Mathieu Chevrié

Mathieu Chevrié is an Associate Professor at Bordeaux Institute of Technology (Bordeaux INP), part of University of Bordeaux, working within the Automatic Control research group and specifically the CRONE team at IMS (Laboratoire de l'intégration, du matériau au système) laboratory. His academic career spans from doctoral research to postdoctoral work and now faculty position with significant industry collaboration.

Dr. Chevrié received his Ph.D. in automatic control from Bordeaux University in July 2016, with thesis work focused on electrothermal modeling of automotive electrical components. His research specifically addressed controlling electrical currents to prevent overheating due to contact resistance degradation in connectors. From 2016 to 2019, he worked as a postdoctoral researcher at IMS laboratory while also serving as an engineer for OpenLab Electronics and Systems for Automotive, a joint laboratory between IMS and Stellantis.

His research interests center on fractional order control systems with applications in automotive contexts. He has made significant contributions to H₂-norm analysis of fractional transfer functions and their application to electrothermal modeling. His work bridges theoretical control theory with practical automotive applications including electric vehicle charging systems, intelligent lighting control, and autonomous vehicle decision algorithms. Recent research directions include predictive maintenance and tools for analyzing and controlling switching systems.

Analysis of his publication record reveals a strong technical focus on fractional calculus applications in control theory, with consistent contributions spanning from foundational mathematical analysis to practical implementation in automotive systems. His work shows evolution from pure fractional order systems theory toward hybrid approaches combining AI with traditional model-based methods, particularly for fuel cell remaining useful life estimation.

Dr. Chevrié has been actively involved in supervising Ph.D. students on topics including intelligent lighting control, decision algorithms for autonomous vehicles, identification of criteria determining acceptability of autonomous vehicle behavior, and hybrid approaches for residual lifetime estimation of fuel cells. His research has resulted in multiple patents related to electrical connector protection and analysis.

He is a key member of the CRONE research team within the Automatic Control group at IMS laboratory, which focuses on fractional order system theory and applications. His work maintains strong connections with industry partners, particularly through the OpenLab collaboration with Stellantis, ensuring practical relevance of theoretical advancements in control systems.