Conference Details

About the Conference

The 2026 International Conference on Innovation of Emerging Communication and Information Technology (ICIEICT’ 2026) is devoted to communication, computer science, electrical and electronics engineering, telecommunication engineering and information technology that will take place from December 4 -7, 2026 in Athens, Greess. ICIEICT’2026 is intended to provide a forum for research scientists, engineers, educators, and practitioners throughout the world to learn, share knowledge, publish, and disseminate the most recent innovations and developments, ideas, and applications in all fields of science, technology and information technology. ICIEICT’2026 will feature keynote addresses by eminent scientists , professors and engineers.

The focus of the 2026 International Conference on Innovation of Emerging Communication and Information Technology (ICIEICT’2026) revolves around communication, computer science, electrical and electronics engineering, telecommunication engineering, and information technology. The conference encompasses diverse topics within the field, such as computer science and engineering, computer networks and cloud computing, cybersecurity and privacy, robotics, cyber-physical systems, Internet of Things (IoT), artificial intelligence, machine learning, deep learning, big data analytics, augmented reality/virtual reality/mixed reality (AR/VR/MR), metaverse, and the social and ethical issues associated with information and communication technology (ICT).

A unique feature of ICIEICT2026 is the opportunity for authors to publish a paper in a peer-reviewed journal. ICIEICT2026 offers a fast publication schedule whilst maintaining rigorous peer review; all articles must be submitted online, and peer review is managed fully electronically via the Microsoft CMT system. Papers submitted to ICIEICT2026 undergo a regular ICIEICT2026 and peer-reviewed journal review. This conference provides dedicated tracks with identified journals that expedite the process of publication. Papers sent to this conference should have the same academic level and quality as those sent to journals. ICIEICT2026 is committed to the principle that all participants shall have equal access to programs, facilities, services, and employment without regard to personal characteristics not related to ability, performance, or qualifications.

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
Dr. Rasha HasanLiwa CollegeUnited Arab of Emirates (UAE)
Dr. Manal K. FattoumBeirut Arab University Lebanon
Dr. Rasha M. Abou SamraDamietta UniversityEgypt
Prof. Jihad QaddourIllinois State UniversityUSA
Prof. Khaled R Ahmed Southern Illinois UniversityUSA

Keynote Speakers

TBD

 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


ICIEICT26-SSN-1: 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
ICIEICT26-SSN-2: 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
ICIEICT26-SSN-3: 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
ICIEICT26-SSN-4: 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

Dr. Rasha M. Abou Samra

Assistant Professor of Remote Sensing and GIS - Faculty of Science- Damietta University

Egypt
ICIEICT25-SSN-5: 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.

Information and communication technologies (ICTs) are considered enablers of the 2030 Agenda for Sustainable Development. Their application and diffusion in all sectors provide new solutions to overcome development challenges. This special session aims to bring academic scientists, researchers, and industry experts together to exchange and share their experiences and research results on all aspects of ICT. The conference provides a premier platform for encouraging young researchers and educators to present and discuss the most innovative ideas and research findings, as well as challenges encountered and solutions adopted in the fields of ICT.


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
• Network Security and Wireless Communication
• Software Development Methodologies
• Cloud Applications
• Big Data Analysis
• Image processing
• E-Learning Technologies
• Educational Data Mining
• Emerging Technologies in Smart Cities
• Internet of Things (IoT)
• Wearable Technologies
• Online Learning Platforms
• Mobile/cloud computing
• Location-based monitoring






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
ICEICT26-SSN-6: 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. 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
ICIEICT26-SSN-7: 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. Zelalem Mengistu

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

USA
ICIEICT26-SSN-8: 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. 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
ICIEICT26-SSN-9: 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






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
ICIEICT26-SSN-10: 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.) Belaaouad Said

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




Morocco
ICIEICT26-SSN-11: 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
Dr. Arif M Ansari

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

USA
ICIEICT26-SSN-12: 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
Dr. Fairouz Zendaoui

