Current projects
ANR JCJC project: Personalized Optimization with Human Feedback (Human-O) [01/2024 - 12/2027] (1 PhD candidate, 1 postdoc) [project webpage]
PGMO IROE project: Efficient Quantum Encodings for Combinatorial Optimization and Smart Energy Applications (EQu-ECO-Energy) [09/2023 - 08/2025] (1 postdoc)
ANR France 2030 project: Hybrid HPC Quantum Initiative [02/2023 - 03/2027] (1 postdoc)
Current team
Postdocs
Manh Hung Le: optimisation algorithms. PhD from Université de Limoges
Dylan Laplace Mermoud with S. Elloumi (ENSTA): combinatorial optimisation and quantum computing. PhD from Université Paris 1 Panthéon-Sorbonne
PhD candidates
Qinyan Zhou (directeur de thèse): optimisation and machine learning
Ugo Nzongani (co-directeur de thèse) with G. Di Molfetta (Aix-Marseille University): quantum walks for optimisation
Eliabelle Mauduit (directeur de thèse): optimisation and machine learning
Interns
Visitors
Past projects
PGMO IROE project: Efficient Quantum Encodings for Combinatorial Optimization (EQu-ECO) [09/2022 - 08/2024] (1 intern)
CIFRE PhD Thesis: ML and optimization techniques for data mining in employee's satisfaction questionnaires [07/2022 - 08/2024] (1 PhD candidate)
Past members
PhD candidates
Interns
Qui Loc Phan with S. Elloumi and Dylan Laplace Mermoud (ENSTA): combinatorial optimisation and quantum computing
Leder Yhivert Aguirre Ramirez with S. Elloumi (ENSTA): combinatorial optimisation and quantum computing
Pauline Fleury with H. Clogenson (CHRU Tours): machine learning in hospital settings
Sayak Mukherjeey with H. Jamali-Rad (TU Delft): model agnostic peer-to-peer learning
Liam Madden: compilation for quantum computing. Now at University of British Columbia as a postdoc [link]
Visitors
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