About
The International Conference on Innovation of Emerging Information and Communication Technology (ICIEICT’2023)
Conference Chairs
Prof. Luigi Vladareanu
Conference General chair
Institute of Solid Mechanics of Romanian Academy, Romania
Prof. Joan Lu
Co-chair
Hudersfield University, UK
Technical Program Committee
| Name | Affiliation | Country |
|---|---|---|
| Prof. Qing Tan (Technical Program Chair) | Athabasca University | Canada |
| Prof. Vishal Bhatnagar | Professor in the field of Computer Science and Engineering , Netaji Subhas University of Technology | India |
| Dr. Murad M. Al-Rajab | Software Engineering Department, ALHOSN University | United Arab Emirates |
| Pro. Hariharan Shanmugasundaram | Professor, Vardhaman College of Engineering | India |
| Dr. Tatiana Gavrilova | Head of Department, Information Technologies in Management Department Professor, Information Technologies in Management Department Graduate School of Management, St. Petersburg State University | Russia |
| Prof. Hariton Costin | Faculty of Medical Bioengineering, Gr. T. Popa Univ of Medicine and Pharmacy | Romania |
| Prof. Amer Goneid | Professor, Department of Computer Science and Engineering Computer Science Dept.,American University | Egypt |
| Prof. Halina Kwasnicka | Professor of Computer Science, Institute of Applied Informatics Wroclaw University of Technology | Poland |
| Dr. Masoud Mohammadian | University of Canberra Faculty of Information Sciences and Engineering Belconnen, ACT 2616 | Australia |
| Prof. Veska Georgieva | Professor, Department of Radio Communications and Video Technology- Technical University of Sofia | Bulgaria |
| Dr. Nouhad Rizk | Computer Science Department , University of Houston | USA |
| Dr. Jose B. Lazaro, Jr. | Mapua University- Bulacan State University | Philippines |
| Dr. Mokhtar Beldjehem | The School of Information Technology and Engineering(SITE) University of Ottawa | Canada |
| Dr.Munir Ahmed | Professor Computer Networks and Security Engineering London College of Research | United Kingdom |
| Dr. Predrag Dasic | High Technical Mechanical School of Professional Studies Trstenik | Serbia |
| Prof. Nora Sharkasi | Digital Marketing and Data Analytics Institute for International Strategy Tokyo International University | Japan |
Keynote Speakers
International Conference on Management, Business, and Economics 2023
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. Jeremy Horne
USA
President emeritus of the Southwest Area Meeting (division) of the American Association for the Advancement of Science
Prof. Latif Ladid
University of Luxembourg/SnT, Luxembourg
Prof. Prasan Kumar Sahoo
Department of Computer Science and Information Engineering, Chang Gung University, Taiwan
Special Sessions
| Photo | Name | Special 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 | ICIEICT23-SSN-0: Advanced Intelligent Control through Versatile Intelligent Portable Platforms 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 | ICIEICT23-SSN-1: Advanced Technology in Business Management and Corporate Finance 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 | ICIEICT23-SSN-2: Blockchain and its best Use Cases 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)Laxmi Ahuja, Dy.Director,AIIT Amity University,Noida, India | ICIEICT23-SSN-3: Recent Trends in Information Systems and Information Technologies Topics: • Analytics • Artificial Intelligence • Blockchain Technology • Cloud Computing • Cyber Security and Cyber Warfare • Digital Entrepreneurs • Digital Marketing • E-Gov., E-Comm., E-learning • Info. Security & Risk Mgmt. • IT Enabled Business Processes • IT Enabled Services • IT in Agriculture, Manufacturing & Service Sector • Knowledge Management • Mobile Computing & Networking Tech. • Online Social Networks • Project Management, Quality Management |
 | Dr. Houda EL Bouhissi LIMED Laboratory, Faculty of Exact Sciences University of Bejaia, Algeria | ICIEICT23-SSN-4: Special Session on: Swarm intelligence: Trends and Applications Topics: 1. Swarm intelligence models for real-world problems. 2. Swarm intelligence Applications. 3. Swarm intelligence algorithms and Machine learning algorithms for real-world applications. 4. Swarm-based Network Management. 5. Comparative theoretical and empirical studies on Swarm intelligence algorithms. 6. Swarm intelligence technologies and tools. 7. Swarm intelligence languages and frameworks. 8. Genetic Algorithms 9. Ant Colony optimization. 10. Particle swarm optimization. 11. Grey Wolf Optimization. 12. Cuckoo Search Algorithm 13. Swarm robotics. |
 | Pr.Dr. Youmna Elhissi System Engineering Laboratory University Sultan Moulay Slimane, Morocco | ICIEICT23-SSN-5: Digitalization impact on organization Management and performance Objectives and motivations At a time of accelerated digital transformation and mobility for all, new ways of working, vectors of productivity gains, crystallize the attention of top management. The real challenge is to change the management of the company to anchor the new features offered by technology in the working methods of the teams. The term digitalization has become common in the business world. Business leaders, speakers, public authorities and other economic actors use it frequently. There is even talk of the “Fourth Industrial Revolution”. Digitization affects the functioning of the company as a whole (distribution, customer experience, communication, business model, management, HR, production, etc.). For this reason, it should not be considered as an activity or a project, but as a complete and structural overhaul of the functioning of the company. Therefore, it is clearly of a strategic nature and must be integrated into the business strategy. In management, experts insist on 3 essential steps to ensure a pragmatic and successful digital transformation: 1. Know where to start your transformation 2. Gradually identify your priorities 3. Communicate effectively on the digital transformation to its employees Scope and Interests (not limited to) This session aims to bring together researchers, academicians and practitioners for discussion and exchange of ideas on the latest theoretical developments in this field as well as on the best practices for a wide range of applications. Papers dealing with case studies, experimental and theoretical works along with their application to real life situations are of particular interest. Submissions for this special session should address, but are not limited to, the following or related topics: • Change management • Knowledge management • Design Thinking and Innovation • Governance and management • Sustainable development • Education and Continuing Education • society and well-being at work •Advanced regionalization • Big Data, Blockchain and Cybersecurity • Uberization and Performance • Crowdfunding, FinTech and Insurtech • Industry 4.0 • E-commerce, Blitzscaling and Lean startup • Supply chain management • Audit and Management Control • Digital Marketing, Inbound Marketing and Storytelling • Well-being at work |
 | Prof. Youssef Naimi Physical Chemistry of Materials Laboratory Hassan II University of Casablanca, Morocco | ICIEICT23-SSN-6: Green Hydrogen Economy Topics: 1.Hydrogen production. 2.Reforming natural gas. 3. Gasification of coal and biomass; 4. Splitting of water by Water Electrolysis. 5. High-temperature decomposition 6. Stationary Fuel Cells. 7. Mobile Fuel Cells. 8. Microbien Fuel Cells 9. Hydrogen storage. 10. Hydrogen distribution. 11. Hydrogen to Developing Economies. 12. Hydrogen Infrastructure and Investment. |
