H.E. Prof. Mohamed Abdulzaher is a Professor of Media and Artificial Intelligence, pioneer of Artificial Intelligence Journalism and Media of the Metaverse, and an expert in the Fourth and Fifth Industrial Revolutions. He is the CEO of AIJRF, President of the Artificial Intelligence Journalism World Forum (AIJWF), and Founder of the Arab Index for Artificial Intelligence in Universities (AIU). He has served as Senior Media Advisor at LSEG and as a media advisor to the United Nations, and has worked as a journalist and editor-in-chief for Thomson Reuters, BBC, and Financial Times. Prof. Abdulzaher developed the first AI Journalism Communication Model and has coined numerous concepts in media and AI, including 7G Journalism, Media of the Metaverse, and Blockchained-News. He has authored over 90 research studies and 20 books in media, AI, and Metaverse media, in both Arabic and English.

Prof. Dr. Noor Zaman Jhanjhi is a Senior Professor of Computer Science at Taylor’s University, Malaysia, specializing in Artificial Intelligence and Cybersecurity. He serves as the Director of the Center for Intelligent Innovation (CII) and Program Director for Postgraduate Research. Recognized among the world’s top 2% research scientists (2022–2025), he is one of Malaysia’s leading computer science researchers. Prof. Jhanjhi has received several prestigious awards, including the Outstanding Faculty Member Award (MDEC, 2022) and the Vice Chancellor’s Best Research Citations Award (Taylor’s, 2023). A prolific scholar, he has authored over 80 research books with major publishers and supervised 45+ postgraduate completions. He serves on editorial boards of top-tier journals such as PeerJ Computer Science and IEEE Access, and has delivered 90+ keynote talks worldwide. With his exceptional leadership and dedication, Prof. Jhanjhi continues to advance innovation and inspire the global research community in AI and Cybersecurity.

Marco Aiello Professor of Computer Science, Head of the Service Computing Department, and Vice-Dean of Faculty V at the University of Stuttgart, Germany. An elected member of the European Academy of Sciences and Arts, Fellow of AAIA, Global Affiliated Research Faculty at Chang Gung University, Taipei, Taiwan. He is vice-president of Informatics Europe. He holds a PhD in Logic from the University of Amsterdam, the Habilitation in Applied Informatics from TU Wien, and a master's degree in Engineering from La Sapienza University of Rome. In 2016, together with three former Ph.D. students, he founded the company SustainableBuildings BV, acquired in 2020 by the Dutch energy company Innova BV. His research interests are in Service Computing, Smart Energy Systems, and Spatial Reasoning. He has authored over 200 peer-reviewed articles and several books, which have been cited more than 8.500 times.

Heoncheol Lee received the B.S. degree in electronic engineering and computer sciences from Kyungpook National University, Daegu, South Korea, in 2006, and the M.S. and Ph.D. degrees in electrical engineering and computer sciences from Seoul National University, Seoul, South Korea, in 2008 and 2013, respectively. From 2013 to 2019, he was a Senior Researcher with the Agency for Defense Development, Daejeon, South Korea. Since 2019, he has been with the School of Electronic Engineering, Kumoh National Institute of Technology, Gumi, South Korea as an Assistant Professor and Associate Professor. He is currently a Technical Adviser with the Robot Navigation Division, Cleaning Science Research Institute, LG Electronics. His current research interests include SLAM, autonomous robot navigation, and on-device AI.

Dr. Yukun Lu is currently an Assistant Professor with the Department of Mechanical Engineering at the University of New Brunswick in Canada. She is also the Director of the Intelligent Mobility and Robotics Lab (IMRL). She earned her Ph.D. in Mechanical and Mechatronics Engineering from the University of Waterloo in 2023, where she continued as a Postdoctoral Researcher at the Mechatronic Vehicle Systems Lab (MVSL). She holds a B.Eng. in Vehicle Engineering with a minor in Business Administration, completed in 2018. Her background and future research interests include ground vehicle corner modules, intelligent robotic mobility, data-driven learning-based control strategies, vehicle dynamics and control, etc.

Enas Musa Al-lozi, BSc, MSc, PhD is an Associate Professor at Zayed University. Enas has pursued her PhD in information systems and computing at a very young age from Brunel University London by the year 2011, and that gave her the opportunity of being exposed to several administrative and academic activities at an early stage of her career path. Her expertise has helped her lead several faculty committees including the computing & e-learning committee, scientific research committee, other than participating within the AACSB, and quality assurance committees. Al-lozi as well is in charge of the international/hybrid learning program at the faculty. Her research interests cover topics of systems analysis and design, E-business, enterprise systems, Web applications and technology adoption & acceptance. She has published several research papers with local and international co-authors within highly ranked and well recognized journals. Al-lozi is always eager to learn more and gain expertise and knowledge within her academic career path through the continuous engagement and involvement with international curriculum and extra-curriculum activities.

