| Elie Kadoche | Deep reinforcement learning for wind farm control (2021-2025) (co-supervied by Pascal Bianchi) |
| Bardhyl Miftari | Tools and Techniques for Efficient Encoding and Analysis of Linear Programming Models (2021-2025) (co-supervised by Quentin Louveaux and Guillaume Derval) |
| Adrien Bolland | Reimagining Exploration: Theoretical Insights and Practical Advancements in Policy Gradient Methods (2020-2025) |
| Gaspard Lambrechts | Reinforcement Learning in Partially Observable Markov Decision Processes: Learning to Remember the Past by Learning to Predict the Future (2021-2025) (co-supervised by Guillaume Drion). |
| Amina Benzerga | Hosting capacity of low-voltage distribution networks (2020-2024) |
| David Vangulick | Contribution to decision making in power system driven by distributed generation. Solutions and implementation based on Distributed Ledger Technology (2015-2024) |
| Pascal Leroy | Contributions to multi-agent reinforcement learning (2018-2024) |
| 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) |
Damien Ernst 