معرفی
Abdel Lisser is a Professor at CentraleSupélec, affiliated with the Laboratory of Signals and Systems (L2S). His research focuses on stochastic optimization, distributionally robust optimization, and game theory with applications in control systems, networks, and autonomous systems. He has made significant contributions to chance-constrained programming, Markov decision processes, and neurodynamic optimization. His work bridges mathematical foundations with practical applications in energy management, telecommunications, and machine learning. Notable recent research includes the development of physics-informed neural networks for solving nonlinear optimization problems and stochastic trajectory planning for autonomous vehicles. Lisser collaborates internationally, with publications in top journals such as *Journal of Optimization Theory and Applications* and *IEEE Transactions on Neural Networks and Learning Systems*. He advises on projects involving robust control and decision-making under uncertainty. His laboratory, L2S, is a leading center for systems analysis and optimization at Paris-Saclay.