Balázs Barta is an economist, with executive management education from Wharton and Insead. He earned his PhD in manufacturing technologies. Having worked for multinational companies he established Pannon Business Network (PBN), on a value-added concentrating digital innovation center 20 years ago. PBN got over 120 international applied research and partnership projects, with more than 500 European partners. He established a digital innovation hub, as a subsidiary of PBN, in 2017. Its mission is seeking the latest academic competencies seeking to transform into applied technologies for businesses. In 2020 he founded digital care research center, as another subsidiary, with emphasis on digital technologies in senior care. Key components are teaching and learning factory, sensor-based observation lab for monitoring human-robot interactions and transformation of learnings into policy insights. With international co-authors he published a book on humanoid robots, with the title ‘New Paradigm of Social Humanoids’. It indicated the shift in focus towards the new technology, mainly on how it can be applied in a value added way into manufacturing and senior care. A multidisciplinary team was set up, in order to assist with high quality qualitative research that matches both the academic standards and provides insights into the business areas. He is an active member of the local, regional and European community. His enthusiasm was recognized by multiple awards. PBN (am-lab division) was awarded best digital innovation hub in 2020, praised by European Commissioner, he was awarded achievement awards by the city, recently by Interreg Europe for interregional collaboration.

Sadam Al-Azani is a founding research scientist of SDAIA-KFUPM Joint Research Center for Artificial Intelligence (JRC-AI), and affiliated with Information & Computer Science Department, King Fahd University of Petroleum & Minerals (KFUPM), Dhahran, Saudi Arabia. His research interests include Artificial Intelligence, Multimodal Learning, Natural Language Processing, Generative AI, Video Analytics, and Human-Computer Interaction. He has several publications and patents in his research areas and has served as a program committee member and a reviewer for a number of international conferences and journals. Al-Azani also served as a PI and Co-I for a number of funded research projects, demonstrating a strong leadership role and collaborative expertise in advancing various research initiatives.

Dr. Fadhil Mukhlif is a lecturer in the Department of Cybersecurity Engineering Techniques at the Technical Engineering College for Computer and AI, Northern Technical University, Kirkuk, Iraq. He is the Founder and Head of the Cybersecurity and Artificial Intelligence Research Group (CAIRG) at the same affiliation. He earned his B.Sc. in Electrical Engineering from the University of Tikrit, Iraq, in 2010, followed by an M.Eng. in Telecommunication Systems from Universiti Teknikal Malaysia Melaka (UTeM), Malaysia, in 2013. In 2020, he completed his Ph.D. in Computer Networks & Wireless at the Faculty of Engineering, University of Malaya (UM), Malaysia. From July 2021 to September 2024, he served as a Postdoctoral Research Fellow in the Information Assurance and Security Research Group (IASRG) at the Faculty of Computing, Universiti Teknologi Malaysia (UTM), Malaysia. His research interests encompass Cybersecurity, AI applications in cybersecurity, Artificial Intelligence, Machine and Deep Learning, Game Theory, Networking, UAVs, IoT, WSN, and Cloud Networks.

Prof. Dr. Kaya Kuru received his B.Sc. degree from the National Defence University (Turkish Military Academy), an ADP/Major degree in Computer Engineering from Middle East Technical University (METU), an M.B.A. from Selçuk University, and M.Sc. and Ph.D. degrees in Computer Science/Medical Informatics from METU. He completed his postdoctoral research at the School of Electronics and Computer Science, University of Southampton, UK. He has recently been involved in the implementation of several AI-based real-world systems through various funded projects. His research interests focus on the development of geo-distributed, responsible, ethical, and autonomous intelligent systems using Federated Learning (FL), Machine Learning (ML), Deep Learning (DL), and Deep Reinforcement Learning (DRL) within Cyber-Physical Systems (CPSs).

