Organizing Committee

Binshan Lin is the BellSouth Endowed Professor in College of Business at Louisiana State University Shreveport (LSUS).  He received Ph.D. from the Louisiana State University in 1988. Currently he serves as Director of Research in College of Business at LSUS. Dr. Lin is a nine-time recipient of the Outstanding Faculty Award at LSUS and the recipient of the LSUS Provost’s Award in 2022. He received the Computer Educator of the Year by the International Association for Computer Information Systems (IACIS) in 2005, Ben Bauman Award for Excellence in IACIS 2003, IACIS Directors’ Award in 2012, Distinguished Service Award at the Southwest Decision Sciences Institute (SWDSI) in 2007, Outstanding Educator Award at the SWDSI in 2004, and Emerald Literati Club Awards for Excellence in 2003. Dr. Lin has published over 290 research articles in refereed journals. His research interests include Business Intelligence, Data Analytics, Data Sciences, Informatics, Machine Learning and Operations Management.  Currently he serves as Editor-in-Chief of Machine Learning with Applications. He served as President of Southeast Decision Sciences Institute (2023-2024), President of SWDSI (2004-2005), Program Chair of IACIS Pacific 2005 Conference, Program Chair of Management International Conference (MIC) 2006, General Chair of MIC Conference (2007 and 2008). In addition, Dr. Lin serves as Program Chair of Technology Innovation and Industrial Management (TIIM) International Conference 2009, Conference Director of TIIM Conference (2010-2016, 2020), and Conference Director of MakeLearn International Conference (2012-2016, 2020). Dr. Lin also served as a vice president (2007-2009; 2010-2012) of Decision Sciences Institute (DSI).

Omar Abdullah Omar AlHazza Al-Shehri is an accomplished academic in the field of educational technology and e-learning, currently serving as an Associate Professor in the Department of Educational Technology at the University of Bisha, Saudi Arabia. He earned his Ph.D. in E-Learning from the University of Glasgow, UK, in 2021, following a Master’s degree in Educational Technology from Eastern Washington University, USA, in 2014. He also holds a General Diploma and a Bachelor’s degree in Education from King Khalid University.

Jinhao Liang is currently a Research Fellow with Department of Civil and Environmental Engineering, National University of Singapore, Singapore. He received his Ph. D degree from Southeast University, in 2022. His research interests have focused on the learning-based control, trustworthy AI technology for autonomous driving, intelligent vehicle control, and connected and automated vehicles, etc. Moreover, Dr. Jinhao liang has published more than 80 papers in Journals and proceedings of international conferences. He won the Leading Prize for Autonomous Emergency Braking (AEB) assistance system at the 1st World Intelligent Driving Challenge. He also serves as a member of the international program committee for the 2024 International Conference on Automation and Intelligent Technology and the session chair for the 6th International Conference on Advances in Signal Processing and Artificial Intelligence.

Ushba Rasool is a Research Scientist and Teacher at Zhengzhou University, China, specializing in Applied Linguistics. She holds a PhD in Applied Linguistics and has extensive academic and professional experience in language teaching, research, and curriculum development. Her research focuses on language acquisition, written corrective feedback, educational psychology, and the integration of technology in language learning. Dr. Rasool has published numerous articles in SSCI, SCIE, and ESCI-indexed journals and has actively contributed to international conferences and academic collaborations. With over a decade of experience in academia and language training, she has taught at various institutions in China and Pakistan, mentoring students and delivering courses in linguistics and communication skills. She is also actively involved in academic service, student mentoring, and international academic communities.

Jay Lee is a distinguished academic and researcher affiliated with the University of Maryland (UMD). His work focuses on advanced technologies in artificial intelligence, smart manufacturing, and industrial analytics. With extensive experience in both academia and industry, he has contributed significantly to the development of intelligent systems and data-driven solutions. Dr. Lee is widely recognized for his leadership in innovation, interdisciplinary research, and his commitment to advancing next-generation engineering and technology applications.

Marco Valeri is Associate Professor at Niccolò Cusano University, Italy. He is Lecture in Applied Organizational Behaviour at Xenophon College, UK. He is Visiting Professor at University of Information Science and Technology (UIST) “St. Paul The Apostle”, Macedonia. He is Adjunct Professor at Taylor’s University, Malaysia. He is Adjunct Professor at Lovely Professional University (LPU), India.  He is Associate Researcher in Strategy, Magellan Research Center, School of Management, Iaelyon Business School, Jean Monet University, Lyon (France). He is a Lecturer in Strategies and Organizational Culture in Tourism at Comenius University, Slovak Republic, Lecturer in Leadership across Culture at University of Economics in Katowice, Poland and Lecturer in Beyond Leadership: Governing Institutions at Pontifical Gregorian University, Italy. He is Honorary Associate Professor, University of Pannonia, Hungary. His research areas include sustainability and green practices, strategy implementation, knowledge management, family business, crisis management, information technology, network analysis. He is member of several editorial boards of international tourism journals, reviewer and editor of several handbooks on entrepreneurship, organizations studies, tourism and hospitality management.

