Organizing Committee

Ohbyung Kwon is a Professor at Kyung Hee University. His research focuses on digital innovation, and the adoption and impact of emerging technologies, including artificial intelligence and quantum computing technologies. He has published extensively in internationally recognized academic journals and has been actively involved in interdisciplinary research projects bridging technology, management, and policy. He also serves the academic community through editorial and review activities for scholarly journals and conferences.

Young-Hun Kwon is a Professor in Intelligent Information & Quantum Engineering at Hanyang University, South Korea. He received his B.Sc. from Hanyang University and completed his M.Sc. and Ph.D. in Theoretical Physics at the University of Rochester, USA. He has previously served as a researcher at the University of Minnesota. His research interests include quantum information, quantum computing, and artificial intelligence.

Beya OUERTANI obtained her Bachelor's Degrees in physical sciences, her "DEA" in quantum physics, her PhD, and her habilitation, in physics, about thin films for low cost solar cells, at the Faculty of Sciences of Tunis-University of Tunis El Manar. She had been researcher at the Photovoltaic and Semiconductor Materials Laboratory,(LPMS) ENIT, Tunisia. Then, researcher at the Laboratory of Semiconductors, Nanostructures and Advanced Technology (LSNTA), and she has been researcher at the Laboratory of Phototovolaîc (LPV) at the Research and Technology Center of Energy (CRTEn), Science and Technology Park of Borj Cedria. She has been teaching at the Higher Institute of Environmental Sciences and Technologies of Borj Cédria, University of Carthage. Since 2025 she has been teaching at the Preparatory Institute for Engineering Studies El Manar (“IPEIEM”)-University of Tunis El Manar, and researcher at the Laboratory of Mechanical, Production and Energy (LMPE)-(ENSIT), University of Tunis.

Andre Tanus Cesario de Souza is a faculty member in the Faculty of Physics at the Federal University of Minas Gerais (UFMG), Brazil. He holds a Ph.D. and M.Sc. in Theoretical Physics with a focus on Quantum Information Theory from UFMG, along with a Bachelor’s degree in Physics with emphasis on Mathematical Physics. His research interests include quantum information theory, foundations of quantum mechanics, classical information theory, and quantum thermodynamics. He is a member of the Enlight/UFMG Research Group in Quantum Information Theory and actively contributes to research and education in quantum sciences through academic and scientific collaborations.

Yong Zhang is a Professor in the Electrical and Computer Engineering Department at the University of North Carolina at Charlotte. He is affiliated with the Optoelectronics Center and the Nanoscale Science Ph.D. Program, and also serves as an Adjunct Professor in the Department of Physics and Optical Science. His research focuses on optoelectronics and nanoscale science, with strong interdisciplinary contributions to engineering and applied physics.

Siddhartha Bhattacharyya is a Senior Researcher at VSB – Technical University of Ostrava, Czech Republic. He is a Full Foreign Member of the Russian Academy of Natural Sciences and the Russian Academy of Engineering, and a Fellow of several prestigious professional bodies in the UK and India. Prof. Bhattacharyya’s academic and research work spans interdisciplinary engineering and applied sciences, with significant contributions to international research collaborations. He is actively involved in scholarly publishing, peer review, and global academic leadership through his affiliations with IEEE, ACM, and other professional organizations.

Jose Rosas-Bustos is a researcher at the University of Waterloo, Canada, specializing in quantum communication, quantum information processing, and cybersecurity. His work focuses on identifying hidden vulnerabilities in quantum systems and advancing secure quantum technologies by leveraging fundamental principles of quantum mechanics. He has contributed to both academic and applied research, authoring peer-reviewed publications and securing multiple patents related to cloudless computing and decentralized system architectures. Mr. Rosas-Bustos’s research bridges theoretical quantum science with practical implementations, positioning him as an emerging contributor in quantum integrity, secure computing, and data privacy.

Teo Tee Hui is a Senior Lecturer at the Singapore University of Technology and Design (SUTD), affiliated with the Information Systems Technology and Design (ISTD) pillar. He holds a Master of Engineering and Ph.D. in Electrical and Electronic Engineering from the National University of Singapore and Nanyang Technological University, respectively. Prior to academia, he spent over a decade in industry as a senior integrated circuits (IC) designer with organizations including Sharp, ST Microelectronics, and Matsushita, and later served as a Principal Investigator at A*STAR’s Institute of Microelectronics. His research interests include IC design, device characterization and modeling, and design science education. Dr. Teo is a Senior Member of IEEE and a Fellow of the Institution of Engineers Singapore (IES).

Hendry Y. Nanlohy is a professor of mechanical engineering specializing in advanced fuel engineering, combustion physics, and functional materials for energy systems. His recent work incorporates quantum mechanical modeling to analyze electron-molecule interactions and catalytic behavior in next-generation biofuel materials. He has published widely in international journals and is recognized for integrating materials characterization, quantum-level analysis, and applied combustion engineering to advance sustainable energy technologies.

