Mourad Telmini earned a PhD in Atomic Physics from the University of Paris-Sud (Paris-Saclay) in 1993. He has been President of the Tunisian Physical Society (2005–2007), member of the C13 commission of the International Union for Pure and Applied Physics (2006–2014), Director General of the National Center for Nuclear Science and Technology (2010–2012), and Vice-Chair of the African Commission on Nuclear Energy (2011–2014). Presently, he serves as Professor of Physics at the University of Tunis El Manar, Director of the Research Laboratory on Atomic and Molecular Spectroscopy & Applications (LSAMA), Coordinator of the Tunisian Quantum Network QUANTUN, and President of the Tunisian Metrology Association. He is a visiting professor and researcher in several universities (Paris-Saclay, Le Havre-Normandy, University of São Paulo, University of South Africa, and Purdue University). His main research topics include: Quantum Physics in atomic and molecular systems, especially Rydberg states; Coherent control of molecular processes with ultra-short laser pulses; Coherent transport of cold atoms and Bose-Einstein condensates in moving optical lattices; and Quantum computing for molecular systems.

HDR. Dr.-Ing. Nesrine Chehata, Senior Lecturer at Bordeaux INP, is an expert in geospatial technologies and artificial intelligence for Earth Observation and the environment. She has worked at CNES (the French Space Agency), IGN (the French National Mapping Agency), and IRD-Tunisia (French Research and Development Institute). She also serves as an expert for the European Space Agency’s Environment Group. Since 2016, she has co-founded and presided over AGEOS, the African Association for Geospatial Development, where she actively promotes geospatial technologies across Tunisia and Africa, building capacity through engagement with public institutions, local authorities, students, and children. A strong advocate for open geographic data, she has contributed to inclusive governance, innovation, and entrepreneurship by promoting the reuse of open geodata. She leads hackathons focused on open geodata, artificial intelligence, and climate change adaptation. She also supports startups and companies in the climate-oriented geospatial sector. Since 2021, she has served as President of the National Forum on Climate Change Adaptation (FNACC) and currently chairs the UNESCO Chair in Climate Change Adaptation at Bordeaux INP, France. Through these roles, she highlights the importance of space-based technologies in climate action and supports local initiatives to build sustainable and resilient African cities .

Amine is leading the Applied AI department at InstaDeep. He joined the company eight years ago after a career in software development where he lead engineering teams in various industries (semiconductor, consumer electronics, investment banking). Initially, Amine started deep learning and AI as a hobby, but ended up dropping everything to pursue his goal of deploying artificial intelligence to solve real life problems. He is driven by the ambition of replacing classic operational research techniques with AI. He has a Master of Engineering in software and a Master in Business Administration. .

Aymen is a Machine Learning Engineer at InstaDeep Ltd., with a focus on solving real-world problems through cutting-edge AI solutions. He holds an engineering degree from the National School of Statistics and Information Analysis (ESSAI). Aymen brings a versatile skill set rooted in computer vision, reinforcement learning, and genomics, applying advanced techniques to build robust, scalable systems. Beyond his technical work, Aymen is an active voice in the AI community—previously serving as Chairman of the ESSAI Machine Learning Club, where he led initiatives to foster collaboration, innovation, and education in the field.

Wiem Khlifi is an AI Research Engineer at InstaDeep Ltd., specializing in multi-agent reinforcement learning. She holds an M.Sc. in Computer Science from the National School of Computer Sciences (ENSI). A versatile and research-driven professional, Wiem's expertise spans RL, federated learning, and NLP, where she has contributed to several open-source libraries such as Jumanji and MAVA and co-authored multiple papers accepted at top-tier conferences. Beyond her technical work, she’s an active member of the AI community—engaging in lecturing, judging, and previously serving as Vice Chairwoman of the IEEE ENSI CIS Chapter.

Dr. Imen Jendoubi is an AI Research Engineer in InstaDeep, where she is dedicated to developing innovative algorithms and advancing research in artificial intelligence. She obtained her Ph.D. in Electrical and Computer engineering from McGill university, focusing on integrating reinforcement learning into energy management and planning. Dr. Imen’s research particularly emphasizes the applications of multi-agent reinforcement learning for automating complex systems across various industries. In addition to her research, Dr. Imen has lectured at various universities, fostering the development of future AI professionals

Jawher holds a Master's degree in Big Data and Artificial Intelligence from Paris Dauphine University. He is currently an AI Research Engineer at InstaDeep, working on the DeepPCB project, where he tackles challenges at the intersection of Reinforcement Learning (RL) and Large Language Models (LLMs).

Mohamed Mejri is a Machine Learning Engineer at InstaDeep, where he works on cutting-edge large language model (LLM) projects. He holds a degree in Computer Science and Engineering from ENICarthage and has experience across reinforcement learning (RL), natural language processing (NLP), and scalable LLM adaptation. His current focus is on efficient finetuning strategies and practical post-training techniques to make LLMs more adaptable and impactful.

Nizar Ben Hmida is an AI Research Engineer at InstaDeep who specializes in building practical Large Language Model solutions for real-world business problems. Holding an M.Sc in Computer Science from ESPRIT, he combines technical knowledge with a client-focused approach to create effective AI applications.