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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.
- Email: mohamed.sallak@hds.utc.fr
- Phone: +33 6 63 20 54 93
Research Areas
- Application of uncertainty theories and graphical models in RAMS (Reliability, Availability, Maintainability, Safety) analysis for railway systems.
Academic Career and Positions
- Since 2025: Full Professor in safety/security of railway systems, Department of Computer Engineering, UTC.
- 2009 – 2024: Associate Professor (Maître de Conférences) in safety/security of railway systems, Department of Computer Engineering, UTC.
- UTC Pedagogical Responsible for the specialised Master's degree in “Railway and Urban Transport Systems”.
- 2015: Habilitation to Supervise Research (HDR) from UTC. Title: Dependability prediction and risk assessment under uncertainty: Application to Transportation Systems.
- 2007: Ph.D. in dependability and safe design of safety instrumented systems, National Polytechnic Institute of Lorraine (INPL), Nancy.
- 2004: Master's degree in Automatic Control, National Polytechnic Institute of Lorraine (INPL), Nancy.
Current Ph.D. Students
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.
Main Research Projects (Last 10 years)
- ECOTRAIN (2023–2026): Light and Autonomous Shuttle for Rural Branch Lines (ADEME project) – Participant.
- DRIFT-FH (2021–2025): Digitisation - Risks, Uncertainties and Fragility of Technologies related to the Human Factor (ANR project) – Participant.
- TFA (2018–2023): Autonomous Freight Train – Participant.
- MAPSYD (2017–2021): Predictive Maintenance for Transportation Systems under Data Uncertainty (ANR project) – Responsible.
- TC-Rail (2017–2021): Remote Train Operation – Participant.
- ERSAT GGC (2017–2019): ERTMS on SATELLITE Galileo Game Changer (H2020) – Participant.