InnoComp 2026 Invited Speakers
Prof. Dr. El-Ghazali Talbi
El-Ghazali Talbi is a full Professor at the University of Lille. His research interests include metaheuristics, computational intelligence, parallel and distributed optimisation, learning-based optimisation, and neuromorphic computing. He has authored more than 250 international publications, including journal and conference papers, and has delivered 52 keynotes and tutorials. With a h-index of 67 and over 24,000 citations, he is globally recognised for his contributions to computational intelligence and large-scale optimisation.
Brain-Inspired Optimization: Computational Intelligence in Neuromorphic Systems
Abstract: Neuromorphic computing introduces spiking dynamics and event-driven efficiency into the field of optimization, offering a fundamentally different computational substrate. Evolutionary and Swarm Intelligence algorithms, long recognized for their flexibility and robustness, can now be re-envisioned within this brain-inspired paradigm.
In this talk, we first outline the theoretical foundations of neuromorphic metaheuristics, examining their motivations, taxonomy, and inherent trade-offs. We then present two neuromorphic evolutionary computation frameworks that illustrate how population-based search can be implemented through spiking dynamics. Finally, we explore practical applications using open-source tools, demonstrating how to design, execute, and analyze neuromorphic optimization experiments.
Overall, the presentation highlights how spiking computation can drive a new generation of computational intelligence–based optimization methods, paving the way for impactful applications in robotics, IoT, and embedded intelligent systems.