Mohamad Fawzi Mahomoodally is Professor and Dean of the Faculty of Medicine and Health Sciences at the University of Mauritius and a Harvard University alumnus. His research expertise spans biopharmaceuticals, biomedical sciences, and health sciences, with a strong international academic presence as a visiting professor in South Africa, India, and China. He has authored more than 635 scientific publications and delivered over 50 keynote and plenary lectures worldwide. Throughout his career, he has mentored more than 200 undergraduate students and over 15 PhD scholars and postdoctoral fellows. He has been recognized as a TWAS-ROSSA Young Affiliate and a member of the Global Young Academy. He has also received several international distinctions, including leadership and scientific excellence awards. For four consecutive years, he has been listed among the world’s top 2% of scientists by Stanford University.

Tamara Amro, MSc, is a researcher in the Department of Applied Physics at the Rachel and Selim School of Engineering, Hebrew University of Jerusalem, Israel. Her work focuses on applied physics and related interdisciplinary research within engineering and scientific domains. She is actively involved in academic research, collaboration, and knowledge exchange through her institutional and scholarly activities.

Jintai Ding, PhD, is the Charles Phelps Taft Distinguished Professor Emeritus at the University of Cincinnati. He is a leading expert in cryptography and post-quantum security and is widely recognized as the inventor of the first post-quantum key exchange based on Learning With Errors (LWE). His research has made foundational contributions to post-quantum cryptography, lattice-based methods, and quantum-resistant security systems.

Tuan-Vinh Le is a faculty member in the field of Artificial Intelligence and Information Security at Fu Jen Catholic University, Taiwan. His academic work focuses on AI technologies, information security, and related computational research areas. He is actively engaged in teaching, research, and academic collaboration, contributing to advancements in intelligent systems and secure information technologies.

Bernard Lee is the Founder and CEO of HedgeSPA, a boutique investment analytics firm leveraging AI, big data, and cloud technologies. Previously, he was an award-winning Managing Director at BlackRock’s Portfolio Management Group in New York and has held academic roles in finance and analytics. Dr. Lee holds degrees from Princeton University, Stanford University, and Imperial College London, and has authored books and numerous journal articles in quantitative finance and analytics.

Jon Links is a Reader in Mathematical Physics and Associate Professor in the School of Mathematics and Physics, Faculty of Science, The University of Queensland, Australia. His research focuses on mathematical physics and quantum theory, including Lie and quantised algebras, exactly solvable models, and integrable systems. He received his PhD from the University of Queensland and currently works on the design and control of integrable quantum devices.

Sergey V. Talalov is a Doctor of Physical and Mathematical Sciences and Professor in the Department of Applied Mathematics and Informatics at Togliatti State University, Russian Federation. His academic work spans applied mathematics and computational sciences, and he has contributed extensively to research and higher education through scholarly publications and academic leadership.

Domenico Zito is an academic and researcher affiliated with AGH University of Science and Technology, Poland. His work focuses on advanced engineering and technology-driven research, contributing to both academic scholarship and applied innovation. With verified institutional affiliation at AGH University, he is actively involved in research, teaching, and collaborative projects within his field, supporting the development of modern scientific and technological solutions.

Nor Aliya Hamizi is an academic and researcher affiliated with the University of Malaya, Malaysia. She is engaged in scholarly research and academic activities within her area of expertise, contributing to research development and knowledge dissemination at one of Malaysia’s leading universities. With a verified institutional email at the University of Malaya, she actively participates in academic collaborations, research initiatives, and higher education advancement.

Fabio Beltram is a Full Professor of Experimental Condensed Matter Physics and Applications (SSD: PHYS-03/A) in the Classe di Scienze at the Scuola Normale Superiore, Pisa, Italy. His research focuses on experimental physics of matter, with strong emphasis on nanoscience and applied condensed matter physics. Prof. Beltram is actively engaged in advanced research, academic leadership, and mentoring, contributing significantly to the development of innovative physical technologies and scientific excellence.

Tarun Biswas is an Associate Professor in the Department of Computer & System Sciences, Siksha Bhavana, Visva-Bharati— a Central University and an Institute of National Importance (AoP 1951), India. He is an active researcher and academic contributor in computer and system sciences, with scholarly work published and indexed on platforms such as Google Scholar and ResearchGate.

Abdulrahman K. Alnaim is an academic and researcher at King Faisal University, Saudi Arabia. His work focuses on advancing research and innovation within his field, contributing to academic development and scholarly collaboration. He is actively involved in research, education, and institutional initiatives that support scientific excellence and knowledge dissemination. Dr. Alnaim is committed to fostering academic partnerships and promoting high-quality research at both national and international levels.

Wei-Chiang Hong is a Professor and Doctoral Supervisor at the College of Shipbuilding Engineering, Harbin Engineering University, China. He is recognized as a National Overseas High-level Leading Talent (HEU, China) and serves as a Jiangsu Distinguished Professor. Prof. Hong is also a Senior Member of IEEE (SMIEEE). His research focuses on complex nonlinear dynamical system simulation and intelligent forecasting, particularly in developing advanced computational and predictive models for complex engineering systems. Through his work, he contributes to the advancement of intelligent data-driven forecasting and system modeling.