Prof. Abdelkhalak El Hami is a Full Professor of Exceptional Class, Second Level at the National Institute of Applied Sciences (INSA) of Rouen Normandy, France. He currently serves as Deputy Director of the Laboratory of Mechanics of Normandy (LMN), Head of the Mechanical Chair at the National Conservatory of Arts and Crafts (CNAM) in Normandy, Head of the Mechanical Department at INSA Rouen, and Editor-in-Chief of six book series published by ISTE Editions, Wiley & Son, and Elsevier. Prior to his current position, he served as Associate Professor at the University of Technology of Belfort-Montbéliard (UTBM) from 1993 to 1999, before being appointed Full Professor at INSA Rouen Normandy in 2000, a position he has held ever since.

His research focuses on the introduction of reliability and uncertainty quantification into computational and experimental mechanics, with particular emphasis on numerical methods for identification and optimization, reliability analysis, modeling and reduction of large-scale structural dynamics and fluid-structure interaction systems, intelligent polymer-composites, and hydrogen storage. He has also developed two dedicated software tools (CAROD and CAROD Topology) dedicated to Reliability-Based Design Optimization and Reliability-Based Topology Optimization, respectively.

Professor El Hami is the author and co-author of more than 87 international books and over 500 papers published in peer-reviewed journals and international conferences. His most recent books include Multi-physics Optimization (Wiley & Son, 2025) and Methods and Applications of Artificial Intelligence (Wiley & Son, 2025). He is Editor-in-Chief of six major book collections, including the Reliability of Multiphysical Systems Set (19 volumes) and the Mathematical and Mechanical Engineering Set (12 volumes), both published by ISTE/Wiley & Son. He is also Editor-in-Chief of the open-access journal Uncertainties and Reliability of Multiphysical Systems, and served as Associate Editor of The International Journal for Simulation and Multidisciplinary Design Optimization (Scopus-indexed) from 2017 to 2025. According to Google Scholar, his work has received over 4,375 citations with an H-index of 36.

Throughout his career, Professor El Hami has supervised 60 doctoral theses, 21 post-doctoral researchers, and 150 Master's students, and has participated in over 250 PhD and HDR examination juries. He has delivered 45 keynote lectures at major international conferences. He has led and managed several large-scale European projects, including the TEMPUS MEDA project (2003–2008, €550,000) on university entrepreneurship and professional training, and served as quality controller and appointed expert for the European TEMPUS-JPHES project (2008–2012, €1,200,000). He also served as project manager of the MOV'EO International Competitiveness Cluster (2008–2014) and conducted institutional expertise missions across five National Schools of Applied Sciences (ENSA) in Morocco.

Professor El Hami holds a PhD in Mechanical Engineering from the University of Franche-Comté, Besançon, France (1992), and an HDR (Habilitation to Direct Research) in Mechanics from the same university (2000). His academic excellence has been recognized through numerous prestigious awards, including the International Grand Prize of the French Society of Microtechnology (1991), the Gold Micron Award at MICRONORA International Microtechnology (1992), two Innovation Awards "Pépites" from Normandie Aerospace (2013 and 2017), and the Move'o Award — Best AUDACE Project 2005–2015 (2015).

Prof. Bertrand Rose is the 

Prof. Nguyen Dinh Lam is the 

Dr. Ajith Abraham is the Vice-Chancellor of Sai University, Chennai, India. Prior to joining Sai University, he held vice-chancellor positions at several prestigious institutions and served as the Founding Director of the Machine Intelligence Research Labs (MIR Labs), a non-profit scientific network based in Seattle, USA, dedicated to innovation and research excellence. With over 35 years of multidisciplinary research experience, Dr. Abraham has led or participated in research projects totaling more than $110 million, funded by the United States, the European Union, Italy, the Czech Republic, France, Malaysia, China, and Australia.

He is the author or co-author of over 1,500 publications, including 561 journal articles, 558 conference papers, 85 book chapters, 9 authored books, 58 edited books, 187 edited conference proceedings, and 13 invited articles or special contributions. Several of his works have been translated into Chinese, Russian, and Japanese. His publications are widely indexed in Scopus (~1,400 articles) and Web of Science (>1,000 articles), and according to Google Scholar, his work has received over 63,000 citations with an H-index above 118.

Dr. Abraham has collaborated with renowned researchers from MIT (USA), University of Cambridge (UK), Harvard University (USA), and Oxford University (UK), and has delivered over 250 plenary talks and tutorials in more than 20 countries. He served on the IEEE Systems, Man, and Cybernetics Society Technical Committee on Soft Computing (2008–2021) and was a Distinguished Lecturer for the IEEE Computer Society (2011–2013). He was also the Editor-in-Chief of Engineering Applications of Artificial Intelligence (Elsevier, 2016–2021) and has served on the editorial boards of more than 15 international ISI-indexed journals.

Dr. Abraham is consistently ranked among the top 2% of most-cited scientists worldwide (Stanford/Elsevier) and is in the top 0.01% of cited scientists in engineering and computer science according to ScholarGPS (2024). He holds a Ph.D. in Artificial Intelligence from Monash University, Melbourne (2001), an M.Sc. from Nanyang Technological University, Singapore (1998), and a B.Tech (Hons) from the University of Calicut (1990).

Dr. Parthasarathy Subashini is Professor of Computer Science and Coordinator of the Centre for Machine Learning and Intelligence at Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore, India. With over 30 years of research and teaching experience, she has been instrumental in advancing AI research and education across disciplines.

Her research interests include Artificial Intelligence, Computational Intelligence, Image Analysis, Pattern Recognition, Neural Networks, and Nature-Inspired Computing, with applications spanning science and engineering domains.

Dr. Subashini has authored over 170 research publications, including 10 books, 12 book chapters, 1 monograph, and 172 research articles published by IEEE, Springer, and other reputed international publishers. She holds 4 patents and has led 17 research projects worth over ₹5 crores, funded by prestigious agencies including DRDO, DST, SERB, and UGC. She has mentored over 10 Ph.D. scholars and more than 100 postgraduate students.

She has established international collaborations with University of Wyoming (USA), Université Hassan II Casablanca (Morocco), Brunel University (UK), Swansea University (UK), Thompson Rivers University (Canada), Université Hassan I (Morocco), and Athabasca University (Canada), and has participated in knowledge-sharing events across 17+ countries.

Dr. Subashini is an active member of IEEE, IEEE Computational Intelligence Society, and Computer Society of India. She served as IEEE Chair for Women in Computing (2015–2016) and is a recipient of the DST-DAAD (PPP) Fellowship (2011–2013).

Mr. Vincent Joly is the 

Mr. Jacques Schaffnit, President of Griffine Industries and Eranova, is an industrial executive with a strong international track record. He began his career at Total Hutchinson, where he established subsidiaries in Argentina and Mexico before leading operations across North America. He later joined Valeo as Vice President, strengthening his expertise in global industrial management.

He went on to serve as CEO of four LBO-backed companies across sectors ranging from heavy steel to telecommunications, driving transformation and value creation.

Since 2021, he has been developing his own industrial group while also leading two startups, combining entrepreneurial agility with deep operational experience.