 | Prof. Linhan Guo School of Reliability and Systems Engineering, Beihang University, China | ICI EICT23-SSN-7: Availability & maintenance of complex engineered systems Topics: • Availability model & optimization • Availability & maintenance in Industry 4.0 • Model & optimization on spare parts supply chain • Logistics engineering on maintenance • Digital twin for availability & maintenance • Life evaluation • Degrated performance evaluation • Prognostics and Health Management • Reliability model & analysis • Maintenance decision • Big data on warranty • Software Maintenance • Artificial Intelligence on availability & maintenance |
 | Prof.Mohamed Abdeldaiem Abdelhadi Mahboub Information Systems Department Faculty of Information Technology University of Tripoli, Libya | ICIEICT23-SSN-8: Data Science Optimization as State-of-the Art Methods Topics: 1- Data Science Optimization. 2- Deep Learning. 3- Data Fusion. 4- Data Imputation. 5- Data Mining. 6- Hybrid Methods. 7- Information Retrieval. 8- Feature Selection. 9- Fuzzy Computing 10- Neural Network Application. 11- Process Mining. 12- Support Vector Machine. 13- Pattern Recognition. 14- Predictive Modeling |
| Prof. Dr. Abdel-Badeeh. M. Salem Founder &Head of Artificial Intelligence and Knowledge Engineering Research Labs Computer Science Departement, Faculty of Computer and Information Sciences,Ain Shams University, Egypt | ICIEICT23-SSN-9: Artificial Intelligence Technology in Smart Healthcare and Bio-Medical Informatics Artificial Intelligence (AI) is devoted to creating computer software and hardware that imitates the human mind. The main goal of AI technology is to make computers smarter by creating software that will allow a computer to mimic some of the functions of the human brain in selected applications. Applications of AI technology include; general problem solving, knowledge engineering(KE), expert systems, natural language processing, computer vision, robotics, law, education, and healthcare intelligent systems. All of these applications employ knowledge base and inferencing techniques to solve problems or help make decisions in specific domains. This session discusses the recent trends of AI and KE paradigms for developing intelligent healthcare and smart medicalsystems.The session will provide a forum for the exchange of ideas between physicians and computer scientists, and knowledge engineers to address the essential issues in those areas. Papers related to methodologies, techniques, and applications in biomedical informatics and smart-Healthcare systems are especially solicited. Topics of interest include(but are not limited to)the following: • Health Care Information Systems • Computational Intelligence in life sciences • Machine Learning in Big Biomedical Data Analytics • Knowledge Engineering in Health Sciences • Clinical Information Systems • Medical Image Processing and Techniques • Medical Intelligent Systems for different medical tasks • Medical Expert Systems • Bioinformatics and Biostatistics • Telemedicine Software, Portals, Devices and Telehealth • Web-based and Remote Medicine • Data Mining and Knowledge Discovery in Medicine • Machine Learning-based Medical Systems • Artificial Intelligence Techniques in Health Sciences • Medical Databanks, Databases, and Knowledge Bases • Neurocomputing in Medicine • Ontology and Medical Information Science • Bioethics and Health informatics • Meanigful Use of Electronic Medical Record Systems • Value-based Medical Systems Program Committee Francesco Sicurello,Euro-Mediterranean Society of Bio-Medical informatics .Univ. of Milan Bicocca, Italy Dina Ziadlou,Colorado Technical University, Denver, USA Roumiana Kountcheva, T&K Engineering Co., Sofia, Bulgaria Mohamed Roushdy, Future University in Egypt Elena Nechita, VasileAlecsandri University, Romania Yukako Yagi, Harvard Medical School, Boston, MA, USA Hariton Costin, “Gr. T. Popa” Univ of Medicine and Pharmacy, Romania Smaranda Belciug, Faculty of Mathematics and Natural Sciences, University of Craiova, Romania Anna KLIM-KLIMASZEWSKA,Siedlce University of Natural Sciences and Humanities, Siedlce,Poland Nouhad Rizk, University of Houston, USA Akram Bennour,Informatics and Mathematics Lab ( LAMIS ),Larbi Tebessi University , Tebessa, Algeria. Hassan Ghazal, Moroccan Society for Telemedicine and eHealth, Morocco Mohaned Al. Obaidy, Computing Faculty, Gulf College, Oman SarmaCakula , Vidzeme University of Applied Sciences, Latvi Kamel H. Rahouma, Faculty of Engineering,Minia University, Minia, Egypt Organizing Committee Bassant Elbagoury , Faculty of Computers and Information Sciences, Ain Sham University Marco Alfonse, Faculty Applied Languages ,French University in Egypt, Cairo, Egypt Mahmoud. M. Bassiouni, Egyptian E-learning University, El-Giza, Egypt Mariam Gawish, Faculty of Applied Languages French University in Egypt, Cairo, Egypt Hanan Hindy, Faculty of Computers and Information Sciences, Ain Sham University,Cairo, Egypt Dalia Kamal A. A. Rizk, Faculty of Sciences and Engineering, The American University in Cairo, Egypt |
 | Prof. Chien-Ho Ko Department of Civil, Environmental & Architectural Engineering at the University of Kansas, USA A Director of the Craig and Diane Martin National Center for Construction Safety in the School of Engineering, Taiwan | ICIEICT23-SSN-10: Precast Production Scheduling Using Multi-Objective Genetic Algorithms Topics: A multi-objective genetic algorithm is developed to search for optimum solutions with minimum makespan and tardiness penalties. The performance of the proposed model is validated by using five case studies. The experimental results show that the MOPPSM can successfully search for optimum precast production schedules. Furthermore, considering buffer sizes between stations is crucial for acquiring reasonable and feasible precast production schedules. |
 | Prof. Wentao GU Professor of Sattistics, Deputy Director of Institute of Quantitative Economics, Zhejiang Gongshang University, China | ICIEICT23-SSN-11: Advanced Technology in Business Management and Corporate Finance 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 |
 | Dr. Fairouz Zendaoui, Laboratoire de la Communication dans les Systèmes Informatiques Ecole nationale Supérieure d’Informatique (ESI), Algeria | ICEICT23-SSN-12: Special Session on Human-Centered Data Science, Modeling and Artificial ntelligence Topics: - Modeling Web-related structures, data, users and behaviors. - Impact of AI and machine learning on the development of Web Science. - Truth discovery on the web. - Emotion in text communication. - Sentiment analysis methods and applications. - Analysis of online social and information networks. - Beliefs and uncertainty representation. - Detecting, preventing and predicting anomalies in Web data. - Safeguarding and governance of the Web. - Health, politics, economics and education on the Web. - Data-intensive scientific collaborations. - Collaborative educational games. - Bio-informatics algorithms and applications. - Visual analytics. - Face and speech recognition. - Natural language processing. |