Dr. Lu Laijun is a distinguished scholar from China, holding a Doctoral degree in Mathematical Geosciences and Mathematics & Systems Science. He currently serves as a Professor, Doctoral Supervisor, and Chief Scientist at the Digital Earth Research Center, Jilin University. Over his career, he has published nearly 100 research papers, authored six monographs, and holds six patents and copyrights. His contributions to science have been recognized with six national and local awards in China, and he was honored as the 2012 Science Chinese Person. In addition to his primary role, Dr. Lu holds several part-time positions at leading institutions across China. He serves as Chief Expert of the Jiangxi Nuclear Geology Data Science and Engineering Technology Research Center, Director of the Quantum Earth Science Center at Chengdu University of Technology, and Professor at both the Institute of Environmental Health, China Medical University, and Shenyang Normal University. He is also Chief Scientist at the Nanoquantum Earth Science Research Center, Xingtai University, and Professor of Electronic Information Engineering at Shenyang University of Aeronautics and Astronautics.

Abdulghani Ali Ahmed is a Senior Lecturer in Cybersecurity at De Montfort University, UK, and a Visiting Senior Lecturer at Staffordshire University. He holds a PhD in Network Security from Universiti Sains Malaysia and is a Senior Member of IEEE as well as a Senior Fellow of the Higher Education Academy (SFHEA). Dr Ahmed currently serves as Course Leader for the MSc Cybersecurity programme and brings over 18 years of academic experience gained across the UK, Malaysia, and the Middle East. His research expertise spans IoT authentication and security, big data privacy, cloud and network security, malware analysis, digital forensics, and cybercrime investigation. He has successfully secured several national and international research grants, including funding from Innovate UK. Dr Ahmed is the founder and principal investigator of PrivacyEye, an AI-driven platform designed to mitigate harmful multimedia sharing among children. He has published widely in high-impact journals and conferences and is a regular invited and keynote speaker at international forums.

Pascal Lorenz received his M.Sc. (1990) and Ph.D. (1994) from the University of Nancy, France. He is a professor at the University of Haute-Alsace, France, since 1995. His research interests include QoS, wireless networks, and high-speed networks. He is the author/co-author of 3 books, 3 patents, and over 200 international publications. Prof. Lorenz has held numerous leadership roles in IEEE ComSoc, including Chair of various technical committees, editorial positions, and organizing major conferences such as IEEE WCNC, ICC, and Globecom. He is an IEEE senior member, IARIA fellow, and has served as IEEE ComSoc Distinguished Lecturer (2013–2014).

Friedhelm M. Jöge, born in 1943, worked in a scientific laboratory after studying chemistry and mathematics textbooks at a young age and after studying chemical engineering. He then worked in development departments in the chemical and phamaceutical industries. The focus of his work was in the field of biochemistry and macromolecular chemistry. His interest are the synopsis of various physical, chemical and biologycal knowledge as well as questions of origin of life and ethics in the field of tension between faith and science. In particular, he dealt with the concept of information. He is married, has a daughter and three Grandchildren. He also loves music and chess.

Dr. Thando Nkohla-Ramunenyiwa (PhD) is an interdisciplinary researcher and academic with a strong foundation in philosophy, gained through both her undergraduate and postgraduate studies. Over time, her scholarly interests expanded into interdisciplinary research, particularly at the intersection of Artificial Intelligence, ethics, and philosophy within the African context. This academic orientation has enabled her to apply philosophical perspectives in collaborative research across diverse disciplines. One example of this integration is her publication, “Gendered Inequality on Digital Labour Platforms in the Global South: Towards a Freedom-Based Inclusion.” Additionally, her recent work, “Teaching Ethics of Artificial Intelligence: When Lyrics Pitch an Inclusive Melody for Interdisciplinary Assessments,” offers an inclusive teaching framework for lecturers working with interdisciplinary student groups. Dr. Nkohla-Ramunenyiwa continues to find meaningful purpose in exploring philosophical dimensions within interdisciplinary research, noting the value it brings both to her work and to the scholars she collaborates with.

Semion Polinov is a Geospatial Information Scientist who specializes in ocean and coastal observation, focusing on the application of remote sensing, GIS technologies, and machine learning for maritime environmental protection. He earned his B.A. and M.A. in Geography and Environmental Studies from the University of Haifa and his Ph.D. from the Department of Marine Geosciences at the University of Haifa in 2023. His research career includes work at the Technion—Israel Institute of Technology and the Coastal and Marine Engineering Research Institute (CAMERI), where he has focused on monitoring marine environments, particularly in the Mediterranean Sea. His work has addressed issues such as sea surface pollution, especially oil spills, and the use of unmanned systems like AUVs, USVs, and drones for monitoring. He won an award from the Israel Society of Ecology and Environmental Studies in 2021 for the best paper of the year on the spatial and temporal assessment of oil spills in the Mediterranean Sea. Additionally, he has participated in EU-funded research projects.

