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Habib HADJ-MABROUK

Chercheur en sécurité ferroviaire et intelligence artificielle

Présidence / Vice-présidence Recherche

Habib HADJ-MABROUK

Chercheur en sécurité ferroviaire et intelligence artificielle

Researcher in Railway Safety and Artificial Intelligence

Présidence / Vice-présidence Recherche

  • 1992 : Doctorat en en automatique et informatique des systèmes industriels et humains, Université Polytechnique Hauts-de-France (UPHF) 
  • 1998 : Habilitation à Diriger des Recherches (HDR), Université de technologie de Compiègne
  • 1993 à 2010 : Chercheur à l’INRETS
  • 2011 à 2019 : Chercheur à l’IFSTTAR 
  • Depuis 2020 :  Chercheur à l’Université Gustave Eiffel

QUALIFICATIONS:

  • 1998: HDR – "Accreditation to supervise research" in Railway Safety and Artificial Intelligence. University of Technology Compiègne (France);
  • 1992: PhD – in Automatic and Computer Science of Industrial and Human Systems. Polytechnic University of Hauts-de-France;
  • 1989: DEA – "Diploma of Thorough Studies" in Automatic and industrial Maintenance. University of Valenciennes (France).

FUNCTIONS:

  • Since 2020, Researcher at University Gustave Eiffel, Department: Vice-Presidency Research;
  • 2011-2019, Researcher at French Institute of Science and Technology for Transport, Development and Networks (IFSTTAR), Department: Scientific Direction;
  • 1993-2010: Researcher at French National Institute for Transport and Safety Research (INRETS), Department: Evaluation of Automated Transport Systems and their Safety (ESTAS).

Mes dernières références

My latest references

Publications

Publications

  • HADJ MABROUK, Habib (2021): Case-based reasoning for safety assessment of critical software, Intelligent Decision Technologies, IOS Press, 1, 16, 17p, https://content.iospress.com/articles/intelligent-decision-technologies/idt200016
  • HADJ MABROUK, Habib (2020): Application of Case-Based Reasoning to the safety assessment of critical software used in rail transport, Safety Science, Elsevier, 131, https://www.sciencedirect.com/science/article/abs/pii/S0925753520303258
  • HADJ MABROUK, Habib (2020): Analysis and prediction of railway accident risks using machine learning, Analysis and prediction of railway accident risks using machine learning, AIMS Electronics and Electrical Engineering, AIMS Press, 4, 1, pp.19-46, https://www.aimspress.com/article/doi/10.3934/ElectrEng.2020.1.19
  • HADJ MABROUK, Habib (2019): Contribution of Artificial Intelligence to Risk Assessment of Railway Accidents, Urban Rail Transit, SpringerOpen, 5, 2, pp.104-122, https://link.springer.com/article/10.1007/s40864-019-0102-3
  • HADJ MABROUK, Habib (2019): Contribution of artificial intelligence and machine learning to the assessment of the safety of critical software used in railway transport, AIMS Electronics and Electrical Engineering, 3, 1, pp.33-70, http://www.aimspress.com/article/10.3934/ElectrEng.2019.1.33
  • HADJ MABROUK, Habib (2018): A Hybrid Approach for the Prevention of Railway Accidents Based on Artificial Intelligence. In : Advances in Intelligent Systems and Computing, Springer Verlag, pp.383-394, https://link.springer.com/chapter/10.1007/978-3-030-00979-3_41
  • HADJ MABROUK, Habib (2017): Contribution of learning CHARADE system of rules for the prevention of rail accidents, Intelligent Decision Technologies, 11, 4, pp.477-485, https://content.iospress.com/articles/intelligent-decision-technologies/idt304

  • HADJ MABROUK, Habib (2021): Case-based reasoning for safety assessment of critical software, Intelligent Decision Technologies, IOS Press, 1, 16, 17p, content.iospress.com/articles/intelligent-decision-technologies/idt200016

    • HADJ MABROUK, Habib (2020): Analysis and prediction of railway accident risks using machine learning, Analysis and prediction of railway accident risks using machine learning, AIMS Electronics and Electrical Engineering, AIMS Press, 4, 1, pp.19-46, www.aimspress.com/article/doi/10.3934/ElectrEng.2020.1.19

    • HADJ MABROUK, Habib (2019): Contribution of Artificial Intelligence to Risk Assessment of Railway Accidents, Urban Rail Transit, SpringerOpen, 5, 2, pp.104-122, link.springer.com/article/10.1007/s40864-019-0102-3

    • HADJ MABROUK, Habib (2019): Contribution of artificial intelligence and machine learning to the assessment of the safety of critical software used in railway transport, AIMS Electronics and Electrical Engineering, 3, 1, pp.33-70, www.aimspress.com/article/10.3934/ElectrEng.2019.1.33

    • HADJ MABROUK, Habib (2018): A Hybrid Approach for the Prevention of Railway Accidents Based on Artificial Intelligence. In : Advances in Intelligent Systems and Computing, Springer Verlag, pp.383-394, link.springer.com/chapter/10.1007/978-3-030-00979-3_41

    • HADJ MABROUK, Habib (2017): Contribution of learning CHARADE system of rules for the prevention of rail accidents, Intelligent Decision Technologies, 11, 4, pp.477-485, content.iospress.com/articles/intelligent-decision-technologies/idt304