 | Prof. Hassina Zendaoui, Institut Algérien du Pétrole (IAP), Algeria | ICEICT23-SSN-13: Renewable Energy and Smart Systems Topics: - Renewable energy resources. - Renewable energy technologies. - Renewable energy optimization. - IoT and renewable energy management. - Renewable energy prediction. - Renewable energy orchestration/choreography. - Smart control and management. - Smart renewable energy: Smart grid, wind power, solar energy. - Renewable energy applications: cities, transport, building, cathodic protection in oil field, biorefineries. - Soft computing applied to renewable energy. |
  | Prof. Marcelo Sampaio de Alencar, Department of Communications Engineering Federal University of Rio Grande do Norte Natal, Brasil Prof. Marina Yashina Department of Higher Mathematics Moscow Automobile and Road Construction State Technical University (MADI), Russia | ICIEICT23-SSN-14: Intelligent Traffic and Transportation Systems Topics: - Theoretical Aspects of Artificial Intelligence Systems Development - Cellular automata - Buslaev regular networks - Theory of traffic flow - Connected vehicles - Data analytics - Intelligent transport systems and infrastructure - Intelligent vehicle technologies - Smart mobility and sustainable transport services - Fully digital phased array radar concepts, such as MIMO radar, multi-channel SAR and MIMO-SAR systems, subsystems, architectures, and applications. - Multichannel radar RFIC, radar-specific packaging, assembly, and interconnect technologies. - Signal modeling and algorithms for fully digital array radar systems, including multidimensional forms of image reconstruction, range-Doppler processing, target detection & tracking, scene understanding, sparse array processing, data compression, compressive sensing, and machine-learning-based signal processing. - Digital array design, multiplexing, and waveform design in multichannel or MIMO radar. - Distortion analysis, error compensation, calibration, and signal predistortion concepts for digital radar arrays. - Multifunction system co-design. - Multidimensional waveform design and optimization for co-use. - Interference avoidance, mitigation, and theoretical analysis and bounds for spectral coexistence. - Statistical and electromagnetic environment modeling and validation. - MIMO radar and communication systems, including cognitive systems in the context of spectrum maneuverability. |
  | 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 | ICIEICT23-SSN-15: Advanced Intelligent Control in Robotics 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. |
 | Pr. Mehdi Gheisari Islamic Azad University, Iran | ICIEICT23-SSN-16: Research on Cyber Security in Network Topics: 1. Internet of Things 2. Big Data, Blockchain and Cybersecurity 3. Smart City 4. Cyber Security in Industry 4.0 |
 | Pr. Mazhar Malik Faculty of CSIT, Al-Baha University, Saudi Arabia ReDCAD Laboratory, University of Sfax, Tunisia | ICIEICT23-SSN-17: Research on Cyber Security in Network Topics: 1. Internet of Things 2. Big Data, Blockchain and Cybersecurity 3. Smart City 4. Cyber Security in Industry 4.0 |
 | Pr. Moez Krichen Islamic Azad University, Iran | ICIEICT23-SSN-18: Research on Cyber Security in Network Topics: 1. Internet of Things 2. Big Data, Blockchain and Cybersecurity 3. Smart City 4. Cyber Security in Industry 4.0 |
 | Pr. Dr. Abderrahmane Ouddasser Head of human resources management, High School of Technology of Fes Industrial Technologies and Services Laboratory, University Sidi Mohamed Ben Abdellah FES, Morocco | ICIEICT23-SSN-19: Human Capital and New Public Management Topics: 1. The PIS (Public Information System) 2. New methods of organizing the work of public human resources (teleworking) 3. New managerial practices in the public sector 4. Lean management in the public sector 5. Human resources management in the public sector 6. The management of public organizations (hospitals, social welfare organizations, development agencies, etc.) 7. The PPP (Public Private Partnership) 8. Contractualization 9. Delegated management of public services 10. Health, safety and well-being at work in the public sector 11. The employer brand in the public sector. |
 | Prof. Dina M. Ibrahim Department of Information Technology, College of Computer, Qassim University, Buraydah, Saudi Arabia | ICIEICT23-SSN-20: IoT/AI/Big Data Analytics Topics: 1- Internet of Things (IoT). 2- Artificial Intelligence and Big Data. 3- Artificial Intelligence and Deep Learning in Education. 4- Bioinformatics and Computational Biology. 5- Information Security. 6- Cybersecurity. 7- Robotics and Artificial Intelligence. 8- Machine Learning and Intelligent Systems. 9- Image and video Processing. 10- Communication Technology and Systems. 11- Wireless Communication and Internet of Things. 12- Information and communication technology (ICT) in the smart cities. |
 | Prof. GS Dr. Abdul Manaf Bohari | ICIEICT23-SSN-21: Geospatial Information Technology Topics: 1. Geospatial Information Technology in Business/Entrepreneurship 2. Geospatial Information Technology in Education 3. Geospatial Information Technology in Sport and Outdoor Events 4. Geospatial Information Technology in Environmental Management 5. Geospatial Information Technology in Sustainability Development 6. Geospatial Information Technology in Government Sector 7. Geospatial Information Technology in Private Sector 8. Geospatial Information Technology in Agriculture/Aquaculture/Forestry 9. Geospatial Information Technology in Society and Well-Being 10. Geospatial Information Technology in Marketing & Communication 11. Geospatial Information Technology in Meteorology & Climate Change 12. Geospatial Information Technology in Transportation, Logistics & Construction 13. Geospatial Information Technology in Broadcasting & Aerospace Management 14. Geospatial Information Technology in Economics, Finance and Banking Sector 15. Geospatial Information Technology in Social (Rural & Urban) Development 16. Geospatial Information Technology in Disaster and Risk Management 17. Geospatial Information Technology in Natural Resources 18. Geospatial Information Technology in Healthcare & Contagious Disease 19. Geospatial Information Technology in Energy (Renewable & Unrenewable) 20. Geospatial Information Technology in Smart City & Town Planning 21. Geospatial Information Technology in Water & Wetland Management 22. Geospatial Information Technology in Tourism & Heritage Management 23. Geospatial Information Technology in Waste & Water Pollution Control 24. Geospatial Information Technology in Military & Security 25. Geospatial Information Technology in Mapping & Contemporary Issues 26. Geospatial Information Technology in Gamification 27. Geospatial Information Technology in Politics/Wars/International Conflicts 28. Geospatial Information Technology & Internet of Things (IoT) 29. Geospatial Information Technology & Data/Information/Knowledge Management 30. Remote Sensing Applications & related Issues |
