Radar interference mitigation with V2X and AI:- Developing a simulator in Python (~15000 lines) to simulate the combination of road traffic / V2X communication between cars / radar sensing. Compatible with data extraction, AI, machine learning.- Design and implementation of novel interference mitigation strategies based on coordination (via V2X) of the radar band usage.- Design and implementation of a metaheuristic (in Java) to find the optimal sharing of the bandwidth in a given scenario (with more than 150 radars)- Investigation of Graph Neural Network (GNN) for line-of-sight and non-line-of-sight prediction between radars.Papers:- A First Investigation of V2X Communication for Radar Interference Mitigation (27th ITS World Congress, Hamburg, Germany, 11-15 October 202, Page 1056, PaperID 470)- Importance of Synchronizing Radars with V2X communication for Radar Interference Mitigation (2021 IEEE International Intelligent Transportation Systems Conference (ITSC))- 1 paper submitted for IEEE Vehicular Technology Conference-Spring- 1 paper in progress for IEEE AccessPatents:1 published:- Direction Based Frequency Clustering (EP4123333A1 / US20230023302A1 / CN115639527A) 1 submitted + 2 in progress

Automotive Radar Interference Mitigation with V2X and AI:- Developing a simulator in Python (~5000 lines) to generate realistic scenario with a combination of road traffic, V2X communication and radar sensing.- Implementation of different interference mitigation algorithms (Reinforcement Learning, Genetic algorithms, Multi-Agents coordination, Baselines)

6 month intership within the LeMON project.Developing a proof of concept of a new application to monitor sensors within EDF's infrastructures.Application made using Angular following the Agile practices

2 month intership within the Radio Fréquences et Millimétrique team at IMEP-LaCH. Development of an Android app to remotely pick up a phone and monitor the call quality.

4 weeks intership as a warehouseman within the handling department at the CHU-Grenoble.Discovering the work of a warehouseman and how CHUs are operating.

6 weeks internship. Development of an Image registration algorithm in Python, applied to cardiovascular anomaly detection on a mouse.