PhD students
| Samy Mokeddem | GBOML for bi-level optimization and the handling of uncertainty (2024-) |
| Lize Pirenne | Large Language Models for the industry (2023-) |
| Arthur Louette | Design of intelligent systems for delta robots using reinforcement learning (2023-) |
| Laurie Boveroux | Optimizing complex large-scale scheduling problems using reinforcement learning (2023-) |
| Matthias Pirlet | Artificial intelligence for electricity markets (2023-) |
Maurizio Vassallo | Reinforcement learning for smart grids (2022-) |
| Victor Dachet | Remote renewable energy hubs (2022-) |
| Elie Kadoche | Intelligent control of off-shore wind farms (2022-) |
| Florent De Geeter | Biological models for improving Deep learning (2021-) |
| Bardhyl Miftari | Graph-Based Optimization Modelling Language (2021-) |
| Gaspard Lambrechts | Deep RL for POMDP (2021-) |
| Jocelyn Mbenoun | Study and optimization of multi-energy systems (2021-) |
| Amina Benzerga | Optimisation for the energy transition (2020-) |
| Adrien Bolland | Reinforcement learning for energy markets (2020-) |
| David Vangulick | Blockchain and electricity networks (2015-) |
| Samy Attaihar | Reinforcement learning and microgrids (2015-) |
| Pascal Leroy | Reinforcement learning for advanced defence systems (2018-) |
Post-docs
| Guillaume Derval | Optimisation for energy systems (2022-) |
| Raphael Fonteneau | Energy and artificial intelligence (2011-) |
Others
| Danielle Bonten | Secretary |
Former PhD
| Antoine Dubois | Exploring the near-optimal spaces of energy system optimisation models using necessary conditions for better decision making (2018-2023) |
| Thibaut Théate | Artificial Intelligence Techniques for Decision-Making in Market Environments (2018-2023) |
| Mathias Berger | Low-carbon energy system design: methods, software and applications (2018-2023) |
| Nicolas Vecoven | Introducing biological neuronal dynamics and neuromodulation in artificial neural networks (2017-2022) (co-supervised with Guillaume Drion) |
| David Radu | Siting Strategies for Variable Renewable Generation Assets in Capacity Expansion Planning Frameworks (2017-2021) |
| Ioannis Boukas | Deep Reinforcement Learning for the Control of Energy Storage in Grid-Scale and Microgrid Applications (2016-2021) (co-supervised by Bertrand Cornélusse) |
| Miguel Manuel de Villena | Smart Regulation for Distribution Networks – Modelling New Local Electricity Markets and Regulatory Frameworks for the Integration of Distributed Electricity Generation Resources (2016-2021) (co-supervised by Raphael Fonteneau) |
| Frédéric Olivier | Solutions for Integrating Photovoltaic Panels Into Low-voltage Distribution Networks (2013-2017) (co-supervised by Raphael Fonteneau) |
| Vincent François-Lavet | Contributions to deep reinforcement learning and its applications in smart grids (2014-2017) (co-supervised by Raphael Fonteneau) |
| Michael Castronovo | Offline Policy-search in Bayesian Reinforcement Learning (2012-2017) (co-supervised by Raphael Fonteneau) |
| Quentin Gemine | Active network management for electrical distribution systems (2012-2016) (co-supervised by Bertrand Cornélusse) |
| Sebastien Mathieu | Flexibility services in the electrical system (2012 – 2016) (co-supervised by Quentin Louveaux and Bertrand Cornélusse) |
| Firas Safadi | AI and video games (2010-2015) (co-supervised by Raphael Fonteneau) |
| David Lupien St-Pierre | Contributions to Monte-Carlo Search (2010-2013) (co-supervised by Quentin Louveaux) |
| Jing Dai | Frequency control coordination among non-synchronous AC areas connected by a multi-terminal HVDC grid (2008-2011) (co-supervised by Yannick Phulpin) |
| Florence Fonteneau – Belmudes | Identification of dangerous contingencies for large-scale power system security assessment (2007-2012) (co-supervised by Louis Wehenkel) |
| Raphael Fonteneau | Contributions to batch mode reinforcement learning (2007-2011) (co-supervised by Louis Wehenkel) |
Former post-docs
| Alireza Bahmanyar | Smart operation of distribution networks (2020-2023 ) |
| Ioannis Boukas | Optimising flexibility in water systems (2021- 2023) |
| Michael Castronovo | Reinforcement learning for energy systems (2017-2022) |
| Miguel Manuel de Villena | Renewable energy communities (2021) |
| Hatim Djelassi | Optimisation for multi-energy systems (2020-2021) |
| Yves Vanaubel | Intelligent computing for future energy systems (2018-2021) |
| Quentin Gemine | Smart operation of microgrids (2016-2022) |
| Sebastien Mathieu | Intelligent computing for future energy systems (2017-2020) |
| Gilles Meyer | Energy management systems for microgrids (2016-2018) |
| Adrien Couetoux | Reinforcement learning (2014-2016) |
| Bertrand Cornélusse | Smart grids (2013-2016) |
| Aivar Sootla | Optimal control and synthetic biology (2014-2016) |
| Tobias Jung | Reinforcement learning with application to computer networks (2010-2013) |
| Efthymios Karangelos | Risk-based operation of power systems (2012-2014) (co-supervised by Louis Wehenkel) |
| Francis Maes | Reinforcement learning (2012) |
| Emmanuel Rachelson | Reinforcement learning (2010) |
Damien Ernst 