 | Prof. Dr. Mohd Shafry Mohd Rahim School of Business Management University Utara Malaysia (UUM), Malaysia University Sultan Moulay Slimane, Morocco | ICIEICT23-SSN-22: Metaverse Technology Objectives and Motivation : Metaverse is a new technology that combines virtual reality, virtual environment, blockchain, and artificial intelligence. It is designed to create a digital world that can be used in a variety of applications, such as digital asset management, gaming, social networking, and virtual marketplaces. It is also used to facilitate financial activities and create digital identities. In general, Metaverse can benefit people to improve their connectivity and solve problems. Metaverse technology provides enhanced security for records, transactions, and communications due to its distributed ledger technology. This has the potential to reduce the risk of fraud and cyber-attacks. Metaverse technology makes it easier to access data, resources, and services. It also allows users to access a variety of content from a variety of sources. A lot of research has been done in Metaverse technology to solve the current issues on flatform, speed, security, accuracy, usability, and application. In this session, we will open for any researcher to share new updates on the technology in various applications, methods, techniques, frameworks, and also approaches. This session also encourages researchers to share also the policies for implementing metaverse and sharing experiences. Scope and Interests (not limited to) This session aims to bring together researchers, academicians, and practitioners for discussion and exchange of ideas on the latest theoretical developments in this field as well as on the best practices for a wide range of applications. Papers dealing with case studies, and experimental and theoretical works along with their application to real-life situations are of particular interest. Submissions for this special session should address, but are not limited to, the following or related topics: • Metaverse Technology • Computer Graphics • Image Processing • Computer Vision • Virtual Reality • Augmented Reality • Virtual Environment • Meteverse Applications • Visualization |
| Prof. Prasan Kumar Sahoo Dept. of Computer Science and Information Engineering Chang Gung University, Taiwan | ICIEICT23-SSN-23: Artificial Intelligence for Internet of Things and Healthcare Applications Objectives Development of the Internet of Things (IoT) and Artificial Intelligence (AI) has provided an efficient and suitable alternative route for academics and engineers. IoT can connect the variable sensors effectively and provide the intelligent processing platform to implement the intelligent control of features. It is a disruptive technology that extends data collection to almost everything around us and enables them to react through intelligent data processing. AI not only has excellent performance in processing high dimensional variables which can help find the internal relationship of relevant parameters, but also has powerful computing power with remarkably less computational cost and noticeably higher operability. Artificial intelligence (AI), together with its learning techniques, including machine learning (ML), and deep learning (DL), represents a significant evolution in computer science and data processing that is rapidly changing many industries and profoundly influencing people’s daily lives. AI-driven solutions have already found applications in next-generation computing, communication, and decision-making on the networking paradigms, namely, the Internet of Things (IoT), Cyber-Physical Systems (CPS), Fog/Edge computing, Cloud computing, etc. Such solutions are vastly used in high-stakes applications like industrial automation, healthcare, automotive, energy, business, government, education, and justice, moving us toward a more algorithmic society. This session provides a forum for researchers, data scientists and practitioners from both academia and industry to present the latest research results, share practical experience of building AI powered IoT solutions for the industry, business, healthcare, and network with colleagues. Topics: 1. Artificial intelligence and deep learning application for Healthcare and Industry IoT 2. Learning-enabled IoT applications 3. AI in medical and healthcare 4. AI for edge computing 5. Real-time computer vision and speech processing 6. Optimized Blockchain for IoT 7. 5G and IoT 8. Big Data, Data Management and Analytics 9. Pattern Recognition 10. Cloud Computing and Data Center Systems 11. Computational Intelligence 12. Computer Graphics, Simulation and Modeling 13. Robotics and Machine Vision 14. Artificial Intelligence and Machine Learning Algorithms 15. Computer Vision and Speech Understanding 16. IoT and Ubiquitous Computing Protocols 17. IoT Enabling Technologies 18. Applications of IoT 19. Natural Language Processing |
 | Prof DIB Djalel Department of Electrical Engineering Mining Laboratory University Larbi Tebessi of Tebessa, Algeria | ICIEICT23-SSN-24: Green hydrogen and the fuel cell, a promising resource for the power electric storage Objectives and Motivation : The current global energy situation exposes in stark fashion, an unprecedented energy crisis, accentuated by the Russian invasion of Ukraine, the imperative that is widely imposed on the world is the exit from fossil fuels. On the road to carbon neutrality by 2050, no solution should be ruled out. A diversified energy mix will make it possible to achieve this objective. The development of renewable or low-carbon hydrogen must be a vector for massive decarbonization of many sectors of our economy as well as reindustrialization on the various continents. Faced with an extremely changing geopolitical framework, it seems essential to encourage and secure the production of hydrogen in order not to create new energy dependencies. Hydrogen is an opportunity for sovereignty, and manufacturers will play a key role in achieving the rapid scaling up imposed by this new energy context and the climate challenge. However, the considerable rise in energy prices, from which many economic sectors are suffering, is likely to have a structural impact on the value chain and the deployment of carbon-free hydrogen. The territories, essential links in the planning of the deployment and the anchor points of ecosystems of production-use of hydrogen, are in the front line to face this energy crisis. The development of knowledge of hydrogen through scientific research in the theoretical and experimental aspects involves all the actors of the different sectors for a more rational energy transition vision Three axes of development are interesting to retain for the Hydrogen vector: The blue and green production of hydrogen Hydrogen storage and current constraints The exploitation of the hydrogen as an energy resource Scope and Interests Cette session vise à réunir des chercheurs, des universitaires et des praticiens pour discuter et échanger des idées sur les derniers développements théoriques dans ce domaine de l'hydrogène ainsi que sur les meilleures pratiques pour un large éventail d'applications. Articles traitant d'études de cas, de travaux expérimentaux et théoriques. Les soumissions pour cette session spéciale doivent aborder, mais sans s'y limiter, les sujets suivants ou connexes : • Production de l’hydrogène bleu • Production de l’hydrogène vert • Stockage de l’hydrogène et contraintes • Les technologies avancées dans la fabrication des électrolytes • Les piles à combustibles PAC, modèles et applications • Application des TIA dans le contrôle optimale des piles à hydrogène • Les nouvelles tendances mondiales de stratégies énergétiques liées à l’hydrogène |
