WELCOME
Current position : Associate Professor at ISAE-Supaero (France) and Sherbrooke University (Canada)
E-mail : michael.bauerheim isae-supaero.fr
Phone : +33 5 61 33 80 85
Location : Building 38, office 223
Previous positions :
2015-2016 - Post-doctoral position at LMFA (France) and ETHZ (Switzerland) :
- Aeroacoustic broad-band and tonal noise or rotor-stator interactions. LES and LNSE on the non-linear saturation of aeroacoustic sources.
2014-2015 - Post-doctoral position at IMFT (France) :
- DNS and experiment of flame stabilization on a rotating cylinder.
2014 - Visiting scholar at Stanford University (USA) :
- Uncertainty Quantification applied to symmetry breaking in thermoacoustics.
2012-2014 - PhD in thermo-acoustics at CERFACS and SNECMA (France) :
- Theory and LES of thermoacoustic instabilities in annular combustion chambers.
2011 - Visiting scholar at Georgia Tech (USA) :
- LES for combustion instabilities in methane-oxygen rocket engines.
Awards :
2014 - 3AF Clean Sky conference, nomination among the 10 best papers
2014 - 35th Int. Sytmposium on Combustion travelling grant 2014, and GFC travelling award with 2 papers accepted
2015 - Léopold Escande award for the best INP thesis 2014, delivered by the University of Toulouse
2015 - Award of Excellence for the contribution to "Ignition capability studies" in the FP7 European project LEMCOTECT
2015 - Paul Caseau award for the best PhD thesis on "Simulation and modelling", delivered by EDF
2015 - Paul Laffitte award for the best PhD thesis on "Combustion", delivered by the French Combustion Institute
TEAM
- Antonio Alguacil : PhD student working on the propagation of acoustic waves in complex media using deep convolutional networks, in collaboration with Sherbrooke University
- Ekhi Ajuria-Illaramendi : PhD student working on the acceleration of the resolution of the Poisson equation by Deep Learning : application to incompressible and plasma solvers
- Brice Martin : PhD student working on Reinforcement Learning (RL) for opitmal aerodynamics and trajectories
- Felix Zapata : PhD student working on AI-assisted surrogate modelling and optimization of rocket combustion chambers
- Andrea Arroyo : PhD student working on aeroacoustics (self-noise) at high speed using LES and DNS, in collaboration with Sherbrooke University
- Zhen Wei : PhD student working on physics-informed deep learning using GCNN, in collaboration with EPFL and Neural Concept
- Sandrine Berger (ETAP Project) : Postdoc focusing on Reinforcement Learning (RL) for optimal aerodynamics and controlling buffeting
- Wagner Pinto (POLA3 project) : Postdoc working on acoustic source detection and propagation using Deep Learning techniques
- Charlélie Laurent (POLA3 project) : Postdoc working sparse system identification, and application to inverse problems
RESEARCH ACTIVITIES
High Performance Learning for Aeronautical Flow Physics
Aeroacoustics
Bio-inspired aerodynamics
OPPORTUNITIES 2020-2021
Two PhDs positions are now available at ISAE-SUPAERO on applying deep learning to accelerate CFD solver. These positions are part of the ANR project FLOCCON (2021-2024), and follow the current work of E. Ajuria.
Internships at a master level are also possible. Feel free to send your CV and cover letter by mail.
PUBLICATIONS & HIGHLIGHTS
A demonstration by Neural Concept (https://neuralconcept.com/) of our common research on deep learning for fast predictions of compressible flows is now available here
The ANR project FLOCCON, investigating a possible futur path of CFD through "Accelerating flow computation using convolutional networks", has been obtained. 2 PhDs positions are now available.
Invited talk at the ITN Magister Workshop, 15th September 2020.
Invited talk at the PASC19 Conference in Zurich on Machine Learning and High Performance Computing.
COLLABORATIONS & PARTNERS
- Sureli, a group at ISAE-Supaero focusing on fundamentals and applications of Reinforcement Learning methods (https://sureli.github.io/).
- Helios group with CERFACS : High Performance Learning for Computational Phyiscs (http://cerfacs.fr/helios/)
- TIdDLe : the Toulouse Interdisciplinary Deep Learning Groupe (https://tiddle-group.github.io/)
- Jolibrain, a startup dedicated to Artificial Intelligence located in Toulouse (France)
- TU Munich (Germany) with the team of Nils Thuerey (https://ge.in.tum.de/about/n-thuerey/)
- EPFL (Switzerland) with Pascal Fua from CVlab (https://www.epfl.ch/labs/cvlab/research/)
- Neural Concept (Switzerland), a startup dedicated to AI-assisted optimization, in particular in the field of aerodynamics (https://neuralconcept.com/)