Marc Chaumont

Marc Chaumont is an Associate Professor (HDR Hors-Classe) at the Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier (LIRMM) in Montpellier, France, and teaches at the University of Nîmes. He also collaborates with the IRISA laboratory in Vannes since 2024. His primary research focuses on visual data analysis, remote sensing, and steganography. Chaumont holds a Ph.D. in Computer Science from INSA Rennes and has authored nearly 100 international articles. He is a Senior Member of IEEE and an associate editor of the IEEE Transactions on Information Forensics and Security (TIFS). His work spans steganalysis, underwater imaging, coral reef ecology, and medical imaging applications. Chaumont leads collaborations with institutions like MARBEC, CIRAD, and the Astrophysics and Cosmology Laboratory (CPPM).

Key achievements include developing the Yedroudj-Net CNN for steganalysis and pioneering deep learning methods for LiDAR urban object classification. He has been recognized with the Top-3% Best Reviewer award at IEEE ICIP 2020. His research bridges computer science with environmental and medical domains, emphasizing reproducibility in deep learning experiments and societal applications like wastewater network mapping (Cart'EAUX).