IEEE GCAIoT

Conference Speakers

Keynote Speaker

Dr. Magdy A. Bayoumi
Director, The Center for Advanced Computer Studies (CACS) | University of Louisiana at Lafayette, USA

Dr. Magdy A. Bayoumi is the Z.L. Loflin Eminent Scholar Endowed Chair, Professor at The Center for Advanced Computer Studies (CACS), University of Louisiana at Lafayette (UL Lafayette). He was the Director of CACS, 1997 – 2013 and Department Head of the Computer Science Department, 2000-2011. Dr. Bayoumi has been a faculty member in CACS since 1985. He received B.Sc. and M.Sc. degrees in Electrical Engineering from Cairo University, Egypt; M.Sc. degree in Computer Engineering from Washington University, St. Louis; and Ph.D. degree in Electrical Engineering from the University of Windsor, Canada. Dr. Bayoumi has graduated about 70 Ph.D. and 150 Master’s students. He has published over 500 papers in related journals and conferences. He edited, co-edited and co-authored 10 books in his research interests. He has been Guest Editor (or Co-Guest Editor) of nine Special Issues in VLSI Signal Processing, Learning on Silicon, Multimedia Architecture, Digital and Computational Video, and Perception-on-a-Chip. The latest Special Issues has been on “System-on-a-Chip,” IEEE Proceedings, 2006. He has given numerous invited lectures and talks nationally and internationally, and has consulted in industry. He is an IEEE fellow. Dr. Bayoumi has served in many editorial, administrative, and leadership capacities in IEEE Signal Processing Society, IEEE Computer Society, and IEEE Circuits and Systems (CAS) Society. He has been involved in many conferences, serving in different capacities.

Invited Talk

Dr. Mohamed Eltaweel
AI Consultant | Academic Researcher | Bridging AI Theory & Practice | Open to Opportunities

As an AI specialist with a strong academic foundation and real-world consulting experience, I help organizations and institutions harness the power of artificial intelligence through evidence-based strategies and tailored solutions. With a background in both research and applied AI, I bridge the gap between theory and practical implementation, ensuring that innovation is both impactful and scalable. I have worked with cross-disciplinary teams, contributed to academic publications, and advised decision-makers on the ethical and efficient integration of AI into business and educational contexts.

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