Robert Moskovitch is the head of the Complex Data Analytics Lab as a member of the Faculty of Computer and Information Science at Ben Gurion University, Israel. He is also an adjunct facultymember at the Department of Population Health Science and Policy at Ichan Medical School at Mount Sinai, NYC, USA. Before his postdoc fellowship at the Department of Biomedical Informatics at Columbia University in NYC, he headed several R&D projects in Information Security at the Deutsche Telekom Innovation Laboratories. He is an Associate Editor at the ACM Transactions on Knowledge Discovery from Data (TKDD) journal, Big Data journal, and was Academic Editor at PLOS ONE, and he is on the editorial board of the Journal of Biomedical Informatics (JBI), and served on other journal editorial boards. He is the elected Vice Chair of the Board of the Artificial Intelligence in Medicine (AIME) Society and was the general co-chair of the international conference on Artificial Intelligence in Medicine (AIME) 2024. He serves on program committees of conferences, such as Area Chair at ACM KDD Research Track, IJCAI, AAAI, ICDM, AIME, and more, and workshops in Biomedical Informatics and Information Security. He co-edited special issues at JASIST, JBI, JAIR, and AIMJ. He published more than a hundred refereed papers in leading journals and conferences, such as IEEE ICDM, SDM, AAAI, DMKD, ACM TKDD, JAIR, Information Sciences, JAMIA, JBI, AMIA, and AIME. His lab focuses mainly on temporal data analytics and generally data mining and machine learning, as well as its use and applications in biomedical, security, sports, and other domains.

At smartR AI, Oliver King-Smith spearheads innovative patent applications harnessing AI for societal impact, including advancements in health tracking, support for vulnerable populations, and resource optimization. Their alertR invention aims to enhance independence and quality of life. smartR AI specializes in providing safe private models, that manage risk, while providing high reward. Their most recent addition to the stable is SCOTi® AI– your loyal AI pal, a generative AI application. Their models are specifical trained for every client, they work naturally with people to enhance and optimize productivity, and reveal previously unseen insights from vast data pools. Throughout his career, Oliver has been dedicated to developing cutting-edge technology to address challenges, and today smartR AI is committed to providing safe AI programs within your own secure and private ecosystems. As a serial entrepreneur, he has founded three companies and contributed to two successful exits. Recognized as “Best Global Life Science AI Solutions Provider – UK 2022” by Corporate Vision and “AI Solutions Provider of the Year 2023” by Corporate Livewire, smartR AI, under Oliver’s leadership, has grown to over 20 team members, focusing on integrating sensors and AI to tackle emerging challenges. Oliver holds a PhD in Mathematics from UC Berkeley and an executive MBA from Stanford. He’s an innovator with expertise in Data Visualization, Statistics, Machine Vision, Robotics, and AI. Oliver’s entrepreneurial spirit extends to supporting startups and serving on the Board of Directors for Eco-Panels and Elemental Breath.

Sparsh Jindal is an AI/ML Developer – Manager at Jagatjit Industries Limited, India, where he leads initiatives in artificial intelligence, machine learning, and automation to optimize business operations and decision-making. He is the founder of CodeSimplr.com, a platform designed to simplify programming and AI/ML concepts for learners and professionals, with a focus on practical and scalable applications. He earned his Master of Management in Business Data Analytics from the University of Windsor, Canada, and a Bachelor of Technology in Information Technology from Maharaja Agrasen Institute of Technology, India. Previously, he worked with Accenture Canada, gaining valuable experience in artificial intelligence solutions with one of the world’s leading providers of LLM technologies.

Professor Bruckstein is a member of the AMS, and the MAA, and is a IEEE Fellow for contributions to Signal Representation and Swarm Robotics, a SIAM Fellow for contributions to Signal Processing, Image Analysis, and Ant Robotics, and received SIAM’s 2014 SIAG-Imaging Science Prize (with David Donoho and Michael Elad, for the paper “From Sparse Solutions of Systems of Equations to Sparse Modeling of Signals and Images”), as well as IEEE’s Signal Processing Society’s 2018 Sustained Impact Paper Award for the K-SVD Dictionary Design (jointly with Michal Aharon and Michael Elad). He received an Honorary Doctorate from Agora University in Oradea, Romania, and was elected a Fellow of CORE Academy of Science and Humanities, of the Industry Academy of the AIIA, and a Fellow of the Asia-Pacific AI Association. He was also honored with a Lifetime Achievement Award by the Indian Data Science Society, in 2021.

