Erol Gelenbe FIEEE FACM FIFIP graduated from METU (Ankara, Turkey), receiving his PhD from NYU and the DSc from the Sorbonne.
His career has included the University of Michigan, INRIA, and professorships at the Universities of Liège, Paris-Saclay, Central Florida, Duke University and Imperial College. His awards include the Parlar Science Award (Turkey), Grand Prix France Télécom, UK Oliver Lodge Medal for Innovation, Imperial College Rector’s Research Award, ACM SIGMETRICS Life-Time Achievement Award, IEEE TCSC Excellence Award, Mustafa Prize, and Honorary PhDs from the Universities of Roma II, Bogaziçi (Istanbul), and Liège.
Fellow of Academia Europaea, the French National Academy of Technologies, the Turkish Science Academy, and Foreign Fellow of the Science Academies of Hungary, Poland, the Royal Academy of Belgium, the Science Academy of the OIS, and the Indian National Science Academy, he was made Chevalier de la Légion d’Honneur and Commandeur de l’Ordre national du Mérite by the President of France, Commendatore al Merito della Repubblica and Grande Ufficiale della Stella d’Italia by the President of Italy, Commandeur de l’Ordre de la Couronne by the King of Belgium, and the Cross of Officer of Merit by the President of Poland.
He graduated over 90 PhD students, including 25 women, and four of them were elected to the national academies of Canada and France. His recent election statement by the Indian National Science Academy states that he is a «pioneering researcher in Computer Systems and Networks.
Using Markovian and semi-Markov methods, he obtained several seminal analytical results regarding the page fault rates in large classes of memory management algorithms, derived the stability and optimal control of the ALOHA communication system, and the load-dependent optimal values of checkpoints for databases.
He invented new modeling and analysis methods, including the G-Network model. He invented the spiking random neural network and its deep learning, auto-associative, and reinforcement algorithms. His technological contributions include a patented optimal architecture for many-to-many communications, patented reinforcement learning routing for edge networks and the Internet, and the industrial simulation tool Flexsim.»
Dr. Hervé PANETTO is a Professor of Enterprise Information Systems at University of Lorraine.
He teaches Information Systems modelling and Artificial Intelligence at TELECOM Nancy and conducts research at CRAN (Research Centre for Automatic Control), where he is managing a research project on the use of neuro-symbolic AI for formalising models related to the cognitive interoperability of cyber-physical-social systems in Industry 5.0.
He is a member of the Academia Europaea, a member of the National Artficial Intelligence Academy (NAAI), a Fellow of the AAIA (Asia-Pacific Artificial Intelligence Association) and a Fellow of the AIIA (Artificial Intelligence Industry Alliance).
He is IEEE Senior Member. He is Editor-In-Chief of the IFAC Annual Reviews in Control journal and editor of various journals including the journal of Engineering Application of Artificial Intelligence and the Journal of Industrial Information Integration. He is a recipient of the NAAI Distinguished Artificial Intelligence Scholar award 2025.
Nosing Doeuk: Senior Partner and Director of the DIXIT Department, mc2i
A graduate of the EPITA School of Computer Engineering, he is currently a Senior Partner and Director of the Innovation ; AI Department at mc2i, a leading digital transformation consultancy.
For the past 20 years, he has supported major corporations and public administrations through their digital evolution. Deeply immersed in the startup ecosystem, he acts as a strategic advisor, helping clients anticipate technological shifts and integrate disruptive trends.
Alongside his management team, he ensures the success of large-scale Information Systems, with a specialized focus on Artificial Intelligence and advanced innovation.
Beyond his consulting work, he is committed to shaping the future of the industry by assisting leading schools in designing their technological curricula, ensuring the next generation of engineers is prepared for tomorrow’s challenges.
As a seasoned technophile with a passion for innovation, he remains driven by the firm conviction that technology must always place humanity at the heart of every challenge.
Prof. Dr. Stéphane Galland is expert in distributed artificial intelligence and multiagent systems, currently serving as Director of the CIAD research laboratory at University of Technology of Belfort Montbéliard, France.
He was appointed National AI Ambassador for Burgundy-Franche-Comté by the French Ministry for AI and Digital Technologies in 2025.
His research focuses on agent-oriented software engineering and agent-based simulation, with applications in transportation, smart cities, energy, industry 4.0, and e-health.
He is a key contributor to the ASPECS agent-modeling methodology, the SARL agent programming language, and the Janus agent run-time framework, three key tools in the multi-agent system community.
His academic leadership includes coordinating numerous research projects (including EU-funded initiatives) and supporting the creation of two spin-off companies. His work bridges academia and industry, driving innovation in AI and distributed systems.