Contact: sureli@isae-supaero.fr

Members

Organizers

• Emmanuel Rachelson
  ISAE-SUPAERO professor, SuReLI founder
  Reinforcement Learning, Optimization
  
• Dennis Wilson
  ISAE-SUPAERO associate professor
  Evolutionary Computation, Machine Learning
  

Associated members

• Alain Haït
  ISAE-SUPAERO professor
  Industrial Engineering, Mathematical Programming
  
• Caroline Chanel
  ISAE-SUPAERO associate professor
  MDP planning, Neuroergonomy
  
• Nicolas Drougard
  ISAE-SUPAERO associate professor
  MDP planning, Neuroergonomy
  
• Michael Bauerheim
  ISAE-SUPAERO associate professor
  Computational Fluid Dynamics
  
• Elise Vareilles
  ISAE-SUPAERO professor
  Industrial Engineering, Constraint Programming
  
• Thomas Oberlin
  ISAE-SUPAERO associate professor
  Computer vision, ML
  
• Carlos Aguilar
  ISAE-SUPAERO professor
  Cryptography, cybersecurity
  

Post-docs and PhD students

• Giorgio Angelotti (PhD 2020-)
  Project: Offline Learning for Planning
  Supervision: N. Drougard, C. Chanel
  
• Mahmoud Al Najar (PhD 2020-)
  Project: Coastal Bathymetry & Topography using Deep Learning
  Supervision: D. Wilson
  
• Kaitlin Maile (PhD 2020-)
  Project: Neural Architecture Search
  Supervision: H. Luga, D. Wilson
  
• Paul Templier (intern 2020, PhD 2020-)
  Project: Bio-inspired Learning for Artificial Neural Networks
  Supervision: D. Wilson, E. Rachelson
  
• Brice Martin (PhD 2020-)
  Project: Fluid flow control with Reinforcement Learning
  Supervision: M. Bauerheim, E. Rachelson
  
• Sandrine Berger (postdoc 2019-)
  Project: Fluid flow control with Reinforcement Learning
  
• David Bertoin (PhD 2019-)
  Project: Objects and hierarchies in Reinforcement Learning
  Supervision: S. Gerchinovitz, E. Rachelson
  
• Valentin Guillet (intern 2017-2019, PhD 2019-)
  Project: Transfer and Neural Consolidation in Reinforcement Learning
  Supervision: C. Aguilar, E. Rachelson.
  
• Ilyass Haloui (PhD 2019-)
  Project: Predictive Maintenance via Sequential Decision Making
  Supervision: C. Chanel, A. Haït
  
• François Lamothe (PhD 2018-)
  Project: Network Design for Satellite Radio Resource Management
  Supervision: A. Haït, E. Rachelson
  
• Sana Ikli (PhD 2017-)
  Project: Coupling OR and ML methods for Aircraft Landing Scheduling under Uncertainty.
  Supervision: C. Mancel, M. Mongeau, X. Olive, E. Rachelson.
  
• Luca Mossina (PhD 2016-)
  Project: Applications of Machine Learning to the Resolution of Recurrent Combinatorial Optimization Problems.
  Supervision: D. Delahaye, E. Rachelson.
  

Master students and student projects

• Antoine Stevan (PhD track student 2020-)
  Project:
  Supervision: E. Rachelson
  
• Thibault Lahire (PhD track student 2020-)
  Project: Importance sampling in Reinforcement Learning.
  Supervision: E. Rachelson.
  
• Mathis Clautrier (PhD track student 2019-)
  Project:
  Supervision: D. Wilson
  

Past Members

Post-docs and PhD students

• Erwan Lecarpentier (intern 2016, PhD 2016-2020)
  Project: Reinforcement learning in non-stationary environments
  Supervision: C. Lesire-Cabaniols, G. Infantes, E. Rachelson
  
• Ankit Chiplunkar (PhD 2015-2017)
  Project: Incorporating Prior Information from Engineering Design into Gaussian Process Regression: with applications to Aeronautical Engineering.
  Supervision: J. Morlier, E. Rachelson.
  

Master students and student projects

• 2019-2020: P. Carfantan (Prioritized Experience Replay in Soft Actor Critic algorithms), Andrea Arroyo-Ramos (Fluid control with RL), P.-L. Saint (Progressive Neural Networks), L. Hervier (co-evolution of agents and environments), T. Cormier (reward-modulated STDP), Paul Templier (Neuroevolution for RL), Pablo Miralles, Vincent Coyette (Domain Adaptation in DuckieTown).
  T. Cormier is now a PhD candidate at TU Graz.
  P. Templier is now a PhD candidate in SuReLI.
  P. Miralles is now ML researcher at IRT Saint Exupéry.
  V. Coyette is now data scientist at InstaDeep.
  
• 2018-2019: Andres Quintela-Quintanilla (robustness and transfer in Deep RL), L. Bertomier, V. Guillet (Deep RL agents), I. Bouayad (Why is Rainbow sometimes underperforming?), G. Marugan-Rubio (iBoat stall avoidance), E. Dupont (off-policy critics for DDPG).
  V. Guillet is now a PhD candidate in SuReLI.
  [A. Quintela-Quintanilla])https://www.linkedin.com/in/andres-quintela/) is now associate at BCG.
  L. Berthomier is now data scientist at Meteo France.
  G. Marugan-Rubio is now application support engineer at MathWorks.
  E. Dupont is now drone AI engineer at Sterblue.
  
• 2017-2018: N. Megel, A. Bonet-Munoz, T. Karch (iBoat stall avoidance), F. Brulport, J.-M. Belley, P. Barde (iBoat navigation planning), Augustin Parjadis (Deep TD(lambda)), P. Planeix (Exoskeleton control with Deep RL), J.-J. Simeoni (robustness and transfer in Deep RL), V. Guillet (Deep RL agents).
  T. Karch is now a PhD candidate at INRIA Bordeaux.
  P. Barde is now a PhD candidate at MILA.
  A. Parjadis is now a PhD candidate at CIRRELT.
  N. Megel is now data scientist and project manager at Artelys.
  F. Brulport is now ML engineer at Owkin.
  
• 2016-2017: L. Becq, A. Bufort, H. Akhmouch, T. Le Minh, E. Herlaut, N. El Jaafari, S. Ganapathi-Raju, R. Madelaine, Erwan Lecarpentier (Learning to fly), L. Mossina (NaibX).
  H. Akhmouch is now a PhD candidate at University of Normandy.
  E. Herlault is now senior data scientist at Quantexa.
  A. Bufort is now data scientist at Orange.
  N. Eljaafari is now data scientist at P3 Group.