Mazhar Abbas did his Post-Doc from the School of Management (USM, Malaysia, AACSB) and PhD from the School of Technology and Logistics Management (STML), Universiti Utara Malaysia (AACSB Accredited). His main research interests include consumer behaviour, green marketing, technology management, business innovation, services marketing, general management and brand marketing. Dr.Mazhar hold an MBA from COMSATS University Islamabad, known as CIIT Vehari. His previous qualification includes a BBA (Bachelor of Business Administration) from UCP, Lahore. Dr.Mazhar joined UUM as an International Lecturer (Senior) in STML. During his teaching career, he have supervised MS, MBA and BBA students’ research thesis and research projects. Furthermore, he have published over 55 research papers in ABDC ranked, SSCI, ESCI, Scopus, and HEC-recognized journals on his credit. His overall scopus h-index is 15, WoS h-index is 13 and google scholar citations are 2200, and his h-index is 22. Notably, he have published in the Asia Pacific Journal of Marketing & Logisics, International Journal of Project Management (Elsevier) (ABDC), Computers & Education (Elsevier) (ABDC), Online information review (Emerald), Frontiers Psychology, Sage Open, Current Psychology (Springer), Sustainability MDPI, Journal of Applied Research in Higher Education (Emerald), and Journal of Public Affairs (Wiley). Some of his research work has been published as a couple of book chapters from Springer Nature. He have attended and presented his research work in Malaysia, Saudi Arabia and Pakistan.

M. A. Hannan is a Distinguished Professor of Intelligent Systems in Energy and Power Applications at Sunway University, Malaysia. He is a Coordinating Lead Author (CLA) for the UN IPCC WG III AR7 and serves as Adjunct Professor at Korea University and Visiting Professor at Universiti Tenaga Nasional. His research focuses on intelligent energy systems, renewables integration, energy storage, smart grids, energy management, and power electronics. He is a Clarivate Highly Cited Researcher (2022 & 2023) in Engineering, with over 400 publications, 25,000+ Scopus citations (H-index 74) and 33,000+ Google Scholar citations (H-index 87). He has secured AUD 8.2M in research funding and supervised numerous postgraduate researchers. Prof. Hannan actively leads national and international research collaborations and serves in editorial and professional roles within IEEE and other organizations.

Ram Gupta is an Associate Vice President for Research and Support and a Professor of Chemistry at Pittsburg State University. Stanford University has recently named Gupta as being among the top 2% of research scientists worldwide. Before joining Pittsburg State University, he worked as an Assistant Research Professor at Missouri State University, Springfield, MO then as a Senior Research Scientist at North Carolina A&T State University, Greensboro, NC. Dr. Gupta’s research spans a range of subjects critical to current and future societal needs including: semiconducting materials & devices, biopolymers, flame-retardant polymers, green energy production & storage using nanostructured materials & conducting polymers, electrocatalysts, optoelectronics & photovoltaics devices, organic-inorganic heterojunctions for sensors, nanomagnetism, biocompatible nanofibers for tissue regeneration, scaffold & antibacterial applications, and bio-degradable metallic implants. Dr. Gupta has mentored 10 PhD./Postdoc scholars, 76 MS students, and 58 undergraduate/high school students. Dr. Gupta has published over 380 peer-reviewed journal articles (13,400+ citations, 63 h-index, 280 i10-index), made over 500 national/international/regional presentations, chaired/organized many sessions at national/international meetings, wrote several book chapters (120+), worked as Editor for many books (50+) for American Chemical Society, CRC, Springer, Elsevier, etc. and received several million dollars for research and educational activities from external agencies.  He is also serving as Editor, Associate Editor, Guest Editor, and editorial board member for various journals.

Xenia J. Mamakou is a faculty member in the Department of Business Administration at the Athens University of Economics and Business (AUEB) and an active member of the Business Informatics Laboratory (BILab). She earned her BSc (Hons) in Business Administration from AUEB, an MSc with Distinction in Business Information Technology from the Department of Computation at the University of Manchester Institute of Science and Technology (UMIST) in England, and a PhD in Information Systems from AUEB. Dr. Mamakou has been involved in various research projects and has extensive experience teaching both undergraduate and postgraduate courses. She has published numerous papers in high-quality academic journals and conferences and she has received teaching and best paper awards. Her primary research interests lie in the areas of business analytics, digital transformation, information systems, and project management.