 | Pr. Abdellah Zamima Higher Normal School of Technical Education Mohammedia (ENSET) Hassan II University of Casablanca, Morocco | ICEICT23-SSN-25: Optimization techniques, and modeling, applied in Industrial Engineering Objectives and Motivation: To deal with the economic and environmental challenges of the energy systems management, several nations have set some ambitious targets in terms of their energy policy. Modernization of the electricity grid, decentralization of electricity production and the integration of renewable energies constitute the main pillars of this challenge. This session will highlight original research that concerns such issues as the design, operation, control or implementation of sustainable energy systems and smart grid infrastructure, clean and renewable energy, power engineering and sustainable transportation systems. Emphasis will be placed on those issues that concern the technologies and methods that deal with any of these aspects of smart grids and sustainable energy: demonstrating experimental analysis and design; control engineering; protection systems; modelling and simulation; computational intelligence; optimization algorithms; distributed systems; Big data and data analytics. Scope and Interests : The centers of interest are multidisciplinary and regroup several themes: • Applications cyber and physical security in smart grid • Energy management systems (with application to building and home automation) • AI application and big data analytics in Smart grid area • Machine and Deep learning techniques-based Prediction and Management in Smart Grid • Multi-agent systems in a distributed smart grid, • Communication and control in energy systems Intelligent monitoring and outage management • Smart sensors and advanced metering infrastructure • Wide-area protection • Microgrids • Renewable energy • Energy storage and distributed energy resources • Plug-in vehicles and low-carbon transportation alternatives Scientific Committee: • Pr. Abdelhadi RAIHANI, Hassan II University of Casablanca UH2C. Morocco • Pr. Abdelmounim ELMAGRI, Hassan II University of Casablanca UH2C. Morocco • Pr. Rachid LAJOUAD, Hassan II University of Casablanca UH2C. Morocco • Pr. Mohamed KISSAOUI, Hassan II University of Casablanca UH2C. Morocco • Pr. Lhoussain BAHATTI, Hassan II University of Casablanca UH2C. Morocco • Pr. Asmae OUHMIDA, Hassan II University of Casablanca UH2C. Morocco • Pr. Sara SANDABAD, ISEM of Casablanca, Morocco • Pr. Meryem HAMIDI, Hassan II University of Casablanca UH2C. Morocco • Pr. Bouchaib CHERRADI, CRMEF Casablanca-Settat, provincial section of El Jadida, Morocco • Pr. Soufiane HAMIDA, Hassan II University of Casablanca UH2C. Morocco • Pr. Hamid CHIKHI, Chouaib Doukkali University of El Jadida, Morocco • Pr. Tajeddine KHALILI, Sultan Moulay Slimane University of Beni Mellal, Morocco |
 | Pr. Abdelhadi Raihani Higher Normal School of Technical Education Mohammedia (ENSET) Hassan II University of Casablanca, Morocco | ICEICT23-SSN-26: Smart Grid and Renewable Energy Objectives and Motivation: To deal with the economic and environmental challenges of the energy systems management, several nations have set some ambitious targets in terms of their energy policy. Modernization of the electricity grid, decentralization of electricity production and the integration of renewable energies constitute the main pillars of this challenge. This session will highlight original research that concerns such issues as the design, operation, control or implementation of sustainable energy systems and smart grid infrastructure, clean and renewable energy, power engineering and sustainable transportation systems. Emphasis will be placed on those issues that concern the technologies and methods that deal with any of these aspects of smart grids and sustainable energy: demonstrating experimental analysis and design; control engineering; protection systems; modelling and simulation; computational intelligence; optimization algorithms; distributed systems; Big data and data analytics. Scope and Interests : The centers of interest are multidisciplinary and regroup several themes: • Applications cyber and physical security in smart grid • Energy management systems (with application to building and home automation) • AI application and big data analytics in Smart grid area • Machine and Deep learning techniques-based Prediction and Management in Smart Grid • Multi-agent systems in a distributed smart grid, • Communication and control in energy systems Intelligent monitoring and outage management • Smart sensors and advanced metering infrastructure • Wide-area protection • Microgrids • Renewable energy • Energy storage and distributed energy resources • Plug-in vehicles and low-carbon transportation alternatives Scientific Committee: • Pr. Abdelhadi RAIHANI, Hassan II University of Casablanca UH2C. Morocco • Pr. Abdelmounim ELMAGRI, Hassan II University of Casablanca UH2C. Morocco • Pr. Rachid LAJOUAD, Hassan II University of Casablanca UH2C. Morocco • Pr. Mohamed KISSAOUI, Hassan II University of Casablanca UH2C. Morocco • Pr. Lhoussain BAHATTI, Hassan II University of Casablanca UH2C. Morocco • Pr. Asmae OUHMIDA, Hassan II University of Casablanca UH2C. Morocco • Pr. Sara SANDABAD, ISEM of Casablanca, Morocco • Pr. Meryem HAMIDI, Hassan II University of Casablanca UH2C. Morocco • Pr. Bouchaib CHERRADI, CRMEF Casablanca-Settat, provincial section of El Jadida, Morocco • Pr. Soufiane HAMIDA, Hassan II University of Casablanca UH2C. Morocco • Pr. Hamid CHIKHI, Chouaib Doukkali University of El Jadida, Morocco • Pr. Tajeddine KHALILI, Sultan Moulay Slimane University of Beni Mellal, Morocco |
 | Pr. Intissar Salhi Moroccan School of Engineering Sciences of Casablanca EMSI- Casablanca, Morocco | ICIEICT23-SSN-27: Advances in computing and Artificial Intelligence for optimal modern applications Objectives and Motivation : Computer Science and Artificial Intelligence (AI) are two of the most rapidly evolving fields in today's world. With the increasing demand for intelligent systems that can learn, reason and make decisions, AI is becoming more important than ever before. Computer Science is a foundational discipline that provides the basis for the design and implementation of software and hardware systems that power our world. The integration of these two fields has enabled the development of cutting-edge optimization tools that can help to solve complex problems in diverse domains, such as healthcare, education, finance, transportation, logistics, and many more. Optimization techniques are being used to make better decisions, improve processes, and optimize resources. This special session aims to bring together researchers, practitioners, and experts from academia and industry to present and discuss the latest advancements in Computer Science and AI optimization tools. The session will cover a wide range of topics, including machine learning, deep learning, natural language processing, computer vision, optimization algorithms, and data analytics and their applications in different domains, with a particular focus on optimization tools for modern applications. Scope and Interests : The objective of this special session is to provide a platform for researchers and practitioners to share their latest research findings, innovations, and advancements in computer science and AI-based optimization tools. The session will cover a wide range of topics including, but not limited to: • Machine Learning for Optimization; • Deep Learning for Optimization; • Evolutionary Algorithms; • Swarm Intelligence; • Constraint Satisfaction Problems; • Combinatorial Optimization; • Mathematical Programming; • Heuristics and Metaheuristics; • Multi-objective Optimization; • Optimization under Uncertainty. Scientific Committee: • Pr. Asmae Ouhmida (Hassan II University of Casablanca UH2C. Morocco) • Pr. Amina Ouatiq (Hassan II University of Casablanca UH2C. Morocco) • Pr. Fatima Ezzahra Ziani (EMSI-Casablanca, Morocco) • Pr. Abdelhadi RAIHANI, (ENSET, University of Hassan II, Casablanca, Morocco) • Pr. Mohamed EL KHAILI (ENSET, University of Hassan II, Casablanca, Morocco) |