Yilun Shang received his B.S. and Ph.D. degrees in Mathematics from Shanghai Jiao Tong University.He is currently an Associate Professor of Computer Science at Northumbria University. He is the Head of Subject for Data Science and Artificial Intelligence. His research interests include complex networks and systems, probability and analysis, algebra and combinatorics, algorithms and optimization, data science and artificial intelligence.

Suresh Kaswan, IEEE-Senior Member, ISTE Advisor, Professor and HoD-CSE, Chandigarh University- India. He is PhD, M.Tech, B.Tech in Computer Science & Engineering having more than 20 Years of Experience in Technology Teaching, Administration, Education Management & Accreditation Evaluation Process, NAAC, NBA, NIRF, Coordinator-IQAC, Convener and Organizer of National and International Conferences- ITIDS2024, SCMAI2025, FDPs, Curriculum Development with Industry Association, Innovate & Implement Job Readiness Program, Industry-Institution Partnership Delivery, Industry-Academia Collaborated Research, Consultation & Training. He is Organizer of 5 international conference with Russia, Springer, CSI, T&F etc. He has delivered many invited/key notes talks at International & National Conferences/ Workshops/Seminars. He has published more than 45 papers in SCI, Scopus, WOS, peer reviewed international/national journals and conferences. He has also published number of books and book chapters in reputed publications like Springer, Bentham & IGI.

Professor Emeritus Yvan Baudoin is the former Head of the department of Mechanical Engineering and former Executive Director of the Unmanned Vehicle Centre (http://mecatron.rma.ac.be) at the Belgian Royal Military Academy (RMA) Yvan has an extensive experience in coordinating large consortia at the international level such as the IARP working groups HU(manitarian)DEM(ining) (22 partners), RI(sky)S(urveillance)E(nvironment) (18 partners), the NATO/STO/ TG 175 focusing on intelligent assistance for autonomous vehicles (23 partners). He coordinated a EUREKA project (E!3517 – Towards a European Network of Environmental Engineering Sciences and Techniques) in which 164 SMEs and Academic Institutions from across Europe participated). He was also Co-Coordinator of the FP7-TIRAMISU (www.fp7-tiramisu.eu) project and Liaison Officer in the FP6 View-Finder project (more than 32 Fire-Fighting/Civil Protection Services in Europe). He has been nominated as vice-chair of the IMEKO TC17 (October 2018)

Sofía Blanco-Moreno is a Marketing and Tourism expert with a specialization in Digital Marketing and technologies such as Web Scraping and Artificial Intelligence (Machine Learning and Deep Learning) applied in Tourism and Hospitality. She is also a PhD student and an assistant professor at the University of León (Spain), and she has worked as a Digital Marketing expert on international companies such as Meliá Hotels. She has received several research awards, such as the best communication at the AIRSI and AIM 2023 conferences, I UAM-ASSECO Business Case Award 2022 and "Proof of concept" within the University-Business Knowledge Transfer Plan for the platform Photo Data Tour Analytics

Shervin Vakili joined the Énergie Matériaux Télécommunications Research Centre at the Institut National de la Recherche Scientifique (INRS-EMT) as an Assistant Professor in February 2022. He received his Ph.D. in computer engineering from Polytechnique Montréal, Canada, in 2014. Following his Ph.D., he pursued research in computer architecture as a postdoctoral fellow, research associate, and professional researcher at Polytechnique Montréal and École de Technologie Supérieure in Montréal for over five years. He has extensive experience in designing ASIC- and FPGA-based computer architectures for applications in artificial intelligence, telecommunications, and computer networks. Dr. Vakili founded and currently directs the Edge Computing, Communication, and Learning (ECCoLe) lab at INRS-EMT. His research interests include high-efficiency computer architectures, machine learning for wireless signal processing, machine learning hardware, and edge computing.

Preeti Meena received the B.Tech. degree from MANIT Bhopal, India, M.Tech. degree from IIT Indore, India, and Ph.D. degree from IIT Jodhpur, India. I am currently working as a researcher in L2S, CentraleSupélec, France. I have served as an Advisory Committee and Program Committee member for several international conferences. I also served as the Secretary of IEEE Delhi Section and Rajasthan Subsection, IEEE Systems Council Joint Section Chapter and Vice Chair of IEEE Delhi Section and Rajasthan Subsection, IEEE Aerospace and Electronic Systems Society (AESS) Joint Section Chapter.