Parikshit is a senior member IEEE and is Professor, Dean Academics at Vishwakarma Institute of Technology, Pune, India. Prior to this, he worked as a Dean - Research and Development at VIT, Dean - Research and Development and Head - Department of Artificial Intelligence and Data Science at Vishwakarma Institute of Information Technology, Pune, India and Professor, Head, Department of Computer Engineering at Sinhgad Institutes. He completed his Ph. D from Aalborg University, Denmark in 2013 and completed his Post Doctoral Research at CMI, Copenhagen, Denmark. He is also Post Doctoral Fellow at university of maría Auxiliadora. He has 25 years of teaching and research experience. He is an ex-member of the Board of Studies in Computer Engineering, Ex-Chairman Information Technology, Savitribai Phule Pune University, Member – BoS and academic council member at more than 30 Universities and autonomous colleges across India. He has 117 patents, 440+ research publications (Google Scholar citations-4580 plus, H index-30 and Scopus Citations are 2400 plus with H index -23, Web of Science citations are 625 with H index - 12) and authored/edited 82 books with Springer, CRC Press, Cambridge University Press, etc. He is editor in chief for Research Journal of Computer Systems and Engineering (RJCSE), Associate Editor for IGI Global - Journal of Affective Computing and Human Interfaces (JACHI), member-Editorial Review Board for IGI Global – International Journal of Ambient Computing and Intelligence and reviewer for various transactions, journals and conferences of the repute. His research interests are Machine Learning, Data Science, Algorithms, Internet of Things, Identity Management and Security. He is guiding 8 PhD students in IoT and machine learning and EIGHT students have successfully defended their PhD under his supervision from SPPU and Three students completed Postdoc under his mentorship from NTU, Taiwan. He is also the recipient of “Best Faculty Award” by Sinhgad Institutes and Cognizant Technologies Solutions, International Level S4DS distinguished Researcher of the Year 2023 and State Level Meritorious Teacher Award and Distinguished Research Guide Award at IEEE ICTBIG 2024, organised by Symbiosis University of Applied Sciences (SUAS), Indore. He has delivered 400 plus lectures at national and international level. His book on Design and Analysis of algorithms is referred as Textbook in IIITs and NITs and his book on Data Analysis on Pandemic by CRC press has received two international awards in 2020. His edited title, ‘Data Science: Techniques and Intelligent Applications’, has been awarded the prestigious Choice Outstanding Academic Titles Award for 2024. He is also Certified ISO 27001:2022 Lead Auditor. He has also worked as an Invited Guest faculty at several international universities like UMA, Lima Peru in South America, National Taipei University Taiwan etc. He visited 24 countries till date for various academic and research collaborations.

Mujeeb Ur Rehman is an experienced academic with more than 10 years of teaching and research experience at prestigious institutions, including De Montfort University (UK), University of Glasgow (UK), and York St John University (UK), among others. He is recognised in the Stanford/Elsevier “World’s Top 2% Scientists” (2025). He is a Senior Fellow of the Higher Education Academy (SFHEA), a Senior Member of IEEE, and a Professional Member of BCS, he actively contributes to the academic and research community. He has supervised numerous PhD, MSc, and undergraduate students in their dissertations and has published over 60 research papers in leading international journals such as IEEE Transactions, IET Transactions, and Elsevier, as well as in peer-reviewed international conference proceedings. In 2022, he was endorsed as a Global Talent in Artificial Intelligence and Cyber Security by the Royal Academy of Engineering (UK). He has also received several best paper awards at international conferences. Academically, he earned a Gold Medal in his MS (Engineering) degree and a Distinction in his BS (Engineering) degree. In addition to his academic achievements, he is a member of the Talent Peer Review College at UKRI, and the National Institute for Health and Care Research (NIHR), where he evaluates funding applications and contributes to shaping research directions. Furthermore, he has successfully led and collaborated on multiple internationally funded research projects, securing over £1.8 million in competitive grants both within the UK and internationally.

Anas Bilal is a dedicated researcher and professional committed to advancing knowledge and innovation in his field. He actively contributes to academic and professional initiatives, fostering collaboration and the application of emerging technologies. Bilal is also an active member of the Institute of Electrical and Electronics Engineers (IEEE), the IEEE Computer Society Technical Community on Computer Architecture, and IEEE Young Professionals. His dynamic leadership and research-driven approach continue to support advancements in technology and engineering.

João Manuel R. S. Tavares graduated in Mechanical Engineering from the Universidade do Porto, Portugal, in 1992. He also obtained his M.Sc. degree and Ph.D. degree in Electrical and Computer Engineering from the same university in 1995 and 2001, respectively, and received his Habilitation in Mechanical Engineering in 2015. He is a senior researcher at the Institute of Science and Innovation in Mechanical and Industrial Engineering (INEGI) and a Full Professor at the Department of Mechanical Engineering (DEMec) of the Faculdade de Engenharia da Universidade do Porto (FEUP). Since June 2023, he has been serving as the Head of DEMec. João Tavares has made significant contributions to his field, serving as co-editor of over 90 books and co-authoring more than 50 book chapters and 650 articles in international and national journals and conferences. He also holds 3 international and 3 national patents. His editorial roles are extensive; he is a committee member for numerous international and national journals and conferences, co-founder and co-editor of the "Lecture Notes in Computational Vision and Biomechanics" series published by Springer, founder and Editor-in-Chief of "Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization" published by Taylor & Francis, and Editor-in-Chief of "Computer Methods in Biomechanics and Biomedical Engineering," also published by Taylor & Francis. Furthermore, he is a co-founder and co-chair of several international conference series, including the International Symposium on Computational Modeling of Objects Presented in Images, the ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing, the International Conference on Computational and Experimental Biomedical Sciences, and the International Conference on Biodental Engineering. João Tavares has also (co-)supervised numerous MSc and PhD theses and supervised several post-doctoral projects, participating in many scientific projects as both a researcher and scientific coordinator. His research focuses on computational vision, medical imaging, biomechanics, biomedical engineering, and new product development.

