I am an entrepreneur and R&D AI Engineer, founder of Zemotech, and research partner of VEDECOM since 2019. My work focuses on artificial intelligence for intelligent transportation systems, Cooperative, Connected and Automated Mobility (CCAM), and autonomous driving systems. I have contributed to several European research projects, including SUNRISE, 5GMETA, and InDeed, as well as French ANR-funded projects such as Hy5 and Revecom. My research activities center on safety assurance frameworks, virtual validation methodologies, and hybrid eXperience-in-the-Loop (XiL) testing architectures integrating simulation environments (OMNeT++, Veins, SUMO) with real hardware and vehicle platforms. I have developed 2D and 3D perception models, implemented ETSI-compliant Cooperative Awareness Messages (CAM) and Collective Perception Messages (CPM), and designed ADS vehicle control strategies leveraging V2X-based cooperative perception. In the domain of GNSS security, my work includes vulnerability assessment, implementation of jamming and spoofing attacks using SDR/USRP platforms, development of detection algorithms, and integration of GNSS threat scenarios into XiL validation frameworks. Additionally, I have contributed to roadside sensing systems combining computer vision and wireless sensing technologies, including object