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Habib HADJ-MABROUK

Chercheur en intelligence artificielle et sécurité ferroviaire

Présidence / Vice-présidence Recherche

Marne-la-Vallée

Bâtiment: Building: Bienvenüe

14-20 Boulevard Newton$Champs-sur-Marne$77447 Marne-la-Vallée Cedex 2

Bureau: Office: C229

https://cv.archives-ouvertes.fr/habib-hadj-mabrouk https://orcid.org/0000-0001-9322-8175 https://publons.com/researcher/1468271/habib-hadj-mabrouk/ https://scholar.google.fr/citations?hl=fr&user=aFq1RTwAAAAJ&view_op=list_works&sortby=pubdate https://univ-gustave-eiffel.academia.edu/HabibHADJMABROUK https://www.researchgate.net/profile/Habib_Hadj-Mabrouk

Habib HADJ-MABROUK

Chercheur en intelligence artificielle et sécurité ferroviaire

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

List of the 10 most recent published articles

1. Hadj-Mabrouk, H. (2021): Case-based reasoning for safety assessment of critical software. Intelligent Decision Technologies, 2020, 14 (4), pp.463-479. DOI : 10.3233/IDT-200016. https://content.iospress.com/articles/intelligent-decision-technologies/idt200016

2. Hadj-Mabrouk, H. (2021): Contribution of Machine Learning to Rail Transport Safety. Chapter in Book Advances of Ma-chine Learning in Clean Energy and the Transportation Industry. Nova Science Publishers, Inc. Hauppauge, USA, ISBN: 978-1-68507-211-7, Series: Computer Science, Technology and Applications, BISAC: COM004000; COM094000, DOI: https://doi.org/10.52305/SJDR3905.

3. Hadj-Mabrouk, H. (2021): Human Factors Affecting Railway Safety: Approach for Considering Human Errors in Investi-gations. Chapter 4. In: Hassan, S., & Mohamed, A. W. (Eds). Handbook of Research on Decision Sciences and Applications in the Transportation Sector. IGI Global. June, 2021, DOI: 10.4018/978-1-7998-8040-0. https://www.igi-global.com/book/handbook-research-decision-sciences-applications/267371.

4. Hadj-Mabrouk, H. (2021): Decision Support Approach for Assessing of Rail Transport: Methods Based on Artificial In-telligence and Machine Learning. Chapter 5. In: Hassan, S., & Mohamed, A. W. (Eds). Handbook of Research on Decision Sciences and Applications in the Transportation Sector. IGI Global. June, 2021, DOI: 10.4018/978-1-7998-8040-0. https://www.igi-global.com/book/handbook-research-decision-sciences-applications/267371.

5. Hadj-Mabrouk, H. (2020): Application of Case-Based Reasoning to the safety assessment of critical software used in rail transport. Safety Science, Elsevier, 2020, 131 (104928), DOI: 10.1016/j.ssci.2020.104928. https://www.sciencedirect.com/science/article/pii/S0925753520303258.

6. Hadj-Mabrouk, H. (2019): Contribution of Artificial Intelligence to Risk Assessment of Railway Accidents. Urban Rail Transit, Springer Open, 2019, 5 (2), pp. 104-122. DOI: 10.1007/s40864-019-0102-3. https://link.springer.com/article/10.1007/s40864-019-0102-3.

7. Hadj-Mabrouk, H. (2019): A Hybrid Approach for the Prevention of Railway Accidents Based on Artificial Intelligence. In: Vasant P., Zelinka I., Weber GW. (eds). Intelligent Computing & Optimization, ICO 2018, Advances in Intelli-gent Systems and Computing, vol. 866, Chapter 41, pp. 383-394, Springer, Cham, 2019, ISBN: 978-3-030-00979-3. DOI: 10.1007/978-3-030-00979-3_41. https://link.springer.com/chapter/10.1007/978-3-030-00979-3_41

8. Hadj-Mabrouk, H. (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

9. Hadj-Mabrouk, H. (2018). A Hybrid Approach for the Prevention of Railway Accidents Based on Artificial Intelligence. In: Vasant, P., Zelinka, I., Weber, GW. (eds) Intelligent Computing & Optimization. ICO 2018. Advances in Intelligent Systems and Computing, vol 866. Springer, Cham. https://doi.org/10.1007/978-3-030-00979-3_41

10. Hadj-Mabrouk, H. (2017): Contribution of learning CHARADE system of rules for the prevention of rail accidents, Intelligent Decision Technologies, 11, 4, pp.477-485, DOI: 10.3233/IDT-170304. https://content.iospress.com/articles/intelligent-decision-technologies/idt304

<ul><li>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</li></ul><p> <p><ul></ul></p></p><ul><li>HADJ MABROUK, Habib (2020): Application of Case-Based Reasoning to the safety assessment of critical software used in rail transport, Safety Science, Elsevier, 131, <a href="https://portail.ifsttar.fr/proxy/1a1d4fe3/http/www.sciencedirect.com/science/article/abs/pii/S0925753520303258">www.sciencedirect.com/science/article/abs/pii/S0925753520303258</a></li></ul><p> </p><ul><li>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, <a href="https://portail.ifsttar.fr/proxy/1a1d4fe3/http/www.aimspress.com/article/doi/10.3934/ElectrEng.2020.1.19">www.aimspress.com/article/doi/10.3934/ElectrEng.2020.1.19</a></li></ul><p> </p><ul><li>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</li></ul><p> </p><ul><li>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, <a href="https://portail.ifsttar.fr/proxy/1a1d4fe3/http/www.aimspress.com/article/10.3934/ElectrEng.2019.1.33">www.aimspress.com/article/10.3934/ElectrEng.2019.1.33</a></li></ul><p> </p><ul><li>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</li></ul><p> </p><ul><li>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</li></ul>