Prof. Ryo Haraguchi
University of Hyogo, Japan
Speech Title: The Art and Science of
Cardiac Modeling and Arrhythmia Simulation
Abstract: This keynote
explores the art and science of cardiac modeling, where the "science" of
creating computationally intensive models, often requiring
High-Performance Computing (HPC), is complemented by the "art" of
building a sustainable and accessible research ecosystem. I will provide
a comprehensive overview of current trends, highlighting how Open Source
Software (OSS) and XML-based standards are breaking down barriers by
enabling robust model and data sharing. We will also look toward the
future, delving into the emerging paradigm of the Digital Twin in
cardiology and the software engineering challenges it presents. This
talk is an open invitation for the software engineering community to
join this exciting and increasingly accessible field of research.
Biography: Ryo Haraguchi received Ph.D. degrees in informatics from Kyoto University, Kyoto, Japan, in 2003. He is currently a Professor at Graduate School of Information Science, University of Hyogo, Japan. His research interests include medical imaging, medical engineering, cardiac arrhythmia, and computational science. He is a member of the Japanese Society of Medical and Biological Engineering, the Japanese Heart Rhythm Society, IEICE, and IEEE.
Assoc. Prof. Ghada Khoriba
Nile
University, Egypt
Speech Title: From Solo to Symphony: How
Multi-Agent AI is Orchestrating the Future of Industry
Abstract:
Current artificial intelligence systems increasingly rely on multi-agent
reinforcement learning (MARL) to address complex industrial optimization
problems that surpass the capabilities of single-agent approaches. This
talk will cover theoretical foundations and practical implementations of
MARL in various industrial sectors. Through systematic analysis of
industrial case studies, we explore emergent coordination mechanisms,
scalability challenges, and performance metrics in real-world
deployments. The talk addresses research gaps, including
non-stationarity, partial observability, and reward specification in
multi-agent environments, while identifying promising directions for
advancing the field's theoretical understanding and industrial
applicability.
Biography: Dr. Ghada Khoriba is an Associate
Professor at the School of Information Technology and Computer Science
at Nile University, Egypt. She holds a Ph.D. in Engineering and Computer
Science from the University of Tsukuba, Japan (2010), and earned her
Master's and Bachelor's degrees in Computer Science from Helwan
University, Egypt.
Dr. Khoriba's recent research focuses on LLM/LVMs,
multi-agent reinforcement learning, and computer vision applications.
She previously served as Head of the Artificial Intelligence Department
at Ahram Canadian University and as a Computer Vision Researcher for
Egypt's National Digitization Project, MCIT.
She published more than
40+ papers, including Neural Information Processing Systems (NeurIPS)
workshop, and she was recognized among the top 40 high-impact
researchers at Helwan University. Dr. Khoriba is a member of IEEE
Computational Intelligence Society and ACM.
Keynote Speakers of ICSIE2024
![]() Prof. Farid Meziane University of Derby, UK Speech Title: Exploiting Web Resources to Support Automatic Course Design |
![]() Prof. Tarek M. Sobh University of Bridgeport, USA Speech Title: The Future Reimagined: Disruptive Technologies and the Dawn of the Autonomous Age |
![]() Assoc. Prof. Harry Yu University of Derby, UK Speech Title: Generative AI (LLM) for Software Engineering: Current Work and Challenges and Future Directions |
![]() Dr. Branislav Vuksanovic Military Technological College, Oman Speech Title: Challenges and Advances in Facial Expression Recognition: From Manual Analysis to Deep Learning |