Safawi Abdul Rahman (PhD) is an Associate Professor at the Faculty of Information Science, Universiti Teknologi MARA (UiTM), Malaysia. His academic and research journey has been dedicated mainly to advancing the fields of Decision Support Systems, Knowledge Management, Information Systems, and the study of Intelligent Problem-solving Behaviors. He used to secure a knowledge management’s consultancy project from a Malaysian-based GLC worth more than 1 million (Malaysian currency). He is also actively publishing nearly 100 scholarly articles as the main author, corresponding author, and co-author in reputable journals and contributing to the academic community through various editorial and reviewing roles in reputable journals such as Journal of Fog Computing (IGI Global), Behaviour & Information Technology, Interactive Learning Environments and Reflective Practice (Taylor & Francis).

Mu-Yen Chen is a Distinguished Professor in the Department of Engineering Science at National Cheng Kung University (NCKU), Taiwan. Recognized in the World Top 2% Scientists (Stanford List), he is an influential researcher in AI, machine learning, soft computing, data mining, and intelligent systems. He has published over 200 scientific papers and serves as Associate Editor for Computers in Human Behavior – Artificial Humans, IEEE Access, and Applied Soft Computing, as well as Department Editor for IEEE Transactions on Engineering Management. Prof. Chen is widely known for his contributions to intelligent computing and continues to play a key role in advancing research and international collaboration.

Yichuan Wang is a Senior Lecturer/Associate Professor in Digital Marketing at Sheffield University Management School. Prior to joining SUMS, he worked for Newcastle University Business School and Auburn University (USA). He is a multi-disciplinary researcher, working mostly across marketing, information systems and healthcare. Yichuan is the author or co-author of over 100 publications, attracting in excess of 6,000 citations (Google Scholar). His research has appeared in ABS 4-indexed journals including British Journal of Management, Social Science & Medicine, International Journal of Operations & Production Management.

Xi Chen is the Senior Principal Engineer at the China Electric Power Research Institute, Beijing, China. He received his Ph.D. in Electronic and Information Engineering from The Hong Kong Polytechnic University. Dr. Chen has extensive experience in both academia and industry, having held research and leadership roles within the State Grid Corporation of China and its international branches. His work focuses on artificial intelligence applications in power systems, smart grids, smart EV charging, and complex networked systems. He currently serves as Chair of the IEEE Computational Intelligence Society Standards Committee and Chair of the IEEE Technical Committee on Power and Energy Circuits and Systems, and Associate Editor for several leading journals, including IEEE Transactions on Wireless Communications and IEEE Systems Journal. He has authored over 110 technical publications and multiple books. He is a Fellow of the IET.

Lv Xiaojing is a tenure-track faculty member (currently Associate Professor) at the China-UK Low Carbon College, Shanghai Jiao Tong University, where she focuses on advanced energy power systems and low-carbon technologies. Her research areas include gas turbine and fuel cell hybrid systems, low-carbon combustion and energy system simulation and experiments, as well as intelligent energy systems. She completed her Ph.D. in Power Engineering and Engineering Thermophysics at Shanghai Jiao Tong University and has held postdoctoral and academic visitor positions, including at the University of Cambridge and the University of Bath in the UK. Dr. Lv has published multiple scientific articles in energy engineering and hybrid energy systems and has participated in research funded by national and regional science foundations.

Simona Curiello  is a researcher and PhD candidate in Economic Sciences at the University of Foggia, Italy, where her work focuses on the adoption and governance of artificial intelligence systems in healthcare, digital health policy, decision sciences, and innovation management. Her doctoral thesis, Beyond the Algorithm: Exploring Risk, Trust, and Value in the Adoption of AI-Driven Clinical Decision Support Systems, positions her at the intersection of technology, ethics, and organizational decision-making.In 2025, she completed a six-month visiting research period at the University of Southampton, Department of Digital Health and Bioengineering (UK), under the supervision of Prof. Adriane Chapman and Prof. Jeremy C. Wyatt, where she contributed to research on AI adoption frameworks and risk-based evaluation of digital health technologies.Simona is the author of several peer-reviewed publications in leading international journals, including BMC Medical Ethics, Clinical Medicine, and the European Journal of Innovation Management. Her research has been presented at major international conferences, including EURAM and EISIC. She holds an MSc in Marketing Management and a BSc in Business Studies, both awarded with the highest distinction (110/110 cum laude) from the University of Foggia. She is also a lecturer within Italy's National Recovery and Resilience Plan (PNRR) and an active contributor to academic discourse on AI governance and digital transformation.

