Dr. Zhenchun Xia earned his Ph.D. from Texas A&M University in 2012 and is an IEEE Senior Member. He has 20+ years of control and simulation experience spanning Daimler, Mercedes-Benz, Chrysler, Mitsubishi, Autoliv, and Magna. As Founder & CEO of A&M SIM Global, Dr. Xia leads the development of real-time, high-fidelity simulation platforms for AD/ADAS, drones, and robotics. His expertise includes control theory, sensor modeling, and real-time simulation. He has published 30+ papers and has been invited to speak at international conferences on AD/ADAS, Control, Sensors and Safety.

Dr. Leila Mekacher is a passionate engineer, entrepreneur, and internationally certified autism specialist. She serves as Head of Digital Research and Innovation and is the founder of the Technological Education Center at the SRH Vocational Training Center. A committed STEM ambassador, she also lectures at the Baden-Württemberg Cooperative State University, the University of the Federal Employment Agency in Mannheim, and the University of Applied Sciences Upper Austria in Linz. Dr. Mekacher holds a degree in electrical and automation engineering and earned her PhD in robotics and software engineering. Her work centers on the use of immersive technologies—such as virtual and mixed reality—as well as gamification, to advance digital education, foster inclusive work environments, and promote accessibility. Through her social enterprise Innoversa gUG and her tech company Innoversa Factory GmbH, she develops cutting-edge educational tools, including VR escape rooms, AI-generated media, interactive 360° VR experiences, and VR simulators designed for vocational training and career orientation. Deeply committed to inclusion, Dr. Mekacher supports individuals on the autism spectrum by actively involving them in research, development, and real-world industry projects. She also develops specialized XR-based training tools tailored to their strengths—helping them build skills and thrive in future-oriented technological careers.

Francesco Iarlori is an AI and Digital Transformation Strategist, researcher, author, and international keynote speaker with over 30 years of experience in technological innovation and organizational transformation across Europe, North America, and Asia. His expertise spans Artificial Intelligence, organizational intelligence, enterprise architecture, AI governance, and the evolving relationship between human judgement and machine intelligence. He holds an MSc in Computer Science, an Executive Master's in AI for Public Administration, and a Master's in Social Data Science. He is the author of The Architecture of Thought: Artificial Intelligence, Organization and Human Meaning and his latest book, The Intelligence Between Us: Human Intelligence, Artificial Intelligence, and the Future of Thinking Together, exploring the future of human–AI collaboration and collective intelligence. As an international speaker, lecturer, and strategic advisor, he advocates moving beyond AI adoption towards designing intelligent, adaptive, and resilient organization's.

Miroslav Velev received simultaneous B.S.& M.S. in Electrical Engineering, and B.S. in Economics from Yale University, 1994, and Ph.D. in Electrical and Computer Engineering from Carnegie Mellon University, 2004. He is the Founder and President of Aries Design Automation, where he leads R&D projects on design and formal verification of microprocessors, Boolean Satisfiability (SAT), and related topics for the needs of NASA, the US Airforce, US Space Force, and others. He received: - the Franz Tuteur Memorial Prize for the Most Outstanding Senior Project in Electrical Engineering, Yale University, May 1994; - the EDAA Outstanding Dissertation Award for New Directions in Logic and System Design, 2005; and - the IEEE Aerospace and Electronic Systems Society (AESS) Industrial Innovation Award, 2021. He is: - Fellow of the American Association for the Advancement of Science (AAAS); - Associate Fellow of the American Institute of Aeronautics and Astronautics (AIAA); and - ACM Distinguished Member - Distinguished Scientist.