 | Pr. Mohamed EL Khaili Higher Normal School of Technical Education Mohammedia (ENSET) Hassan II University of Casablanca, Morocco | ICIEICT23-SSN-28: Embedded Systems and Artificial Intelligent for Industry 4.0 Objectives and Motivation: Organized by researchers from different University. the session "Embedded Systems and artificial intelligent for Industry 4.0" is presented jointly with International Conference on Innovation of Emerging Information and Communication Technology (ICIEICT'2023) AI and Big Data present many opportunities for the implementation of Industry 4.0. Innovative technologies have enabled researchers and manufacturers to securely store vast amounts of data. This data is subsequently subjected to artificial intelligence techniques to produce refined models that display continuous improvement over time. The session of Embedded Systems and Artificial Intelligent for Industry 4.0 aims to promote research for these emerging technologies, in order to share and exchange experiences, and research results, and to focus mainly on work that deals with System Embedded and AI in the industrial context and mainly the new generation of industry 'industry 4.0'. Our session solicits high-quality articles with new ideas, illustrating new models of artificial intelligence, machine learning, deep learning, big data, as well as than the possibilities offered by the alliance between AI and Big Data. The "Embedded Systems and Artificial Intelligence for Industry 4.0" session serves as a forum for the convergence of multidisciplinary researchers, professionals, and practitioners hailing from both academia and industry, with diverse engagements in the various aspects of Embedded Systems and Artificial Intelligence for Industry 4.0. The session “Embedded Systems and Artificial Intelligent for Industry 4.0” organizers could recommend selected outstanding papers to the main conference chairs. After further revision, these papers could be considered for publication in journals special issues. Scope and Interests: Authors are cordially invited to submit original research papers in any aspects of Embedded Systems & Artificial Intelligent with emphasis on but are not limited to the following topics: • Artificial Intelligent and Industry 4.0 • Artificial Intelligent and workflow automation • Embedded Systems • Intelligent Systems for smart logistics • Intelligent Traffic and Transportation Systems • Planning and Scheduling in industry 4.0 • IoT, IIoT and IOE (Internet of Everythings) in industry 4.0 • Information and communication technologies for the smart factory • 5G Wireless Networks and Systems in industry 4.0 • Big data analytics in Industry 4.0 • Big Data Security, Privacy and Trust • Cloud and Big Data for Internet of Things (IoT) • Techniques and Algorithms for Real-Time Big Data Analytics • Big Data and Data Science • Blockchain and digitalization tools The mentioned topics are just indicative and are not limited. Scientific Committee: • B. BEN HALA Sidi Mohammed Ben Abdellah University, SMBA, Fez. Morocco • K. BOUDARAYA Mohamed V University of Rabat UM5R. Morocco • K. CHOUKRI Hassan II University of Casablanca UH2C. Morocco • M. EL KHAILI Hassan II University of Casablanca UH2C. Morocco • M. JAMMOUKH Hassan II University of Casablanca UH2C. Morocco • KHIAT Hassan II University of Casablanca UH2C. Morocco • M. LAHBY Hassan II University of Casablanca UH2C. Morocco • H. NHAILA Hassan II University of Casablanca UH2C. Morocco • H. OUAJJI Hassan II University of Casablanca UH2C. Morocco • M. RAFIK Hassan II University of Casablanca UH2C. Morocco • H. SABER Mohamed V University of Rabat UM5R. Morocco • L. TERRADA Hassan II University of Casablanca UH2C. Morocco • ZAMMA Hassan II University of Casablanca UH2C. Morocco |
 | Pr. Mustapha Jammoukh Higher Normal School of Technical Education Mohammedia (ENSET) Hassan II University of Casablanca, Moroco | ICEICT23-SSN-29: Sustainable Development and Industrial Technology Objectives and Motivation To integrate the consideration of environmental issues in the eco-industrialization phase of a product eco- industrialization is an ecological quality improvement and preventive approach of it while verifying that the resulting environmental gain is not at the expense of other environmental aspects and focusing on the preservation of its quality of use of its features or certain stages of its life cycle without losing the own global vision of eco- industrialization. Following this vision, the use of bio-diversed row materials derived from a mode of production by implementing optimization practices respectful of natural resources sustainably, has become changing way of thinking largely replace the use of non-renewable resources for human activities, the depletion of fossil resources deposits and to fight against the impact of climate change generated by this practice. Scope and Interests For a product derived from biomass, it is common to have mixed origins products (fossil, mineral, vegetable or animal), in order to benefit from the advantages of each constituent. Indeed, the choice of such a material , for a practitioner depends on the main motivations : • Optimize its costs and vary its supply in order to be always competitive in market place and resist to fluctuations, have new features and properties, • Reduce its environmental footprint. To achieve these objectives, we propose the axes of interest include, but are not limited to the following: • Optimization of natural resources. • Recycling and valorization of waste. • Modeling of mechanical structures. • Seismic analysis. • Eco-industrial design. • Industrial Systems Engineering • Innovation and application of sustainable materials. • Elaboration and treatment of metallic materials. • Generation and optimization of material and energy flows. • Renewable Energy Research and Applications for Industries. • Materials for solar energy and their applications. • Regulation and industrial instrumentation. • Industrial and logistics management. • Safety of industrial systems. • Management of industrial maintenance. Scientific Committee: 1. Pr. Mustapha JAMMOUKH. Hassan II University of Casablanca UH2C. Morocco. 2. Pr. Khalifa MANSOURI. Hassan II University of Casablanca UH2C. Morocco. 3. Pr. Bachir SALHI. Hassan. II University of Casablanca UH2C. Morocco. 1. Pr. Omar BOUATTANE. Hassan II University of Casablanca UH2C. Morocco. 2. Pr. Mohammed YOUSSFI. Hassan II University of Casablanca UH2C. Morocco. 3. Pr. Mohammed QBADOU. Hassan II University of Casablanca UH2C. Morocco. 4. Pr. Said ABTAL. Hassan II University of Casablanca UH2C. Morocco. 5. Pr. Abdellah ZAMMA. Hassan II University of Casablanca UH2C. Morocco. 6. Pr. Mohamed BELAFHAILI. Hassan II University of Casablanca UH2C. Morocco. 7. Pr. Said BELAAOUAD. Hassan II University of Casablanca UH2C. Morocco. 8. Pr. Abdelkader BIFADENE. Hassan II University of Casablanca UH2C. Morocco. 9. Pr. Lhousssain BAHATTI. Hassan II University of Casablanca UH2C. Morocco. 10. Pr. Benaissa KISSI. Hassan II University of Casablanca UH2C. Morocco. 11. Pr. Abdelhadi RAIHANI. Hassan II University of Casablanca UH2C. Morocco. 12. Pr. Abdelilah HACHIM. Ministère de l’Equipement, du Transport, de la Logistique et de l’Eau. |
