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

Co-chair

Hassan II University of Casablanca

Casablanca, Morocco

Technical Program Committee

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-7: 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-9: 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-10: 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-11: 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-12: 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-13: 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-14: 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-15: 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-16: 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-17: 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-18: 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-19: 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-20: 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-21: 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-22: 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-23: 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-24: 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-25: 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-26: 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-27: 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

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-7: 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-9: 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-10: 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-11: 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-12: 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-13: 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-14: 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-15: 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-16: 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-17: 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-18: 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-19: 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-20: 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-21: 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-22: 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-23: 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-24: 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-25: 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-26: 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-27: 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