Barco Jie You is Co-founder and Chief Technology Officer of Maggio Technologies, a Shanghai-based deep-tech company at the forefront of integrating artificial intelligence with blockchain infrastructure. He received PhD degree in Computer Science from Heidelbery University in 2014. Under his technical leadership, Maggio Technologies has pioneered the convergence of AI agents and distributed ledger technology. In June 2026, the company open-sourced CurveTime, a production-ready blockchain framework that re-engineers Proof-of-Work as a reinforcement learning problem—transforming wasteful hash competition into useful AI computation. As Barco states: "We are committed to making every joule of computing power produce value." His research interests center on energy-efficient AI optimization, trustworthy multi-agent collaboration, and green computing infrastructure. He has championed the vision of "consensus-as-decision," where blockchain consensus and AI model training unify into a single computational process. This work directly addresses two of the defining challenges of our era: the unsustainable energy cost of artificial intelligence, and the lack of verifiable trust in multi-agent systems. Prior to founding Maggio Technologies, Barco's career spanned AI algorithm research, distributed systems engineering, and scientific inquiry into the thermodynamic foundations of machine learning. He is a corresponding author of peer-reviewed research published in Nature Scientific Reports, where his team introduced a thermodynamic natural gradient descent optimizer that reduces predicted training energy dissipation by 62%. At ISRAI2027, Barco will share insights on AI agents for real-world automation, swarm intelligence and multi-agent coordination, and climate-resilient AI—themes that resonate deeply with the summit's focus on embodied intelligence, edge AI, and sustainable intelligent systems. His talk will explore how rethinking the computational and consensus layers of AI can unlock a new generation of energy-aware, trustworthy autonomous systems for finance, manufacturing, and energy industries.

Cameron Ikin is the Director of the Australian Capricorne Spatial Agence, bringing extensive expertise in spatial technologies, agency leadership and innovative research that supports the rapidly evolving new space economy. His work uniquely bridges visionary theory with real-world applications, positioning him as a leading voice in global astrophysics and space innovation.

Dr. Anand Nayyar received Ph.D (Computer Science) from Desh Bhagat University in 2017 in the area of Wireless Sensor Networks, Swarm Intelligence and Network Simulation. He is currently working in School of Computer Science and Artificial Intelligence (SCA)-Duy Tan University, Da Nang, Vietnam as Professor, Scientist, Vice-Chairman (Research) and Director- IoT and Intelligent Systems Lab. A Certified Professional with 280+ Professional certifications from CISCO, Microsoft, CompTIA, Amazon, Alibaba Cloud, Oracle, Google, Salesforce, Tableau, FinOps, Beingcert, EXIN, GAQM, Cyberoam and many more. Published more than 300+ Research Papers in various High-Quality ISI-SCI/SCIE/SSCI Impact Factor- Q1, Q2, Q3, Q4 Journals cum Scopus/ESCI indexed Journals, 80+ Papers in International Conferences indexed with Springer, IEEE and ACM Digital Library, 60+ Book Chapters in various SCOPUS/WEB OF SCIENCE Indexed Books with Springer, CRC Press, Wiley, IET, Elsevier with Citations: (Google Scholar): 24300+, H-Index: 80 and I-Index: 323; (Scopus): 13600+; H-index: 62. Member of more than 60+ Associations as Senior and Life Member like: IEEE (Senior Member) and ACM (Senior Member). He has authored/co-authored cum Edited 80+ Books of Computer Science. Associated with more than 600+ International Conferences as Programme Committee/Chair/Advisory Board/Review Board member. He has completed 1 Grassroot and 1 ASEAN Project. He has 18 Australian Patents, 16 German Patents, 4 Japanese Patents, 46 Indian Design cum Utility Patents, 13 UK Patents, 1 USA Patent, 3 Indian Copyrights and 2 Canadian Copyrights to his credit in the area of Wireless Communications, Artificial Intelligence, Cloud Computing, IoT, Healthcare, Drones, Robotics and Image Processing. He has guided more than 200+ Undergraduate Students (B.S. Degree), 30 MCA, 7 M.S. Students and completed 1 Ph.D Student and currently 3 Ph.D Scholars and 3 PostDoc Candidates are working under him. He has completed 4 Research Grants Projects including 1 ASEAN and 1 Glocal 30 Project and 1 Grassroot Project in DTU. Awarded 58 Awards for Teaching and Research—Young Scientist, Best Scientist, Best Senior Scientist, Asia Top 50 Academicians and Researchers, Young Researcher Award, Outstanding Researcher Award, Excellence in Teaching, Best Senior Scientist Award, DTU Best Professor and Researcher Award- 2019, 2020-2021, 2022, 2022-2023, 2023-2024, 2024-2025, Distinguished Scientist Award by National University of Singapore, Obada Prize 2023, Lifetime Achievement Award 2023, 2024; Asian Admirable Achievers 2024; Distinguished Academic Leader 2024, Lifetime Achievement Award 2024 and many more. He is listed in Top 2% Scientists as per Stanford University (2020, 2021, 2022, 2023, 2024, 2025), Ad Index (Rank No:1 Duy Tan University, Rank No:2 Computer Science in Viet Nam) and Listed on Research.com (Top Scientist of Computer Science in Viet Nam- National Ranking: 2; D-Index: 64; World Ranking: 2555). He is acting as Associate Editor for Computer Communications (Elsevier), International Journal of Sensor Networks (IJSNET) (Inderscience), Tech Science Press- IASC, Human Centric Computing and Information Sciences (HCIS), IEEE Transactions on Artificial Intelligence (IEEE TAI), Indonesian Journal of Electrical Engineering and Computer Science, IJISP, IJDST, IJCINI, IJGC, IJSIR, IJBDCN, IJSI, IJIES, IJKSS. He has reviewed more than 5700+ Articles for diverse Web of Science and Scopus Indexed Journals. He is currently researching in the area of Wireless Sensor Networks, Internet of Things, Swarm Intelligence, Cloud Computing, Artificial Intelligence, Drones, Blockchain, Cyber Security, Healthcare Informatics, Big Data and Wireless Communications

