Henri Lefebvre

Ph.D University of Trier (Universität Trier)

Henri is currently a post-doctoral researcher in Trier University (Germany) in the "Nonlinear Optimization" group. He received a Master degree in "Optimization and learning of systems" from the University of Technology of Compiègne (France) in 2019 as well as an Engineering degree in "Production systems" from the University of studies of Genova (Italy) the same year. He earned his Ph.D. at the University of Bologna (DEI) under the supervision of Michele Monaci and Enrico Malaguti where he studied adjustable robust optimization problems with nonlinear recourses.

His main research interests are in optimization under uncertainty and decomposition methods for large-scale applications. In particular, his work focuses on exact methods for two-stage robust problems with mixed-integer convex wait-and-see decisions using decomposition approaches.

Research Interests

  • (Adjustable) Robust Optimization
  • Bilevel Optimization
  • Non-Linear Optimization
  • Decomposition methods
  • Column Generation



RODES - Robuste Optimierung für das Design von Energiesystemen

My post-doc is part of the RODES project, which started in 2023. The project is supported by the German Bundesministerium für Bildung und Forschung (Förderkennzeichen 05M22UTB).

MINOA - Mixed-Integer Nonlinear Optimization and Applications

I was an Early Stage Researcher (ESR) in MINOA from 2019 to 2021. The project “Mixed-Integer Non Linear Optimisation: Algorithms and Applications” has received funding from the Europeans Union’s EU Framework Programme for Research and Innovation Horizon 2020 under the Marie Skłodowska-Curie Actions Grant Agreement No 764759.