Mohamed Sallak is a full professor in safety/security of transportation systems. He teaches and conducts his research within the Heudiasyc laboratory and the department of computer engineering (GI) at the Université de technologie de Compiègne (UTC), a member of Sorbonne Universities.
Yasmine Benghename
Title: Security and safety risk analysis for the autonomous train. Thesis Supervision: Mohamed Sallak (50%), Ahmed Lounis (50%). Duration: 06/2023 - 06/2026. Funding Type: Co-financing by the region, IRT-Railenium, and the laboratory.
Jules Clerc
Title: Automatic generation of interactive narratives using LLMs. Duration: 09/2024 - 09/2027. Thesis Supervision: Mohamed Sallak (25%), Domitile Lourdeaux (25%), ALTEN Supervisor (50%). Funding Type: ALTEN CIFRE grant.
Evan Samzun
Title: Contribution to the dependability assessment of GNSS systems used in autonomous train shuttles. Duration: 09/2024 - 09/2027. Thesis Supervision: Mohamed Sallak (100%), Joelle Al Hage (supervision). Funding Type: SYNTONY CIFRE grant.