Talks

Talks

• Data-Driven Inference Of A Transferable RBC Model, at CMBE, Washinton DC, Monday, June 24, 2024
• Drag Reduction in Flows Past 2D and 3D Circular Cylinders Through Reinforcement Learning – Sergey Litvinov, at APS DFD, Washington DC, Tuesday, November 21, 2023
• Data assimilation for compressible flows by optimizing a discrete loss (ODIL) with automatic differentiation – Petr Karnakov, at APS DFD, Washington DC, Monday, November 20, 2023
• Optimizing the Discrete Loss for the Solution for Inverse problems in fluid mechanics: multiresolution and automatic differentiation – Petros Koumoutsakos, at APS DFD, Washington DC, Monday, November 20, 2023
• Path planning of swimmers in complex flows with reinforcement learning – Lucas Amoudruz, at APS DFD, Washington DC, Sunday, November 19, 2023
• Bayesian Uncertainty Quantification for Computational Mechanics at Scale – Sebastian Kaltenbach, at CSAI Trondheim, Monday, August 28, 2023
• Hierarchical Bayesian inference for a RBC model – Lucas Amoudruz, at SIAM UQ, Atlanta GA, Tuesday, April 12, 2022
• Magnetic Navigation of Artificial Bacteria Flagella in Blood and Water – Lucas Amoudruz, at APS DFD, Phoenix AZ, Sunday, November 21, 2021
• Machine Learning for Fluid Dynamics – Petros Koumoutsakos, at Journal of Fluid Mechanics, Fluid Mechanics Webinar Series, Friday, June 5, 2020
• Korali, High-performance Framework for Bayesian Uncertainty Quantification and Optimization – Sergio Martin, at CSCS, Lugano, Switzerland, Friday, December 13, 2019
• Deep Reinforcement Learning for Flow Control – Petros Koumoutsakos, at International Workshop on Data-Centric Engineering, Cambridge, USA, Tuesday, December 10, 2019
• Machine Learning for Fluid Mechanics – Petros Koumoutsakos, at EECS Colloquium, UC Berkeley, USA, Wednesday, October 30, 2019
• Machine Learning for Fluid Mechanics – Petros Koumoutsakos, at Los Angeles, USA, Monday, October 28, 2019
• Recurrent neural networks for spatiotemporal prediction of chaotic dynamics – Pantelis Vlachas, at DMOFM 2019, Karlsruhe, Germany, Wednesday, October 2, 2019
• Hierarchical Bayesian Uncertainty Quantification for a Red Blood Cell Model – George Arampatzis, at UNCECOMP 2019, Crete, Greece, Monday, June 24, 2019
• A High Performance Computing Framework for Multiphase, Turbulent Flows on Structured Grids – Petr Karnakov, at PASC 2019, Zurich, Switzerland, Friday, June 14, 2019
• Remember and Forget for Experience Replay – Guido Novati, at ICML 2019, Los Angeles, USA, Wednesday, June 12, 2019
• CCMA-ES for constrained optimization – Daniel Waelchli, at PASC 2019, Zurich, Switzerland, Wednesday, June 12, 2019
• Data as Models: Bayesian Inference for Molecular Simulations – Petros Koumoutsakos, at CECAM Workshop 2019, Lausanne, Switzerland, Thursday, May 23, 2019
• Coalescence and transport of bubbles and drops – Petr Karnakov, at ICMF 2019, Rio-de-Janeiro, Brazil, Monday, May 20, 2019
• High Performance Computing and Data science interfaces to predict, control and understand Fluid Mechanics – Petros Koumoutsakos, at IPAM Workshop III: “HPC for Computationally and Data-Intensive Problems”, Los Angeles, USA, Thursday, November 8, 2018
• What Is an Algorithm? – Petros Koumoutsakos, at Collegium Helveticum, Thematic week “Algorithms and their use”, 2016-2020 Fellowship period “Digital Societies”, Zurich, Switzerland, Wednesday, October 10, 2018
• An HPC Framework for Bayesian Uncertainty Quantification of Flow Across Scales, at ICTAM 2016, Montreal, Canada, Thursday, August 23, 2018
• Mutual Impact of Bubbles and Waves Studied with an Efficient Finite Volume Solver – Fabian Wermelinger, at PASC 2018, Basel, Switzerland, Wednesday, July 4, 2018
• Fingering Instability in Hele-Shaw cell – Lucas Amoudruz, at PASC 2018, Basel, Switzerland, Wednesday, July 4, 2018