Brigitte Jaumard is a Professor and researcher at Concordia University, widely recognized for her contributions to optimization, computer science, and engineering. She has an extensive academic career marked by impactful research, teaching excellence, and strong leadership in graduate education. Her work primarily focuses on mathematical optimization, network design, algorithm development, and their applications in communication networks, healthcare systems, and large-scale engineering problems. Professor Jaumard has authored and co-authored numerous peer-reviewed journal articles, conference papers, and book chapters, contributing significantly to both theoretical advancements and practical applications of optimization techniques. Her research is known for bridging rigorous mathematical foundations with real-world problem solving, making her work highly relevant across interdisciplinary domains. She has collaborated with researchers and institutions worldwide, strengthening international research partnerships and knowledge exchange.

Daniele D. Giusto is full professor of telecommunications at the University of Cagliari, Italy, since 2002. He is the recipient of an IEEE Chester Sall paper award (1998) and of the AEI Ottavio Bonazzi best paper award (1993). He was the Italian Head of Delegation in the ISO-JPEG committee from 1999 to 2018, and was the Italian Head of Delegation in the ISO-Smart Cities committee since its foundation (2016) to 2022. His research interests are in the area of smart cities, sensor networks and IoT, mobile and professional networks, digital media.

OBADA AL-KHATIB received the B.Sc. degree (Hons.) in electrical engineering from Qatar University, Qatar, in 2006, the M.Eng. degree (Hons.) in communication and computer from the National University of Malaysia, Bangi, Malaysia, in 2010, and the Ph.D. degree in electrical and information engineering from The University of Sydney, Australia, in 2015. From 2006 to 2009, he was an Electrical Engineer with Consolidated Contractors International Company, Qatar. In 2015, he joined the Centre for IoT and Telecommunications, The University of Sydney, as a Research Associate. Since 2016, he has been an Assistant Professor with the School of Engineering, University of Wollongong in Dubai, United Arab Emirates. His current research interests include optimization and performance analysis of wireless networks and systems, the IoT applications, mobile edge computing, and AI for signal processing.

Ab Al-Hadi Ab Rahman obtained his Ph.D. degree from the École Polytechnique Fédérale de Lausanne, Switzerland. He has been actively involved in hardware and SoC design for ASIC and FPGA systems implementation for more than 20 years, mainly with applications in video coding and machine learning. He has authored and co-authored more than 80 journal and conference papers, with contributions to developing new design methodologies, automated tools, and techniques for high-performance and low-power systems. From 2018 to 2020, he was a research engineer at Mediatek Singapore, working on machine learning methodologies in physical design. He is also a senior member of IEEE and holds the PEng certification from BEM. Currently, he is an associate professor at Universiti Teknologi Malaysia.

Dongyi Kong is a Researcher and Principal Investigator at the Urban & Tourism Research Center, Institute of Geography, Henan Academy of Sciences, China. His research centers on cultural landscapes, applied historical geography, and heritage conservation and management. He specializes in digital heritage, integrating AIGC and GIS technologies to develop cultural landscape digitization platforms. His work also advances heritage-led urban and territorial regeneration strategies. He received his Ph.D. in Geography from the University of Bonn (2021) and previously served there as a Research Associate in Historical Geography (2018–2023). He holds an M.Sc. in Urban Planning from Bauhaus-Universität Weimar and a B.Eng./B.A. in Urban Planning from Beijing Forestry University. Through interdisciplinary and practice-oriented research, he promotes innovative digital-intelligence pathways for sustainable cultural landscape governance, including projects in the Heluo cultural region.

Mariel Alfaro Ponce is an Assistant Professor in the Biomedical Engineering Program at Tecnológico de Monterrey, Mexico City Campus, where she is a member of the Institute of Advanced Materials for Sustainable Manufacturing. She holds an interdisciplinary academic background with a Bachelor’s degree in Biomedical Engineering, a Master’s degree in Microelectronic Engineering, and a PhD in Computer Science. Her academic and research work focuses on applied artificial intelligence, intelligent bioinstrumentation, and rehabilitation technologies, with particular emphasis on the development of intelligent systems for biomedical and advanced manufacturing applications. She is a member of Mexico’s National System of Researchers (SNI, Level I) and currently serves as an Associate Editor for IEEE Latin America Transactions. In addition, she is a co-founder of ProForms Dynamics, a technology-based startup incubated at Tecnológico de Monterrey, dedicated to the development of prostheses, orthoses, and osteofixation implants for small animals, equines, and humans. She is the author of three granted patents and has three additional patent applications under review.