Dr. Massimo Medesani was born in Loano (SV) on 25 January 1966 and currently residing in Vendone (SV), Fraz. Castellaro 47. Obtained a Teaching Diploma (1985) from the Istituto Magistrale C. Amoretti in Imperia, a Bachelor’s degree (1992) and a Doctorate (2023) in Philosophy from the University of Genoa, and a PhD in Brooklyn (2023). Certified Human Resources Trainer (2013) at RI.CRE.S., Rome. Member of the Scientific Committee of CESIA Insurance Intermediaries (2015), Secretary of the FATA Insurance Agents Group (2009), and member of the Pension Fund of the FATA Insurance Group (2015). Participated in numerous conferences and congresses, as well as in the negotiation roundtables of FATA Insurance Companies (2012–2017) and Cattolica Insurance (2018–2022). Serves as a referee for CESIA and GAFATA. Completed several examinations in music theory at the F. Cilea Musical Academy in Savona. Previously served as Sole Director of Al Saraceno Srl (2013–2016), Insurance Delegate of Assigest Group Srl (2014–present), and General Agent for FATA Insurance (2005–2017). Currently serves as General Agent for Cattolica Insurance (2018–present). Scientific and research activities focus on the sustainable impact of economic and insurance activities, with particular attention to climate change and collaboration with numerous scientific a

Douglas Amante is a researcher, entrepreneur, and international speaker specializing in Learning Sciences, Artificial Intelligence, and Digital Learning Technologies. He is a PhD at the Università degli Studi di Modena e Reggio Emilia (UNIMORE) and Co-Founder of Growlen Technologies, where he contributes to the development of AI-powered learning ecosystems that integrate evidence-based educational practices with emerging technologies to support personalized, competency-based, and lifelong learning. His research and innovation interests focus on human-centered AI, learning analytics, adaptive intelligent systems, and the digital transformation of education. Douglas actively collaborates with universities, industry, and international organizations to advance research and practical applications of AI and emerging technologies in education. His work explores how Learning Sciences can guide the development of intelligent technologies that move beyond automation to foster meaningful learning, critical thinking, human development, and more effective learning experiences in an increasingly AI-driven world.

Dr. Alaa Abd-Alrazaq is an Assistant Professor and Director of Artificial Intelligence for Precision Women’s Health at Weill Cornell Medicine-Qatar (WCM-Q). He is also Adjunct Assistant Professor at Qatar University and Visiting Fellow at the University of South Wales. His work focuses on advancing the use of artificial intelligence to support precision health, improve women’s health outcomes, and strengthen public health systems. Dr. Abd-Alrazaq holds a PhD in Health Informatics and has further strengthened his expertise through a postdoctoral fellowship at Hamad Bin Khalifa University and a Postgraduate Diploma in Artificial Intelligence and Machine Learning. He also brings international research experience, including his role as a systematic reviewer for the Royal College of Obstetricians and Gynaecologists in London. His research interests include artificial intelligence, wearable technologies, mobile health, digital health interventions, and the Internet of Things, with a particular focus on women’s health and precision medicine. Dr. Abd-Alrazaq has authored more than 130 peer-reviewed publications in leading international journals and was elected by the International Medical Informatics Association as a Fellow of the International Academy of Health Sciences Informatics, one of the highest global honors in the field.

