Dr. Marc Girod-Genet received an engineering degree in Telecommunications and Advanced Techniques with distinction from EPITA, Paris, France, in 1994; a MS degree in Computer Science from Stevens Institute of Technology, Hoboken, New Jersey, USA, in 1995; and a PhD degree with distinction in Computer Science from the University of Versailles, France, in 2000.

Currently he is an Associate Professor in the Wireless Networks and Multimedia Services Department (RS2M) at the Institut Mines-Télécom - TELECOM SudParis (ex INT) and an Associate Researcher at CNRS (UMR 5157 SAMOVAR). His current research interests include wireless and mobile networks, sensor networks and BANs (Body Area Networks), eHealth and wellbeing/aging well, energy efficiency and Smart Grids, data/information modeling and ontology, data sharing environments (M2M, IoT, WoT), service discovery and service/context management environments, context awareness, and machine learning. In these areas, he has published more than 40 conference papers and has a patent in machine learning. In addition to his research achievements and extensive professional service, he is a dedicated teacher and in particular coordinates a certified training on IoT CES "Internet des objets (IoT), conception de solutions."

From March 2013, Dr. Girod-Genet has served as an ETSI rapporteur/contributor/expert within technical committees TC SmartBAN, TC SmartM2M and EP eHealth. Within the AIOTI (Alliance for Internet of Things Innovation), he has been an active member and contributor in working group on "IoT Standardization" (WG3). He also served as a Technical Program Committee member of IEEE conferences and as a reviewer for IEEE conferences and journals such as Communications Magazine and Transactions on Wireless Communications. He has been involved in organizing major international conferences symposia and events such as Globecom Wireless Communication symposium and ASWN workshop.