Martin Thebault

Martin Thebault is a CNRS Research Fellow affiliated with the LOCIE laboratory, a joint research unit of the French National Center for Scientific Research (CNRS) and University of Savoie Mont Blanc. His work operates under the SITE research theme within LOCIE, focusing on interdisciplinary energy systems engineering.

His research portfolio spans Urban solar energy integration, fundamental radiative and thermo-convective transfer phenomena, natural convection modeling, and multi-criteria decision support frameworks. He actively incorporates statistical machine learning techniques—including Proper Orthogonal Decomposition (POD) and Convolutional Neural Networks (CNN)—to analyze complex energy systems and optimize sustainable solutions.

As a CNRS Research Fellow (Section 10, INSIS Institute), his position provides stable research funding through France's national scientific agency. The LOCIE laboratory serves as his primary research base, connecting fundamental physics with practical urban energy applications. While specific student supervision details aren't documented, his methodological expertise in machine learning and transfer phenomena offers potential avenues for graduate research in computational energy engineering.