Dylan Lam is the founder of Omirank, a digital marketing agency supporting ecommerce and Amazon sellers with growth strategy, lead generation, PPC, media buying, email marketing, and AI-driven systems. Known as “Digital Dylan,” he works with sellers and ecommerce brands to improve performance through practical strategy, data, automation, and execution. His work focuses on helping ecommerce teams use AI in a practical way — not just for one-off prompts, but as part of clear workflows that support real business tasks. His approach combines creativity, analytics, and emerging technologies to help businesses reduce manual work, improve decision-making, and build more efficient systems for growth.

Clarissa Loureiro received the B.Sc. degree in Electrical Engineering from the Federal University of Campina Grande and the INSA (Institut National des Sciences Appliquées de Lyon), France (2006), and the M.Sc. degree in Electrical Engineering and Computing with emphasis on Biomedical Engineering from UNICAMP, Brazil. Her PhD, currently pursuing, is in Electrical Neural Engineering at UNICAMP in collaboration with George Mason University, in Washington, DC, USA. She is a researcher at the Information Technology Center (CTI Renato Archer), part of the Brazilian Ministry of Science, Technology and Innovation (MCTI), where she contributes with Artificial Intelligence, Robotics, Smart and Sustainable Cities, Renewable Energy, Magnetogenetics, Neurosciences, and Biomedical Engineering. She served as IEEE Women in Engineering (WIE) Region 9 Chair (2015–2016) and has delivered more than 100 invited lectures promoting women in STEM worldwide. She develops projects in the area of technology for public school education in Brazil and Latin America. She is part of the development team of the Maturity Model of Sustainable Smart Cities project of the Ministry of Science, Technology and Innovation.

Noureddine BEN YAHIA is a Full Professor at the National Superior School of Engineers of Tunis (ENSIT), University of Tunis. He earned his Ph.D. in Automatic Machining Processes from the National School of Engineers of Tunis in 2002 and obtained his Habilitation in Computer-Aided Process Planning in 2012. From 1995 to 1999, he served as Head of the Energy Sector at the National Center for Trainers and Training Engineering (CENAFFIF), before joining academia as a Research Professor in 2000—a position he holds to this day. Prof. Ben Yahia is certified by the CESI-France Group in Industrial Support and Context Analysis. Over his career, he has led numerous scientific research and training engineering projects, as well as strategic initiatives in academia and industry. From 2018 to 2024, he headed ENSIT’s Internship and International Relations Department. He currently serves as Director of the Laboratory of Mechanics, Production, and Energy (LMPE – LR18ES01). His research interests include: • Artificial Intelligence • Optimization of Mechanical Manufacturing Systems • Industrial Production Systems and Digital Twins • Additive Manufacturing Prof. Ben Yahia has authored over 60 peer-reviewed journal articles and more than 150 conference papers in leading international venues. He has supervised 16 doctoral theses and 50 master’s dissertations in artificial intelligence, mechanical manufacturing, and production systems.

Wejeyan Nyerovwo Felix is a computational deep-tech researcher and technology entrepreneur, and the founder and CEO of HashTagPrograms Technology Limited. His research explores Contextual Calculus, a developing mathematical framework concerned with contextual relationships, computational dynamics, and coordination in intelligent systems. His broader interests span quantum computation, artificial intelligence, autonomous systems, and the mathematical foundations of computational coordination. Through HashTagPrograms, he is working toward translating research in contextual computation into technologies for the observability and governability of autonomous AI systems.