Giuseppe D’Albis is a dental researcher and academic associated with the University of Bari Aldo Moro, Italy. His expertise covers periodontology, dental prosthesis, implant dentistry, oral surgery, bone regeneration, dental materials, and digital dentistry. He earned his dentistry degree from the Universidad Europea de Madrid and completed several postgraduate master’s programs in oral surgery, implantology, periodontology, prosthodontics, and digital dental technologies at leading Italian institutions. Dr. D’Albis has contributed to scientific research focusing on artificial intelligence in dental implant planning, periodontal health, and digital workflows in oral rehabilitation, while actively participating in academic teaching and clinical research initiatives.

Wudhichai Assawinchaichote is a researcher and academic in electrical and electronic engineering at King Mongkut’s University of Technology Thonburi (KMUTT), Thailand. He serves in the Department of Electronic and Telecommunication Engineering and has held leadership roles, including Head of Department. He earned his B.Eng. (Hons) from Assumption University, Thailand, M.S. from Pennsylvania State University, USA, and Ph.D. from the University of Auckland, New Zealand. His research interests include fuzzy control, robust control, system theory, Markovian jump systems, and filtering techniques, with applications in energy systems, biomedical engineering, and advanced control system design, alongside teaching and scholarly publishing.

Hassan Naanani is a PhD researcher at the Laboratory of Materials, Sustainable Energy, and Technology (LIMSET) at Mohammed VI Polytechnic University (UM6P), Morocco. His research focuses on integrating Digital Twin and Artificial Intelligence technologies into sustainable energy systems, especially hydrogen production and safety. He has contributed to scientific publications on hydrogen energy, predictive monitoring, and digital modeling techniques. His work involves machine learning, optimization methods, and real-time monitoring frameworks to enhance hydrogen production and storage efficiency. Dr. Naanani also develops digital performance monitoring systems for hydrogen pilot plants and participates in collaborative research on sustainable energy and energy-transition technologies.

Flora Amato is an Italian computer scientist and associate professor at the University of Naples Federico II. She works in the Department of Electrical Engineering and Information Technologies. Her research focuses on artificial intelligence, machine learning, deep learning, and big data analytics. She earned a PhD in Computer and Control Engineering at the same university. Her scientific activity includes knowledge representation, data mining, text analysis, and intelligent systems. She teaches undergraduate and graduate courses in computer science and artificial intelligence. She has authored numerous international publications, collaborates with research groups worldwide, and participates in national and European research projects actively.

Mohammad Fawzi Ahmad Al-Hammouri is a Jordanian academic and computer engineering researcher at The Hashemite University in Zarqa, Jordan. He serves as an Assistant Professor in the Faculty of Engineering, Department of Computer Engineering. He earned his PhD from the University of Ottawa in Canada, following a master’s degree from King Fahd University of Petroleum and Minerals and a bachelor’s degree from Yarmouk University. His academic interests include data science, computer programming, and data structures. He teaches undergraduate engineering courses, supervises student projects, and actively contributes to research, education, and academic development at the university.

Yasmina Chaibi is a clinical affairs and validation manager at Avicenna.AI, a French company developing AI tools for medical imaging, especially emergency radiology and incidental findings. She oversees clinical validation and regulatory processes for AI-based diagnostic technologies that help detect and assess life-threatening conditions from CT scans. In this role she has been quoted in press releases on FDA and EU clinical validations of Avicenna’s products, such as algorithms for pulmonary embolism detection and stroke severity assessment, highlighting her involvement in demonstrating clinical performance and robustness. She is connected to research work in AI-driven radiology and medical imaging validation.

Yaser Kord is a researcher at the Institute of Physics, University of Freiburg in Freiburg im Breisgau, Germany. He is affiliated with the Freiburg Center for Data Analysis, Modeling and AI and participates in interdisciplinary research projects involving statistical modeling and dynamic systems analysis. Kord earned his Ph.D. in Applied Mathematics from the University of Lisbon, reflecting a strong background in mathematical methods and computation. At Freiburg he contributes to research improving parameter optimization in complex models using advanced learning techniques. His work integrates mathematics, physics, and data analysis to address challenging scientific problems.

Ding Qinxu is currently a Senior Lecturer at the Singapore University of Social Sciences (SUSS). Prior to joining SUSS, he served as a Research Fellow at the Alibaba-NTU Singapore Joint Research Institute, where he authored academic papers on artificial intelligence and contributed to the application of research findings in Alibaba’s industrial use cases. Dr. Ding holds a PhD in Electrical and Electronic Engineering from Nanyang Technological University. His research interests span artificial intelligence, financial technology (FinTech), and computational mathematics. His work has been published in top-tier AI conferences such as NeurIPS, AAAI, ICLR, and CIKM. He also serves as a program committee member for AAAI and a reviewer for NeurIPS

Zhou currently heads the Applied Algorithms and AI (AAAI) Theme and leads the Biomedical Image Processing Lab at University of Leicester. He was the Director of MSc Programme (2018-19), and currently is the Coordinator of MSc Distance Learning and a Member of Research Committee at School of Informatics. Prior to this appointment, he worked as a Lecturer (2012-17) at the School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast.

