Prof. David Bassir

Dongguan University of Technology, China/Paris Saclay University, France

Brief Introduction: David Bassir is Professor and holds an MSc and PhD in structural optimization from the University of Franche-Comte. His administrative positions and duties included Dean at the University Institutes of Technology, University of Lorraine, Consul of Science and Technology at the French Embassy in China, General Director of Research at the ESTP-ENSAM (Paris), Space Craft engineer at GECI Technology in different Space Agencies such as Arianespace (France) and (Astrium Group) and more. Prof. Bassir was an invited visiting professor in leading universities, including TUDelft, Shanghai Jiaotong, Northwestern Polytechnical, University of Oviedo, MIT Boston and the Chinese Academy of Sciences. He published over 120 papers in journals, books and conference proceedings on various subjects of Composites materials, Parameter identification, Additive manufacturing, Structural Optimization and Multiscale modelling and analysis. He serves as a member of various expert committees in many international organizations and highly estimated scientific societies.

Prof. Yiliu Liu

Norwegian University of Science and Technology (NTNU), Norway

Brief Introduction: Yiliu Liu is a full professor at the Department of Mechanical and Industrial Engineering, Norwegian University of Science and Technology (NTNU). His main research interests include system reliability and resilience, safety-critical system and safety barrier analysis, and risk-informed decision-making etc. The applications of his research are mainly within the energy and transportation sectors. He has published more than 200 papers on international journals and conferences. Currently, Prof. Liu is a member of Norwegian Academy of Technical Science (NTVA), the co-chair of Sweden-Norway joint section of IEEE Reliability Society, the editor-in-chief for International Journal of Reliability and Safety, the leader of NTNU NATECH (natural-hazard triggered technical accident) thematic research group, and the director of International RAMS (reliability, availability, maintainability, and safety) master program at NTNU.

Assist. Prof. Hai Canh VU

University of Technology of Compiègne, France

Brief Introduction: Hai Canh Vu is currently an Assistant Professor of Reliability Engineering and Data Science at the Roberval laboratory, at the University of Technology of Compiègne, France. He received an Engineering degree in Electrical systems in 2007 in Vietnam. He obtained a master's degree and a Ph.D. in Optimization and security of industrial systems at the University of Technology of Troyes, France in 2015. His research deals with Maintenance optimisation of complex systems, Prognostics and Health Management (PHM), and other applications of Machine learning/Deep learning in the industry.

Assoc. Prof. Ngoc Duong VO

The University of Danang – University of Science and Technology (DUT), Vietnam

Assoc. Prof/ Vice Dean DINH DUONG LE

The University of Danang – University of Science and Technology (DUT), Vietnam

Prof. Abel Cherouat

University of Technology of Troyes, France

Brief Introduction: Prof. Abel Cherouat is full Professor at the University of Technology of Troyes (UTT). He received his engineer degree diploma in Mechanical Engineering in 1989 and Master degree and the Ph.D. in Mechanics of Materials Science and Mechanical Engineering from the University of Franche-Comté, France, in 1999 and 1995 respectively. From 1995 and 1997, he was postdoctoral researcher at Arts & Métiers Paris, France to develop software for composite manufacturing and numerical simulation. He has obtained the Habilitation to Supervise Research from the University of Technology of Compiegne France in 2002. Since 2003, he is full Professor at the (UTT). He is the principal investigator of many research projects and industrial partnerships at Unit Research Automatic Mesh Generation & Advanced Methods GAMMA3 of UTT. He has supervised 34 PhD thesis. He also is the author and co-author of more than a 3 books and more than 200 papers published in international journals and conferences.

Assoc. Prof. Akhil Garg

Xi’an Jiaotong-Liverpool University (XJTLU), China

Brief Introduction: Dr. Akhil Garg is an Associate Professor at the Xi’an Jiaotong-Liverpool University (XJTLU) School of Chemistry and Materials Science. Previously at Huazhong University of Science and Technology (HUST), he taught a course on “Battery failures” and remains an external advisor for the EU-funded BatCAT project. He also worked at IIT Delhi from the year 2020 to 2023. He holds a PhD from Nanyang Technological University, Singapore, which included a two-year collaboration with Rolls-Royce on Artificial Intelligence and Robust Design optimization. His research focuses on machine learning for battery synthesis, genetic programming, and AI-driven topology optimization for cleaner energy. A recognized Stanford Elsevier Top 2% Scientist for two consecutive years, he has presided over numerous projects, including an NSFC grant for deep learning-driven battery cold plate design. With over 100 peer-reviewed publications and an H-index of 47, Dr. Garg is a leading expert in his field.

Dr. SY TUAN NGUYEN

COSARI, Van Lang University, Vietnam

Brief Introduction: Dr. SY TUAN NGUYEN is Head of the Laboratory for Computational Mechanics (Lab CME) at COSARI, Van Lang University. He earned his PhD in 2010 from Université Paris-Est, specializing in computational mechanics. With more than a decade of experience in the energy industry, Dr. SY TUAN NGUYEN has leveraged his strong background in engineering, mechanics, and physics to tackle complex, real-world challenges. In recent years, his research has increasingly focused on machine learning and artificial intelligence, exploring their potential for predictive modeling, computer vision, and large language models applied to engineering and energy systems. Passionate about the use of cutting-edge AI technologies for societal impact, he is particularly committed to advancing sustainability and energy security. Dr. SY TUAN NGUYEN regularly organizes workshops on machine learning applications and is deeply engaged in training the next generation of scientists and engineers. His overarching goal is to equip young researchers with the interdisciplinary skills needed to address global challenges related to environmental sustainability and energy transition.