 | Pr. Saad Saoud Foued , Ph.D. Institute of Science and Technology of Physical and Sports Activities. Msila .Algeria University Mouhamed Boudiaf of Msila, Algeria | ICEICT23-SSN-30: Sports and Health Objectives and Motivation : Nowadays, many people like to watch movies, spend a lot of time watching TV, and are often idle, away from hard work and physical exercise. However, a healthy brain only exists in a healthy body, and the body may need activity and vitality most, because laziness and inactivity will weaken the strength of the body over time. Therefore, it is very important and necessary to constantly encourage yourself to exercise. Sports play an important role in keeping your body healthy, even in a simple time, but don't underestimate this, because sports will bring poison to your soul, improve your mental health and strengthen your physical strength. Sports play a vital role in modern society, because sports are an integral part of an individual's physical and mental health. Sports can make you stronger and healthier, thus helping to reduce the incidence of obesity, diabetes and hypertension. Regular exercise through sports programs can also help to improve heart and lung function. People who engage in sports activities are also less likely to take drugs and smoke. Sports activities help to create opportunities and build friendships in healthy, safe and happy activities, all of which revolve around an active lifestyle. Scope and Interests : Medical and Health Sciences has made it possible to develop research axes between the academic and industrial or medical world with an unprecedented synergy. The centers of interest are multidisciplinary and regroup several themes: • Exercise and Chronic Diseases • Health-related Sports Programs • Sports for the elderly • Health related sports activities • Sports Injuries • Motor Rehabilitation Programs • Sports related diseases • About Sports Medicine and Hospital Centers • Sports nutrition • Anti doping Scientific Committee: 1. Pr. Saad saoud Foued University Mouhamed Boudiaf of Msila. I.STAPS, Algeria 2. Pr. Athir Mouhamed Sabri. University of Bagdad . Iraq 3. Pr. Nivin HoudaHassan II University of Casablanca UH2C. Egypt 4. Pr. TAKI Hassan Hassan II University of Casablanca UH2C. Tunisia 5. Pr. Chiha fouad University Constantine2 of Constantine. I.STAPS, Algeria 6. Pr. Benkara Yassine University Constantine2 of Constantine. I.STAPS, Algeria 7. Pr. Megag Kamel University Mouhamed Boudiaf of Msila. I.STAPS, Algeria 8. Dr. Chenafi Miloud University Mouhamed Boudiaf of Msila. I.STAPS, Algeria |
  | Pr. Said Belaaouad Faculty of Sciences Ben M'sik, Hassan II University, Morocco Pr. Mailka Tridane Regional Center of Education and Training Trades, Morocco | ICEICT23-SSN-31: Materials - Energy and Technology 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: 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. • 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. Topics of interest include, but are not limited to, different scientific fields: Scientific Committee: 1. Pr. Said Belaaouad. Faculty of Sciences Ben M'sik, Hassan II University Casablanca Morocco 2. Pr. Said Benmokhtar. Faculty of Sciences Ben M'sik, Hassan II University Casablanca Morocco 3. Pr. Youssef Naimi. Faculty of Sciences Ben M'sik, Hassan II University Casablanca Morocco 4. Pr. Mailka Tridane. Regional Center of Education and Training trades. Casablanca Morocco 5. Pr. Mustapha JAMMOUKH. Hassan II University of Casablanca UH2C. Morocco. 6. Pr. Abdellah ZAMMA. Hassan II University of Casablanca UH2C. Morocco. 7. Pr. Khalid CHIKH National School of Applied Sciences (ENSA) . Khouribga. Moroc-co 8. Pr. terhzaz jaouad Regional Center of Education and Training trades. Casablanca 9. Pr. El mostafa Tace Faculty of Sciences Ben M'sik, Hassan II University Casablanca |
  | 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 | ICEICT23-SSN-32: Advanced Intelligent Control in Robotics and Mechatronics 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 | ICEICT23-SSN-33: AI-Enhanced Real-Time System 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. Gertrude I Hewapathirana College of Business Gulf University for Science and Technology, Kuwait | ICEICT23-SSN-34: Ready to Cope with the Increasing Use of Advanced ICT, Robots, and Artificial Intelligence in your workplace Objectives and Motivation : The rapid penetration of the 4th Industrial World Technologies into the everyday lives of people and organizations created many opportunities and unanswered questions, uncertainties, and fears. A few of the critical challenges are that organizations need to be more agile, flexible, and resilient than ever before. Employees need to swiftly develop the most needed expertise to take over many non-traditional jobs that require new expertise, innovations, and instant adjustment to their workplaces to carry out technologized functions to cope with the changes to survive. Workplaces and employees need to develop their unique yet boundaryless capabilities to sustain in highly volatile economic environments than fearing losing jobs and businesses due to the introduction of robots, AI, and innovative communication technologies. For example, artificial intelligence is rapidly integrating into many organizations in all aspects of human lives, aimed at increasing global GDP by 15.7 trillion by 2030. Firms will need to comply with international standards and regulations, practices, processes, and more responsible approaches to be competitive while avoiding liabilities. Similarly, while robots will replace some or more human jobs, information communication technologies dramatically alter traditional work practices and organizational communication aiming to achieve efficiency and sustainability. This scenario will develop new thinking and research opportunities for researchers to have an exciting debate. Below are a few potential research questions future researchers may consider at this conference. 1. How would the increasing use of multiple technologies, robots, and artificial intelligence in the modern workplace affect the future of employees' jobs? 2. How would the future skill requirements of respective job markets change? 3. How do organizational management, Resource-based theory, and boundaryless career theories intersect in integrating advanced workplace technologies? 4. What challenges and opportunities exist for employees and organizations? 5. What theoretical implications will emerge? |