Graduate in Mechanics at São Carlos Federal University (1986), Graduate in Physics at Sao Paulo University (1987), master's in Sciences at Sao Paulo University (1992) and Ph.D. in Sciences at São Paulo University de São Paulo (1996).  Habilitation in Stellar astrophysics, compact objects and cosmology by the Federal University of Sao Paulo. More areas of Expertise: 1. Electromechanical Instrumentation 2. Relativity and Gravitation 3. Particles and Fields 4. Vocational Education. Has experience in Electric Engineering, focusing on Electromechanical Instrumentation, acting mainly in gravitational waves detectors. Main Management and Administrative Positions: Institution Brasilia Federal Institute: 08/2009 - 02/2010 PostGraduation and Research Pro-Rector; 03/2009 - 07/2009 UnderGraduation Pro-Rector 03/2009 and 02/2010 Substitute Rector. Currently in a position of Full-Professor at Rio Grande Federal University, former Full-Professor atSao Paulo Federal Institute, with a fellowship in research in Mechanics, Naval, Oceanics and Airspace Engineering from the National Council for Research. Referee for the Classical and Quantum Gravity and Journal of Physics:Conference Series. Member of the editorial board of the journals: Journal of Gravity and Sinergia (ISSN: 2177-451X) and editor of the Sinergia for two years. My score in the researchgate (47.47) is higher than 97.5% of ResearchGate members'.

Dominik Zimon is a university professor at Rzeszów University of Technology, with research expertise in artificial intelligence applications, standardized management systems, process improvement, sustainable development, and supply chain management. He is the author of over 120 publications, including 83 indexed in Scopus (IH = 25), and serves on the scientific boards of 12 academic journals, including The TQM Journal. Dr. Zimon has completed several hundred peer reviews for leading journals and is listed among the top 2% of the world’s most-cited researchers in Economics & Business in the 2025 Stanford University ranking. His recent work focuses on the applications of artificial intelligence in science and innovation, including the study “ChatGPT in science and research: How generative AI drives innovation and knowledge development” and research exploring the directions of AI in promoting health and well-being (SDG3) using big data and topic modeling. This expertise bridges AI, knowledge management, and practical innovation in research.

Said Badreddine is an Information Technology Faculty member at the Higher Colleges of Technology (HCT), United Arab Emirates, and is affiliated with the School of Computing, Engineering and Digital Technologies at Teesside University, UK. He holds a Ph.D. and an Educational Specialist (Ed.S.) degree in Computing Technology in Education from Nova Southeastern University, USA, an M.S. in Computer Science from the New York Institute of Technology, and a B.S. in Telecommunications with a minor in Computer Science from the City University of New York. He has over two decades of academic and industry experience, having previously held faculty and leadership roles at DeVry University, Excelsior College, and CUNY institutions. His research interests include cybersecurity behaviour, information security policy compliance, information systems, applied artificial intelligence, machine learning, and digital transformation in higher education. Dr. Badreddine has published in peer-reviewed international journals and conferences and actively serves as a reviewer for several academic journals and conferences.

Shuiwang Li is an Associate Professor at the School of Computer Science and Engineering, Guilin University of Technology. He is a member of the Technical Committee on Biometrics of the China Society of Image and Graphics. His research interests include computer vision, pattern recognition, and artificial intelligence. He received his Ph.D. in Computer Science and Technology from Sichuan University. Dr. Li has published over 60 papers in leading international conferences and high-impact journals, including CVPR, ICCV, ICML, IEEE Transactions on Geoscience and Remote Sensing (TGRS), IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), and Pattern Recognition. He has led several national and provincial research projects and serves as a reviewer for numerous prestigious journals and top-tier international conferences.

Abdulatif Alabdulatif is an Associate Professor in Cybersecurity at Qassim University, Saudi Arabia. He serves as Vice Dean of the E-Learning and Information Technology Deanship. His interests focus on cybersecurity, with a focus on data privacy and cryptography.

Sharareh Taghipour is a Professor of Mechanical, Industrial & Mechatronics Engineering and the Canada Research Chair (Tier 2) in Physical Asset Management at Toronto Metropolitan University. She holds a PhD from the University of Toronto and earlier degrees from Sharif University of Technology. Dr. Taghipour’s research focuses on mathematical modeling, optimization, reliability engineering, prognostics and health management, and intelligent decision support for physical asset and system performance. She has published 80+ journal articles and serves on editorial boards of leading journals such as IEEE Transactions on Reliability. Her work has earned multiple awards, including the Sarwan Sahota Distinguished Scholar Award

Carmen Elena Cirnu is a distinguished scientific leader and a prominent voice in the field of advanced digital technologies, currently serving as Scientific Director at the National Institute for Research & Development in Informatics – ICI Bucharest. With an extensive career dedicated to research excellence, innovation strategy, and institutional development, Dr. Cirnu plays a pivotal role in shaping the institute’s vision in alignment with the accelerating evolution of Artificial Intelligence, Machine Learning, and Data Science. Her professional trajectory reflects a strong commitment to advancing cutting-edge research at the intersection of emerging technologies and societal transformation. Under her scientific coordination, ICI Bucharest has strengthened its position as a national and international hub for innovation in AI-driven systems, intelligent data infrastructures, cybersecurity, digital governance, and high-performance computing. She actively supports the development of robust research frameworks that integrate AI and data-centric methodologies into real-world applications, fostering scalable and sustainable digital transformation across public and private sectors.

