Sylvie Thiébaux

Sylvie Thiébaux is a Senior Professor AAAI Fellow at The Australian National University, affiliated with the CS department. She is a professor of computer science at ANU and a directrice de recherche at the University of Toulouse. At ANU, she is a member of the Planning and Optimisation research group in the School of Computing. In Toulouse, she is a member of the Artificial and Natural Intelligence (ANITI) institute and the RIS group at the LAAS-CNRS Laboratory. Her research interests include artificial intelligence, particularly automated planning, scheduling, diagnosis, search, and their integration with optimisation, machine learning, and verification, as well as their applications to energy, manufacturing, and transport.

Sylvie Thiebaux is a researcher at The Australian National University and LAAS-CNRS, University of Toulouse, focusing on Artificial Intelligence, Automated Planning, Heuristic Search, and Energy systems. Her work explores advanced planning algorithms, heuristic search techniques, and their applications in energy management and smart grid systems. Thiebaux has contributed to the development of planning frameworks that integrate probabilistic reasoning, decision-theoretic approaches, and game-theoretic models. Her research also addresses challenges in numeric planning, domain-independent heuristics, and robust optimization under uncertainty. She has published extensively on topics such as PDDL axioms, interval-based relaxation, and deep learning for generalized planning.