Laboratoire de Recherche en TIC,
Ecole Nationale Supérieure des TIC et de la Poste (ENSTICP), Algiers, Algeria.
ICIEICT26-SSN-13: Building, Scaling and Securing Modern Cloud Infrastructure Systems


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Objectives and Motivation

Cloud computing is a cornerstone of modern digital ecosystems, enabling scalable, resilient, and intelligent infrastructures for data-driven and distributed applications. Current trends such as cloud-native architectures, hybrid and multi-cloud systems, edge-to-cloud continuum, and AI-driven automation are redefining infrastructure design, operation, and optimization.
This special session brings together researchers, PhD students, industry professionals, and practitioners to share advances, research results, and practical experiences in cloud technologies. It welcomes theoretical contributions and industrial applications addressing next-generation cloud systems, with a focus on intelligent, autonomous, and sustainable infrastructures. The session encourages research on AI-enabled cloud operations, self-managing systems, observability-driven platforms, and energy-efficient cloud computing, fostering collaboration between academia and industry.

Scope and Interests (not limited to)

• Virtualization, Cloud Resource Management, and Cloud-Native Infrastructures.
• Intelligent Distributed Systems, Cloud Networking, and Edge–Cloud/Hybrid–Multi-Cloud Computing.
• Scalable Cloud Storage and Data Platforms.
• AI-Driven Cloud Automation, DevOps, and Platform Engineering.
• Cloud Security, Reliability, Observability, Autonomous Operations, and Sustainable Cloud Infrastructures.
Dr. Shalini Gambhir
Department of Artificial Intelligence and Data Science
Vivekananda Institute of Professional Studies – Technical Campus (VIPS-TC), Delhi

India
ICIEICT26-SSN-14: Artificial Intelligence, Data Science, and Intelligent ICT Systems


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Objectives and Motivation

With the rapid advancement of Artificial Intelligence (AI), Data Science, and Intelligent Information Systems, Information and Communication Technology (ICT) has become a key driver of innovation across industries, healthcare, smart cities, and sustainable infrastructure. The integration of AI with ICT is transforming how data is processed, decisions are made, and intelligent systems are deployed in real-world environments.
This special session aims to explore emerging trends in AI-driven ICT systems, focusing on machine learning, deep learning, data mining, and intelligent analytics for solving complex real-world problems. The session emphasizes applications in healthcare analytics, smart infrastructure, cybersecurity, and sustainable systems, reflecting the growing need for intelligent and adaptive technologies.
The motivation behind this session is to provide a collaborative platform for researchers, academicians, and industry professionals to present innovative solutions, exchange ideas, and discuss challenges in designing scalable, efficient, and secure ICT systems powered by AI.
Furthermore, ICT plays a crucial role in achieving the United Nations Sustainable Development Goals (SDGs) by enabling smart governance, digital transformation, and data-driven decision-making. This session highlights the role of AI and data science in building resilient, secure, and sustainable digital ecosystems.
Scope and Interests (not limited to)
• Machine Learning and Deep Learning
• Data Mining and Predictive Analytics
• Artificial Intelligence in Healthcare
• Intelligent Data-Driven Systems
• Big Data Analytics and Visualization
• Natural Language Processing and Generative AI
• Computer Vision and Image Processing
• Cybersecurity and Data Privacy
• Internet of Things (IoT) and Smart Systems
• Cloud Computing and AI Integration
• Smart Cities and Sustainable Infrastructure
• Human-Computer Interaction and Intelligent Interfaces
• Educational Data Mining and E-learning Technologies
• Blockchain and Secure Data Systems
• AI for Climate, Energy, and Sustainability
• Explainable AI (XAI) and Ethical AI

Important Dates

  • Submission Deadline: September 30, 2026
  • Notification of Paper Acceptance: October 20, 2026
  • Early Registration: October 31, 2026
  • Late Registration: November 30, 2026
  • Conference Dates: December 4 -7, 2026