Suania Acampa holds a PhD in Statistic and Social Sciences and is currently an adjunct professor at the Interdepartmental School of Economics and Law at the University of Naples Parthenope and a researcher at the FAST - Future, Algorithms, Society and Technologies observatory. Previously, she was a postdoctoral researcher at the Department of Social Sciences at the University of Naples Federico II,
where she worked on digital data and computational methods for studying digital transformation processes. She obtained the National Scientific Qualification as an Associate Professor in General Sociology. Her research focuses on digital societies, emerging technologies, and the methodological implications of digital data for social research. She has won numerous awards for her scientific work and is currently involved in several national and international research projects on digitalization. She has held visiting research positions at the Universidad Complutense de Madrid and the University of Italian Switzerland. His work combines computational and qualitative approaches to investigate digital communication and platform societies.

Ahmed Eltweri is an assistant professor at Liverpool John Moores University (LJMU) within the Liverpool Business School, specializing in accounting, auditing, and finance. He holds a PhD in Auditing from LJMU, an MSc in Investment and Finance from Queen Mary University of London, and a BSc in Accounting from the University of Tripoli, Libya. He is also a Fellow of the Higher Education Academy (FHEA), a Certified Management & Business Educator (CMBE), and holds an Advanced Diploma from ACCA. With extensive teaching experience, Dr. Eltweri delivers undergraduate and postgraduate courses and mentors PhD candidates. His expertise extends to professional training, collaborating with institutions such as the Abu Dhabi Accountability Authority and the Libyan Audit Bureau.

Ciobanu Eliza is a researcher and lecturer affiliated with Transilvania University of Brașov, Romania. Her research interests lie at the intersection of artificial intelligence, marketing research, fintec adoption,  cybermarketing, and digital trust in emerging technologies. Her work focuses on understanding consumer behavior and user adoption of AI-driven financial services, particularly within the evolving entrepreneurial ecosystem. Through empirical marketing research and data-driven analysis, she investigates how factors such as trust, perceived security, technological innovation, and digital experience influence the adoption of digital wallets and other digital solutions. Recently, Dr. Ciobanu has contributed to academic research exploring the role of AI and data analytics in shaping digital transformation. She actively engages in interdisciplinary research that connects technology, marketing insights, and strategic decision-making to better understand the impact of emerging technologies on consumers and organizations.

Szilvia Módosné Szalai, PhD is an economist and Assistant Professor at the Kautz Gyula Faculty of Business and Economics, Széchenyi István University, Hungary. She entered academia later in her professional career after gaining substantial experience in the private sector, which gives her teaching and research a strong practical orientation. Her teaching activities include courses in macroeconomics, microeconomics, and statistics, through which she seeks to provide students with both solid theoretical foundations and practice-oriented economic insight. In her academic work, she places particular emphasis on linking economic theory with real-world challenges and current technological developments.

Abdulla Al-Kaff is an Associate Professor at Universidad Carlos III de Madrid and Co-director of AMPL and VEDYMEC research groups. He earned his Ph.D. with Cum Laude distinction and received the Best Ph.D. Thesis Award from the IEEE Intelligent Transportation Systems Society (Spanish Chapter). He began his academic journey at the University of Aden and later completed a master’s in Robotics and Automation. His research focuses on autonomous vehicles, robotics, artificial intelligence, and smart cities, emphasizing AI-driven decision-making, perception systems, and sensor fusion. He has authored 80+ peer-reviewed publications and led multiple European and national research projects. He also led a team that won 2nd prize at the Dubai World Challenge for Self-Driving Transport. As co-founder of Spain FlyingLab and an IEEE editor and committee member, he actively contributes to advancing intelligent transportation systems.

Transformative Technology Leader and Researcher with 13+ years of IT experience, including 6+ years in the Retail, Transportation, and Logistics sectors, driving platform engineering and DevOps transformation. Proven track record of building and leading high-performing teams from the ground up, scaling them to deliver secure, resilient, and cloud-native platforms. Delivered measurable impact by improving deployment frequency by 40%, reducing incident resolution times by 35%, and cutting infrastructure costs by 20% through automation, observability, and cost optimization practices. Experienced in modernizing enterprise infrastructure and data platforms to support real-time analytics, ensuring high availability, compliance, and operational efficiency.