Plenary Speakers
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.
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