Dr. Wisdom Onyema Okafor is a Senior Member of IEEE (Reg. No. 98121354) and a Research Visiting Fellow with the IEEE Skill-Up Hub, Region 8, hosted by the University of Chichester, UK, where his work focuses on autonomous energy management frameworks for the UK net-zero grid transition. He also serves as a researcher at CPRE London, informing evidence-based sustainability policy across the 32 London boroughs. He holds a PhD in Digital Electronics and Computer Engineering from the University of Nigeria, Nsukka, and an MSc in Cyber Security with Project Management from the University of Bedfordshire, UK. His research spans smart grid systems, renewable energy integration, cyber-physical security, and AI/machine learning, with 34+ peer-reviewed publications in IEEE, Elsevier, MDPI, and Oxford Open Energy, an h-index of 15, and over 470 citations. He serves on the Technical Program Committees of IEEE ICAST 2026, IEEE ICSSID 2026, SPETM 2026, and IECEC 2026, and as a peer reviewer for MDPI Energies, Sustainability, and Processes.

Dr. Edgar Ricardo Quiroz Villón is a senior mining executive, civil engineer, and specialist in tailings management, water resources, geotechnical engineering, ESG governance, and digital transformation. With more than 25 years of experience in major mining projects and operations in Latin America, Canadá and Australia. He’s Executive Chairman & CEO of Frame Limited, a bootique consulting company focused on mining engineering, tailings governance, risk management, ESG, and applied innovation. His expertise includes the integration of artificial intelligence, machine learning, digital twins, predictive analytics, remote monitoring, and autonomous technologies to improve the safety and performance of tailings storage facilities and critical mining infrastructure. His current work focuses on Al-powered risk management, Mine-to-Tailings digital transformation, predictive monitoring systems, and the application of robotics and machine learning for safer and more sustainable mining operations.

Dr. Bradley Fowler earned a PhD in Cybersecurity Leadership from Capitol Technology University and is defending his dissertation for a Doctor of Management in Information Systems and Technology with the University of Phoenix in July 2026 as well as defending his research for a Doctor of Education with California Coast University in 2026. He conferred with multiple HONOR Master of Science degrees in Cybersecurity, Cloud Computing Architecture, Technology Management, and Management Information Systems. He also conferred with honors in a Master of Research in Cyberpsychology, Master of Arts in Teaching and Learning with Technology, and Master of Public Policy in Cybersecurity Policy, and Bachelor of Arts in eMarketing. Dr. Fowler has authored and co-authored several scholarly books including AWS for Public and Private Sectors: Cloud Computing Architecture for Government and Business-Apress, Information Assurance and Risk Management Strategies: Manage Your Information Systems and Tools in the Cloud-Apress, Cybersecurity Public Policy SWOT Analysis Conducted in 43 Countries-CRC Press & Taylor & Francis Group, Cyberpsychology Can Help Us Understand Cybercrime, and Cybersecurity Leadership for Healthcare Organizations and Institutions of Higher Education-River Publishers. Dr. Fowler has also authored journal articles on Cybersecurity Leadership for Institutions of Higher Education, Cyberpsychology Can Improve Cybersecurity Leadership in Higher Education, and Cybersecurity Leadership Policy and Compliance for Institutions of Higher Education. Dr. Fowler is Master Chair and Adjunct Professor at Capitol Technology University, Adjunct faculty at Avila University, and Chief Technology Officer for DOC Technology Systems LLC, where is created the Nexurity cybersecurity risk management cloud information system for healthcare and other industry organizational needs. He is a lifetime member of Golden Key International Honour Society and the National Society of Leadership and Success; peer review panelist for the National Cyber Watch Association, and River Publishers Journal of Cybersecurity and Mobil Devices.

Dr. Shang received the B.S. and Ph.D. degrees in Mathematics from Shanghai Jiao Tong University, China, in 2005 and 2010, respectively. Dr. Shang is Associate Professor and Subject Head of Informatics and Artificial Intelligence at Northumbria University, UK. Dr. Shang's research interests span complex networks and systems, probability and analysis, algebra and combinatorics, optimization and control, data science and artificial intelligence.

