Louis Morge-Rollet, new ORSYS Associate Professor

Can you introduce yourself in a few words?

My name is Louis Morge-Rollet, and I'm originally from Bouches-du-Rhône. I'm a former student of Grenoble INP – Esisar (2019 promotion).

What is your background (education, experience...)?

I joined the first cycle at Grenoble INP – Esisar in 2014 after my baccalaureate. In 2016, I integrated the engineering cycle and chose to follow the EIS curriculum, then specialized in Digital Communication Systems in my final year. In 2019, I began my Ph.D. at ENSTA Bretagne with a thesis topic: "Radio Fingerprinting Authentication for IoT" (supported in September 2023). Additionally, I had the opportunity to work as an Assistant Temporary Teacher and Researcher for two years from October 2022 to August 2024 at UBO Brest (detached at ENSTA Bretagne).

Can you briefly explain your thesis topic?

My thesis topic was on radio fingerprinting authentication, also known as "RF Fingerprinting", for the Internet of Things (IoT). Radio fingerprinting consists of identifying a radio frequency transmitter (smartphone, connected objects, etc.) based on its imperfections. Each transmitter has unique imperfections acting as a signature, allowing us to identify it uniquely, like a biometric signature. Radio fingerprinting would enable improved IoT network security by ensuring the identity of devices emitting messages on a connected sensor network.

What is the research project that you defended for your integration within the laboratory?

My research themes mainly focus on analyzing radio communication signals under embedded constraints. I will join the ORSYS team (specialized in optical-electronic and radio-frequency systems) where I will bring complementary skills in signal processing and artificial intelligence for radio frequency signal analysis. Additionally, collaboration with the CTSYS team would be possible, especially to implement developed methods on embedded targets (CPU, GPU, FPGA, etc.).

What skills can you share?

My main skills are centered around signal analysis, particularly on radio communication signals, which I achieve through signal processing methods or artificial intelligence (automatic learning, etc.). Additionally, I have skills on implementing these methods on embedded targets, especially on CPU implementation using Tensorflow Lite or even on FPGA using hls4ml.

Where can you be found? How can you be reached?

You can reach me via my email address: Louis.Morge-Rolletgrenoble-inp.fr (Louis[dot]Morge-Rollet[at]grenoble-inp[dot]fr)