IUTAM Symposium 2022

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IUTAM Symposium 2022 Scientific Program

Scientific Program

IUTAM Symposium on Data-driven modeling and optimization in fluid mechanics, 15-17 June 2022

This is a tentative program and might be subjected to changes.  

  • Keynotes: 40min Presentation + 10min Q&A
  • Talks: 15min Presentation + 5min Q&A 

Day 1 - June 15, 2022 

08:00-09:00: Registration 

09:00-09:20: Welcome

09:20-10:30: Session 1.1

  • 09:20-10:10: Keynote. Paola Cinnella, Sorbonne Université, France. Title: Bayesian machine learning for turbulence model discovery and uncertainty quantification
  • 10:10-10:30: Michele Quattromini, Politecnico di Bari, Italy. Title: Graph neural network models as compliant RANS closure

10:30-10:50: Break and Coffee

10:50-12:10: Session 1.2

  • 10:50-11:10: Aurélien Vadrot, Ecole centrale de Lyon, France. Title: Compressible turbulence modeling in dense gas flows with supervised machine learning
  • 11:10-11:30: Kai Fukami, University of California, USA. Title: Time-varying broadcast mode analysis for airfoil wake dynamics
  • 11:30-11:50: Richard Semaan, Technische Universität Braunschweig, Germany. Title: Control-oriented cluster-based network modeling
  • 11:50-12:10: Soufiane Cherroud, Arts et Métiers ParisTech, France. Title: Sparse Bayesian learning of explicit algebraic Reynolds stress models

12:10-13:30: Break & Lunch at Navitas Kantine

13:30-15:00: Session 1.3

  • 13:30-14:20: Keynote. Steven L. Brunton, University of Washington, USA. Title: Machine learning for scientific discovery, with examples in fluid mechanics
  • 14:20-14:40: Tamon Nakano, Université Paris-Saclay, France. Title: Machine learning model for gas-liquid interface reconstruction in CFD numerical simulations
  • 14:40-15:00: Christoffer Hansen, Aarhus University, Denmark. Title: Data-driven dynamical system models of roughness-induced secondary flows in thermally stratified turbulent boundary layers

15:00-15:20: Break & Coffee

15:20-16:20: Session 1.4

  • 15:20-15:40: Emmanuel Menier, IRT- SystemX, France. Title: Complementary deep - reduced order model
  • 15:40-16:00: Onofrio Semeraro, Université Paris-Saclay, France. Title: Optimal control for shear flows using reinforcement learning
  • 16:00-16:20: Alasdair Roy, University of Leeds, UK. Title: Nonlinear reduced-order models for magnetoconvection in 2D

16:20-18:00: Break & Reception

Day 2 - June 16, 2022 

08:00-09:00: Registration 

09:00-10:30: Session 2.1

  • 09:00-09:50: Keynote. Richard Dwight, Delft University of Technology, Netherlands. Title: Customized RANS turbulence closures for application in wind energy
  • 09:50-10:10: Marion Coquelet, Université catholique de Louvain, Belgium. Title: Tackling control and modeling challenges in wind energy with data-driven tools
  • 10:10-10:30: Navid Zehtabiyan-Rezaie, Aarhus University, Denmark. Title: Data-driven quantification of model-form uncertainty in Reynolds-averaged simulation of wind farms

10:30-10:50: Break & Coffee

10:50-12:10: Session 2.2

  • 10:50-11:10: Søren Juhl Andersen, Technical University of Denmark, Denmark. Title: Stochastic and predictive reduced order modelling of wind turbine wake dynamics using proper orthogonal decomposition
  • 11:10-11:30: Daniel Fernex, École Polytechnique Fédérale de Lausanne, Switzerland. Title: Cluster-based feedback blade pitch control for dynamic stall mitigation in a vertical axis wind turbine
  • 11:30-11:50: Robert Braunbehrens, Technical University of Munich, Germany. Title: Learning and explaining orographic flow heterogeneities from operational data 
  • 11:50-12:10: Andreas Vad, Technical University of Munich, Germany. Title: Learning and explaining intra-plant flow features from operational data - Application to the offshore wind farm Anholt

12:10-13:30: Break & Lunch at Navitas Kantine

13:30-15:00: Session 2.3

  • 13:30-14:20: Keynote. Luca Magri, Imperial College London, UK. Title: Marrying physics with data-driven methods for chaotic and extreme flows
  • 14:20-14:40: Matthieu Nastorg, Université Paris-Saclay, France. Title: Accelerating mesh-based CFD simulations with deep learning
  • 14:40-15:00: Ettore Saetta, University of Naples Federico II, Italy. Title: Can autoencoders predict airfoil stall? 

15:00-15:20: Break & Coffee

15:20-19:00: Free time for social activities before dinner

19:00-21:30: Symposium Dinner at Globen Flakket / Åboulevarden 18, 8000 Aarhus C

Day 3 - June 17, 2022 

09:00-10:20: Session 3.1

  • 09:00-09:20: Fateme Darlik, University of Luxembourg, Luxembourg. Title: Evaluation and prediction of the biomass combustion simulation through the recurrent neural network algorithm
  • 09:20-09:40: Yusuf Patel, Imperial College London, UK. Title: Mean-flow reconstruction of unsteady flows via data assimilation
  • 09:40-10:00: Rupert Pache, Hamburg University of Technology, Germany. Title: Data-driven surrogate modelling of aerodynamic forces on the superstructure of container vessels
  • 10:00-10:20: Joan Calafell, Barcelona Supercomputing Center, Spain. Title: Graph neural networks for wall modeling applications

10:20-10:40: Break & Coffee

10:40-11:40: Session 3.2

  • 10:40-11:00: Sébastien Le Fouest, École Polytechnique Fédérale de Lausanne, Switzerland. Title: Optimal pitching kinematics for a VAWT blade
  • 11:00-11:20: Ali Amarloo, Aarhus University, Denmark. Title: LES and LES-informed RANS simulations of large-scale roughness-induced secondary flows
  • 11:20-11:40: Daniel Hilger, RWTH Aachen University, Germany. Title: Implementation of physically informed neural networks as a reduced order model in the free-form optimization of plastic prole extrusion dies

11:40-12:00: Closing 

  • Jens N. Sørensen: Symposium Chair, Technical University of Denmark (DTU), Denmark
  • Mahdi Abkar, Symposium Co-Chair and Main Organizer, Aarhus University (AU), Denmark

12:00-12:30: Lunch Packs Delivery

Revised 24.10.2024
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Mahdi Abkar