Current PhD Students

• 2017 : Ali Hebbal, "Surrogate-assisted multi-objective optimization using deep Gaussian networks" (50%, N. Melab:50%)
• 2018 : Jeremy Sadet, "Engineering design using surrogate-assisted optimization" (50%, T. Tison (Univ. Valenciennes): 50%)
• 2019 : Gabriel Duflo, "Reinforcement learning based metaheuristics", (33%, P. Bouvry (Univ. Luxembourg),: 33%, G. Danoy (Univ. Luxembourg):33%)
• 2020 : Ayman Makki, "Automated design of deep neural networks", (50%, P. Bouvry (Univ. Luxembourg): 50%
• 2020 : Juliette Gamot, "Multidiscipinary design and analysis of aerospace concepts including internal layout optimization", 33%, N. Melab :33%, M. Balesdent (ONERA) : 33%.