Simran Tiwari is a Lead AI Research Scientist at Ensemble Health Partners, where she leads research and development of AI for healthcare.. Her research focuses on reducing hallucinations, improving clinical summarization, LLM alignment, and developing reliable AI systems for real-world use. Across industry and academic collaborations, she has worked on clinical information retrieval, longitudinal reasoning over electronic health records, multimodal learning, and responsible AI evaluation. Her research has been published and presented at various venues and has received coverage from outlets including STAT, Modern Healthcare, MedCity News, TechTarget, and Clinical Trials Arena. Beyond her research, Simran contributes to the broader AI and healthcare communities through work on responsible AI adoption, healthcare AI evaluation, workforce upskilling, and health information technology. She has collaborated with researchers at institutions including Columbia University, the University of Massachusetts, and the University of Pennsylvania. She holds an M.S. in Electrical Engineering from Columbia University.

Dr. Anis Hamza is an Assistant Professor at the Higher Institute of Applied Sciences and Technology of Gabès (ISSAT Gb), University of Gabès, and Director of the Department of Mechanical Engineering at the Higher Institute of Technological Studies of Kebilli (ISET Kebilli). He holds a doctorate in mechanical engineering from ENSIT, Tunis, where he is a member of the Laboratory of Mechanics, Production and Energy (LMPE). His research focuses on intelligent control of active suspensions using artificial neural networks and deep learning, energy optimization of machining processes, additive manufacturing, and ISO standards in manufacturing. He has authored journal articles, book chapters, and a book, with an h-index of 16, and serves as a Reviewing Editor for Springer Nature. He previously served as an expert in vehicle accidentology for the Tunisian insurance sector.

Dr. Mukhtar Sani, Research and Development Engineer, Department of Software and Systems Engineering (DILS), CEA-LIST, France

Abhijeet Karn received the M.Sc. degree in Mechatronics Engineering from Politecnico di Torino, Turin, Italy, in 2025, after earning the B.Sc. degree in Mechanical Engineering from the same university in 2023. He also completed an exchange program at the University of Arkansas, USA, in 2022. He worked as a Software Developer at Logos01, Mantua, Italy, and is currently an Automation Engineer at Kinegge Srl, Lucignano, Italy. His research and professional interests include industrial robotics, PLC and SCADA systems, machine vision, virtual commissioning, and simulation.

Shenglun Yi received the Ph.D. degree in Control Science and Engineering from Beijing Institute of Technology, Beijing, China, in 2022. Since 2022, he has been with the Department of Information Engineering, University of Padova, Padova, Italy, where he first worked as a Postdoctoral Researcher and later served as a Researcher Type B - Junior. He is currently a Researcher Type B - Senior with the same department. His research interests include robust estimation, information fusion, signal processing, deep learning, and identification theory.

Safaa Berkani is a faculty researcher at the École Supérieure d'Informatique et du Numérique (ESIN) at UIR and a member of TICLab. She received her PhD in Computer Science from UIR in 2025. Prior to that, she completed a Master's degree in Applied Analysis and Statistical Engineering at the Faculty of Sciences and Techniques of Tangier (Abdelmalek Essaâdi University) in 2020, having previously obtained a Bachelor's degree in Fundamental Mathematics from the same institution in 2018. At ESIN, Safaa teaches several courses, including Machine Learning, Introduction to Data Science, and Probability and Statistics. Her research focuses on artificial intelligence, and more specifically on spatio-temporal forecasting models and deep learning applied to complex data analysis.

Prof. Dr. Ahmad Taha Abdulsadda received his B.Sc. in Electrical Engineering from the University of Tikrit, Iraq (1997, first rank university-wide), his M.Sc. in Electrical/Control & Computers from the University of Baghdad (2000, first rank in class of 54), and his Ph.D. in Electrical & Computer Engineering from Michigan State University, USA (2012). He has served as a lecturer and professor at the University of Baghdad, University of Arkansas at Little Rock (USA), Ibb University (Yemen), and Al-Furat Al-Awsat Technical University (Iraq). He currently holds the position of Assistant Dean at Al Najaf Technical College. Prof. Abdulsadda has published over 28 papers in international journals and conferences, is an editor/board member of five international impact-factor journals, and is the author of a book on robotic fish control systems. His research interests include nonlinear control, neural networks, genetic algorithms, fuzzy systems, IPMC sensors, artificial lateral line systems, and biomedical signal processing.