globe.

Scope and Interests (not limited to)
• Business Application of AI and Big Data Analytics
• AI based Image and video Processing for Business Application and Content Creation
• Business process enhancement using AI and Internet of Things
• Business Enhancement using Robotics and Artificial Intelligence
• Intelligent System and Human Computer Interaction
• Emerging Business Application using AI, Machine Learning, Reinforcement Learning and Analytics
• Multi-model methodology to solve ill-defined or semi-defined or well-defined business problems
• AI-enabled Smart Cities and Urban Planning
• Personalization and Recommendation Systems in E-commerce Using AI
• AI-powered IoT Sensors for Predictive Maintenance
• Cloud Computing and AI for Scalable Data Processing
• Generative AI – Supply and Demand from Content Creation perspective
Prof. (Dr.) Abdelhadi EL BACHIRI

Physics-Chemistry department
Bio-Geosciences and Material Engineering Laboratory (LBGIM)
Higher Normal School
Hassan II University Casablanca

Morocco

ICIEICT24-SSN-57: Advanced Materials and Energy


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Objectives and Motivation

The objective of this specialized session is part of a significant endeavor to unite all stakeholders involved in researching and developing innovative materials. These materials are applied to enhance our understanding and contribute to their development, showcasing properties such as energy efficiency dielectric and magnetism. The guiding principles of materials science include comprehension, knowledge preservation, restoration, and innovation.
The two pivotal aspects—Materials, Energy—are crucial themes, especially considering the current and future challenges related to energy and technology transitions within sustainable development frameworks (including eco-friendly materials and sustainable construction).
This international conference aims not only to illuminate the connections between Energy-Technology themes and the construction of innovative materials but also to assess the latest advancements. Scientists specializing
in material sciences and their diverse applications will participate.
The overarching goal is to foster collaboration across disciplines, creating a rich space for exchanges and reflections. Researchers from various scientific fields, will come together."

Scope and Interests
The primary aim of the "Advanced Materials and Energy" session is to share, discuss, and exchange the latest theoretical and practical research related to the development of innovative materials.
We invite authors to submit original research papers that introduce new methodologies, approaches, and research directions. These papers should cover a range of topics within the fields of Materials Science, particularly as they pertain to technical processes and technological or environmental sciences.
Submissions for this special session should address, but are not limited to, the following or related topics:
• Nanomaterials
• Materials chemistry and physics
• Synthesis and processing
• Polymer and composite materials
• Solar Energy
• The science of materials
• Materials for energy
• Materials Engineering
• Renewable Materials and Energies
• Energy Storage
• Photovoltaic
• Technical / technology of treatment and characterization of Materials.
• Choice of Materials / Eco-friendly Building Materials / Design / Development Processes / Lifespan.
• Composite Materials.

Scientific committee
• Pr. Abdelhadi EL BACHIRI, Higher Normal School, Hassan II University Casablanca Morocco
• Pr. Mohemmed Marouane EL HAMMOUMI, Higher Normal School, Hassan II University Casablanca Morocco
• Pr. Abdelkarim OUKARROUM, Higher Normal School, Hassan II University Casablanca Morocco
• Pr. Fatima Zahra KRIMECH, Higher Normal School, Hassan II University Casablanca Morocco
• Pr. Ahmed LOUARDI, Faculty of Sciences and Techniques, Sidi Mohamed Ben Abdellah University, Fez, Morocco
• Pr. Brahim FAKRACH, Faculty of Sciences - Moulay Ismail University Meknes Morocco
• Pr. Mohamed TAHIRI, ENSA Khribgha, Sultan Moulay Sliman University Khribgha Morocco

Prof. Passent Elkafrawy

AI Professor- Computer Science Department
Effat College of Engineering, Effat University
Jeddah

Saudi Arabia
ICIEICT24-SSN-58: Secure and Explainable AI


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Objectives and Motivation

The integration of secure artificial intelligence (AI) for applications using multimodal data with explainable machine learning techniques marks a pivotal advancement in healthcare, e-Finance, and others in the current era. This expanding field holds immense promise to improve annalistic accuracy and ultimately improve outcomes. For example, in medical diagnosis using diverse data types, including radiology, pathology, genomics, proteomics, and clinical records, AI algorithms have demonstrated the ability to extract and fuse relevant information to enhance disease detection and treatment.
Deep learning models such as graph neural networks (GNNs) and transformers are the most suitable techniques that can provide comprehensive insights to profile the different classes. By aiding pathologists in making accurate diagnoses and predicting treatment outcomes, these advanced AI systems have the potential to mitigate the physical, financial, and emotional toll associated with cancer treatments. However, the realization of this potential is contingent on addressing critical challenges such as data quality, interpretability, and algorithm robustness. As such, fostering ongoing research and collaboration between field experts, researchers, and AI engineers is imperative to overcome these barriers and usher in a new era of personalized medical (or any other field) outcomes.

Scope and Interests (not limited to)
• Explainable Deep Learning
• Machine Unlearning
• Explainable Medical Diagnosis
• Secure Generative Models
• Machine Learning and Intelligent Systems
• Secure Knowledge Representation and Acquisition
• Secure Explainable AIs