Invited Speakers

Research Scientist in astronomy and astrophysics at the Institute of Applied Physics, UM6P, and previously a Postdoc at Auburn University. His research focuses on the physical and chemical properties of small bodies of the solar system, including comets and asteroids, as well as the Cosmic Microwave Background and the origin of the universe. He holds a Ph.D. in Astronomy and Space Science from Cadi Ayyad University and the University of Liège, and was a visiting researcher at ESO in Chile.

Professor of Physics, Mohammed V University in Rabat. Pr. Tayalati was part of the ATLAS collaboration at the LHC which led to the observation of the Light-by-Light scattering. He is an honorary fellow of the Islamic World Academy of Sciences and has been awarded the prestigious "Mustafa Prize" for all his contributions in physics.

Resident Member, Hassan II Academy of Science and Technology. High Energy Nuclear Physics - Faculty of Sciences, Mohammed V University in Rabat. She received the prestigious "L'Oréal-UNESCO Award for Women in Science". She made significant contributions to the ATLAS collaboration at the LHC/CERN, which led to the discovery of the Higgs Boson.

Resident Member, Hassan II Academy of Science and Technology. Pr. Benyoussef's main research interest is in Ab-initio calculation and Monte carlo method in Magnetism and Phase Transition, Energy (nanomaterials for photovoltaic, hydrogen storage and production, thermoelectricity), and Quantum Information.

Researcher at DIFFER, the Dutch Institute for Fundamental Energy Research in Eindhoven, Netherlands. His work centers on artificial intelligence for energy materials discovery. He builds automated, high-throughput discovery workflows, including active-learning loops, that couple quantum simulations, machine-learning interatomic potentials, and equivariant graph neural networks to accelerate the design of materials for clean energy.

Giacomo Spigler is Assistant Professor at Tilburg University, where he co-manages the AI for Robotics Lab. His main research is in Robot Learning and Deep Reinforcement Learning. However, his background and research interests are varied and span from computer science, to computational neuroscience, to general deep learning for science.

Adrian Buzatu is a physicist and data scientist who transitioned from particle physics research, including work at Fermilab and CERN, to industry. Since 2019, he has worked in startups, scale-ups, and consulting, applying data science and AI to real-world challenges. At ICPS 2026, he will discuss his journey from academia to the private sector.