Jean-Baptiste Pomet

Jean-Baptiste Pomet is a Directeur de Recherche (Research Director) at INRIA Sophia Antipolis - Méditerranée, holding a full-time senior researcher position. He leads the McTAO research team (Modélisation, Commande et Transport, Applications à l'Astronautique, à l'Optimisation et à la Médecine) and maintains strong affiliations with Université Côte d'Azur as evidenced by institutional logos and links on his webpage.

Dr. Pomet's research focuses primarily on Nonlinear Control, with specific expertise in nonlinear stabilization, optimal control, equivalence and classification of control systems, and applications to aerospace engineering. His work spans theoretical foundations of control theory to practical applications in spacecraft trajectory optimization, micro-robotics, and hydrological modeling. He has developed significant contributions in areas such as flatness, dynamic equivalence, and averaging methods for oscillatory control systems.

Analysis of his publication record from 2006-2021 reveals a consistent research trajectory centered around nonlinear control theory with increasing applications to specialized domains. Early work focused on fundamental theoretical aspects of control system equivalence and linearization, while more recent publications demonstrate expansion into micro-robotics (magneto-elastic micro-swimmers), marine navigation, and time-varying network stability. His research maintains strong connections between mathematical rigor and practical engineering applications, particularly in aerospace contexts.

Throughout his career, Dr. Pomet has supervised numerous PhD students across diverse topics within control theory, including time-varying delay systems, magnetic micro-swimmers, orbital transfers with low-thrust propulsion, and controllability of bio-inspired systems. His supervision record spans from 1994 to 2020, demonstrating sustained mentorship activity over more than two decades.

As team leader of McTAO, Dr. Pomet oversees a research group focused on modeling, control, and transport with applications to astronautics, optimization, and medicine. The team appears to maintain strong collaborative ties with aerospace engineering groups, as evidenced by publications on orbital transfers and spacecraft control. His research program integrates mathematical control theory with practical implementation challenges across multiple engineering domains.