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I am an Associate Professor at the University of Technology Tarbes Occitanie Pyrénées (UTTOP), National School of Engineering of Tarbes (ENIT) located in the south-west of France, which is a member of Federal University of Toulouse Midi-Pyrénées. I have been a permanent member of its Production Engineering Laboratory since 2017.

I received a PhD degree in Automation and Production Engineering from Ecole Centrale de Nantes, France, in 2012. In January 2025, I obtained my Habilitation à Diriger des Recherches (HDR) from Université Toulouse III - Paul Sabatier. Since September 2017, I have been an Associate Professor at UTTOP, ENIT, affiliated with the Production Engineering Laboratory (LGP), within the Prognostics and Risk Management for System Resilience (PRiSM) research group. Before joining ENIT, I was a Postdoctoral Researcher at IFSTTAR and then an Assistant Professor at the University of Technology of Troyes. My research interests include predictive maintenance, system reliability, prognostics and health management (PHM), machine learning, and artificial intelligence.

I have supervised 4 postdocs, 5 PhDs, and 5 Masters working on PHM. Under my supervision, my researchers have received several prestigious recognitions, including the Best Paper Prize at the IEEE PHM 2024 Conference in Stockholm, Second Place at the Doctoral Sym- posium PHMe22, Finalist for the IFAC World Congress 2023 Application Paper Prize, and the esteemed China 2023 Outstanding Overseas PhD Student Award. I have published 80 papers in top-quality journals and at prestigious international conferences. Besides providing expert reviews for scholarly journals, I have recently organized several special sessions for the World Congress 2020 and 2023 of the IFAC, and served in the organizing committee of the European PHM Conferences 2020, 2022, and 2024 of the PHM Society. 

• Artificial Intelligence for Predictive Maintenance
  

• Fault Detection, Diagnostics, Prognostics
  

• Machine Learning, Deep Learning
  

• Optimization and Decision Intelligence

• Introduction of AI and PHM

• Mathematics for Engineers

• Evaluation Performance

• Project Management

2025: HDR IN INDUSTRIAL ENGINEERING, SCIENCE OF INNOVATION AND DEVELOPMENT.
Université Toulouse III - Paul Sabatier. Production Engineering Laboratory (LGP), UTTOP. 

Title: Contribution to failure prognostics and health management of industrial systems based on AI: Challenges and solutions

HDR mentor: Kamal MEDJAHER.

2009 – 2012: DOCTORATE IN AUTOMATIC, PRODUCTION AND ROBOTICS.

École Centrale de Nantes, Doctoral School of Information Science and Technology and Mathematics. 

Team SLP (Logistic and Productive Systems), IRCCyN (Institute for Research in Communications and Cybernetics of Nantes).
Title: Maintenance and investment policies under uncertain technological evolution.

Thesis Director: Philippe CASTAGLIOLA.
Co-supervisor: Bruno CASTANIER and Thomas YEUNG.

2008 – 2009: MASTER IN SYSTEMS OPTIMIZATION AND SAFETY.

University of Technology of Troyes (UTT). 

Master’s internship: LMSS team (Laboratory of Modeling and Systems Security), Charles Delaunay Institute.
Title: Hidden Markov model and conditional maintenance.

Supervisor: Mitra FOULADIRAD.

2003 – 2008: ELECTRICAL – ELECTRONICS ENGINEERS.

Ho Chi Minh City Polytechnic School - (HCMUT). 

Engineer’s internship: HCMUT’s Electrical- Electronic Laboratory.
Title: PBX on Asterisk construction.
Supervisor: TA Tri Nghia.

September 2017 - Until now: Associate Professor, UTTOP, ENIT, Production Engineering Laboratory.

January 2016 - August 2017: Lecturer - Researcher, University of Technology of Troyes, LMSS team (Laboratory of Modeling and Systems Security), Charles Delaunay Institute.

2014 – 2015: Postdoctoral researcher, SYSTUF project, French Institute of Science and Technology for Transport, Development, and Networks (IFSTTAR), Aliated with the COSYS department.

2013 – 2014: Postdoctoral researcher, GALOROI project, French Institute of Science and Technology for Transport, Development, and Networks (IFSTTAR), Aliated with the COSYS department.

2024: Best Paper Prize, IEEE PHM 2024 Conference, Stockholm.
Sagar Jose, Ryad Zemouri, Khanh T.P. Nguyen, Kamal Medjaher, Antoine Tahan, Mélanie Lévesque. From Fragments to Futures: Construction of Synthetic Run- to-Failure Trajectories for Fault State Prognostics.

2023: China Outstanding Overseas PhD Student Award: Weikun DENG’s thesis.

2023: Finalist, IFAC World Congress Application Paper Prize.
Weikun Deng, Khanh T.P. Nguyen, Kamal Medjaher, Christian Gogu, Jérôme Morio (2023). Bearings RUL prediction based on contrastive self-supervised learning. IFAC- Pa- persOnLine 56 (2), 11906-11911.

2022: Second Place, Doctoral Symposium PHMe22: Weikun DENG’s thesis. 2021: Doctoral and Research Supervision Bonus (PEDR), Category A.