jlw-equipe ernst

PhD students

Florent De Geeter Biological models for improving Deep learning (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-)
Vageesh Chakrapani Manakari Smart algorithms for renewable energy communities (2020-)
Adrien Bolland Reinforcement learning for energy markets (2020-)
Antoine Dubois The Global Grid: analysis and optimization (2019-)
Thibaut Theate Deep reinforcement learning for algorithmic trading (2018-)
Koen Boeckx Artificial intelligence for advanced defence systems (2018-)
Mathias Berger Design of future energy systems (2018-)
David Vangulick Blockchain and electricity networks (2015-)
Samy Attaihar Reinforcement learning and microgrids (2015-)
Nicolas Vecoven New models of neural networks for reinforcement learning (2017-)
David Radu Planning of energy systems (2017-)
Florian Merchie Reinforcement learning for improving on-line game experience (2018-)
Pascal Leroy Reinforcement learning for advanced defense systems (2018-)

Post-docs

Hatim Djelassi Optimisation for multi-energy systems (2020-)
Ioannis Boukas Optimising flexibility in water systems (2021-)
Miguel Manuel de Villena Renewable energy communities (2021-)
Alireza Bahmanyar Control of complex power systems (2012-)
Michael Castronovo Reinforcement learning for energy systems (2017-)
Raphael Fonteneau Energy and artificial intelligence (2011-)

Others

Audrey Lempereur Researcher in intelligent robotics (2020-)
Tom Ewbank Researcher in intelligent robotics (2020-)
Loic Sacré Researcher in intelligent robotics (2020-)
Danielle Bonten Secretary

Former PhD

Ioannis Boukas Deep Reinforcement Learning for the Control of Energy Storage in Grid-Scale and Microgrid Applications (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

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)

 

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