 | Dr. AbdulRaouf Khan Associate Professor Department of Computer Sciences King Faisal University, Alhassa, 31982, Saudi Arabia | ICEICT23-SSN-35: Advances in Mobile Edge Computing (MEC) The Internet of Things (IoT) technology has emerged in response to the ever-growing demand for smarter, faster, and more convenient ways of connecting and controlling large numbers of smart devices. IoT applications are encountered in a variety of fields, such as healthcare, business, home appliances, and the military. It involves a large number of smart devices and sensors connected together, where this allows us to continually obtain massive amounts of data that are then sent to a processing unit to obtain meaningful information for the end users. This central processing unit may be a cloud server that can provide unlimited storage and processing capabilities. Cloud computing is a suitable technology for allowing limited-capability devices in the IoT to offload their computational tasks to a more powerful server. However, having only one central server increases the potential for the development of bottlenecks such that the performance of the entire system is dependent on a single point: the cloud server. Moreover, commonly used applications of the IoT involve mobile devices, such as vehicles and smartphones, connected together. Cloud computing is not the best choice for this type of IoT due to such limitations as location unawareness, high cost, the unavailability of real-time services, and insufficient guarantees of data privacy. These limitations have led to the advent of another technology: mobile edge computing (MEC). MEC provides a decentralized structure wherein several mobile servers with high processing capabilities are provided to serve the end devices. Mobile Edge Computing will play very important roles in future computing and networking systems. However, resource constraints of these mobile devices effect the efficiency, throughput and have other communication based limitations. There is a need to investigate computing & networking technologies to optimize MEC resources and architectures. Very recently Federated Learning in AI has emerged where Mobile devices collaboratively train a Model while keeping the training data decentralized. The objective of this special session is to discuss the future advancements in Mobile Edge Computing technologies, challenges, and its applications. The topics of interest include but are not limited to the following. • MEC for 5G & 6G • MEC for IoT services • Computing & Networking issues. • Security & Privacy issues • Applications in the industry • Application in AI • Resource optimization • Data analysis and Federated Learning |
 | Dr. Florin Vladica College of Business Management, University of Doha for Science and Technology, Qatar | ICEICT23-SSN-36: Adoption and Use of AI Technologies in Business Education Objectives and Motivations A student is said to be engaged in learning when that student is involved “in meaningful academic activities” (Collaco, 2017, p. 40). Student engagement is important because it is one of the best predictors of a student’s success in learning. Since not all activities engage students in the same way, instructors are faced with the challenge of gaining and keeping the attention, interest and motivation of students over the duration of the class period (Birknerova, 2010). Therefore, educators devote substantial effort to deploy educational and learning tools and techniques that can address such challenge(s) (Matute & Melero, 2016). In this context, artificial intelligence (AI) is already in use in classrooms with such things as smart textbooks, computerized grading, assessment tools, responsive games and simulations (Ahalt & Fecho, 2015). For example, business games and simulations use artificial intelligence to update outcomes or difficulty of questions based on information students provide. In this way, the outcomes of simulations are influenced by the student’s responses. This produces more personalized learning for the student resulting in more engaged and successful students (UNESCO, 2019). This special session explores current status and best practices for, adoption and integration of artificial intelligence (AI) technologies in education. The AI applications are drivers for innovation in business and education. Developed economies already prototype and bring to the marketplace innovative applications that learn by interacting with humans (students), evolve independently and then contribute to learning. Developing countries can benefit too, as AI applications are drivers for innovation in business and education. Especially in the Middle East, some countries have the potential and strive to become leaders in the development of artificial intelligence applications. Ultimately, the contributions for this special session address a gap in knowledge and capabilities required for best practices, and for prototyping and commercialization of educational services using artificial intelligence technologies. Scope and Interests 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 in this field of interest, as well as on the best practices and prototypes for a wide range of applications. Papers dealing with case studies, business games and simulations, experimental and theoretical works along with their application to real life situations are of particular interest. Submissions for this special session should address, but are not limited to, the following or related topics: - Education and Continuing Education - Artificial Intelligence in Education - Serious Games and Simulations - Governance and Management |
 | Dr. Hebbat Allah Elwishy Assistant Professors of Information Systems Prince Sattam Bin Abdulaziz University | ICEICT23-SSN-37: Emerging Information and Communication Technologies for developing Smart Sustainable Cities in Saudi Arabia Objectives and Motivations As essential part of 2023 Agenda for sustainable development with concerns of climate change and rapid growth of environmental pollution stimulate governments to construct Smart Sustainable Cities (SSCs) utilizing innovation solutions to guarantee high quality life for everyone. According to the the sustainable development goals (SDGs) and within the context of Vision 2030 of Saudi Arabia for digital transformation and knowledge-based economy, Saudi government invests in SSCs like Neom-The Line city aiming to overcome their interrelated challenges by exploiting the potentials of emerging Information and Communication Technologies (ICTs). These recent technologies involve Artificial Intelligence (AI) and human-machine fusion along with Internet of Things (IOT) and robotics in the presence of Extended Reality (ER) regulated by cybersecurity using 5G and beyond (B5G) technology will enhance health care systems, preserve renewable energy resources, provide innovative ways to optimize waste utilization and improve thermal comfort. This comprehensive conceptual framework can support all stakeholders to implement SSCs by greater predictive intelligence helping fast accurate decision making. Scope of Interest (not limited to) This session assesses ICT innovation technologies facing challenges of SSCs aims at researchers, academicians, practitioners and professionals to discuss and exchange of ideas on the latest theoretical developments in this field as well as on the best practices for a wide range of applications. Papers dealing with case studies, experimental and theoretical works along with their application to real life are of particular interest Submissions for this special sessions should address, but are not limited to, the following or related topics: • Digital sustainability. • Digital innovation in construction. • Smart dust and smart buildings. • Digital transformation. • Green information and communication technology. • Artificial Intelligence (AI), Machine Learning(ML), Deep Learning (DL), Natural Language Processing (NLP) and human-machine fusion. • Internet of Things (IOT). • Network Robotics. • Wearable computers. • Smart transportation systems. • Intelligent Video Surveillance (IVS). • Smart Health care systems and E-Health management. • 5G Technology and beyond (B5G). • Autonomous vehicles and unmanned aerial vehicles. • Virtual Reality (VR), Augmented Reality (AR) and Extended Reality (ER). • Public safety network and cybersecurity. |