• Forecasting of High-Dimensional Chaotic Dynamics with LSTMs – Pantelis Vlachas, at SDS 2018, Bern, Switzerland, Thursday, June 7, 2018
• Bayesian model selection for liquid water – Julija Zavadlav, at DPG Spring meeting 2018, Berlin, Germany, Tuesday, March 13, 2018
• Data driven inference for the repulsive exponent of the Lennard-Jones potential in molecular dynamics simulations – Georgios Arampatzis, at DPG Spring Meeting 2018, Berlin, Germany, Tuesday, March 13, 2018
• Computing Truth and Beauty – Petros Koumoutsakos, at 2017 WORLD.MINDS Annual Symposium, Zurich Switzerland, Thursday, December 7, 2017
• Harnessing Wake Vortices for Efficient Collective Swimming via Deep Reinforcement Learning, at APS DPD 2017, Denver, USA, Tuesday, November 21, 2017
• Virtual Erythrocyte – Constitutive Relations and Fluid-Cell Interactions, at PASC 2017, Lugano, Switzerland, Monday, June 26, 2017
• Towards the virtual rheometer: HPC for the RBC microstructure, at PASC 2017, Lugano, Switzerland, Monday, June 26, 2017
• Numerical Simulations and Robust Predictions of Cloud Cavitation Collapse, at PASC 2017, Lugano, Switzerland, Monday, June 26, 2017
• Pareto Optimal Swimmers, at PASC 2017, Lugano, Switzerland, Monday, June 26, 2017
• Fast motion of heaving airfoils, at ICCS 2017, Zurich, Switzerland, Wednesday, June 14, 2017
• Large scale simulation of cloud cavitation collapse, at ICCS 2017, Zurich, Switzerland, Tuesday, June 13, 2017
• Multi-objective Optimization of Artificial Swimmers, at CEC 2017, Donostia San-Sebastian, Spain, Sunday, June 4, 2017
• Machine Learning for Synchronized Swimming, at FSIM 2017, Naples, Italy, Thursday, May 25, 2017
• Large scale simulation of cloud cavitation collapse, at PRACEdays 2017, Barcelona, Spain, Monday, May 15, 2017
• Computing for the Benefit of Humankind, at Radcliffe Institute 2016-2017 Fellows’ Presentation Series, Cambridge, USA, Monday, May 1, 2017
• Computing . Data .. Science … Society: On Connecting the Dots – Collegium Helveticum, 2016-2020 Fellows’ Presentation Series “Digital Societies”, Zurich, Switzerland – March 9, 2017 – Petros Koumoutsakos, at Collegium Helveticum, 2016-2020 Fellows’ Presentation Series “Digital Societies”, Zurich, Switzerland, Thursday, March 9, 2017
• Stochastic Simulation,Optimisation, Inference, at Computational Science Lectures at MIT, Cambridge, USA, Tuesday, November 1, 2016
• Fluid-Structure Interaction with Vortex methods and the Finite Element Method, at JHPC 2016, Aachen, Germany, Wednesday, October 5, 2016
• Particle Methods, at Computational Science Lectures at MIT, Cambridge, USA, Saturday, October 1, 2016
• Simulations of Microfluidic Devices for Mechanical Cell Separation, at VPH 2016, Amsterdam, Netherlands, Wednesday, September 28, 2016
• Collapse Dynamics of Cavitating Bubble Clouds by Large Scale Simulation, at EFMC 11, Seville, Spain, Thursday, September 15, 2016
• Uncertainty Quantification in Cloud Cavitation Collapse using Multi-Level Monte Carlo, at MCQ/MC 2016, San Francisco, USA, Tuesday, August 16, 2016
• Surface-force distribution on deforming geometries using Vortex methods and Brinkman penalization, at ECCOMAS 2016, Crete, Greece, Saturday, June 18, 2016
• Approximate Bayesian Computation for Granular and Molecular Dynamics Simulations, at PASC 2016, Lausanne, Switzerland, Wednesday, June 8, 2016
• An Efficient Compressible Multicomponent Flow Solver for Heterogeneous CPU/GPU Architectures, at PASC 2016, Lausanne, Switzerland, Wednesday, June 8, 2016
• Large Scale Simulation of Cloud Cavitation Collapse, at 4th cavitation workshop, Crete, Greece, Wednesday, June 1, 2016
• Data-Driven, Bayesian Uncertainty Quantification for Large-Scale Simulations, at SIAM UQ 2016, Lausanne, Switzerland, Friday, April 8, 2016
• Uncertainty Quantification in Cloud Cavitation Collapse using Multi-Level Monte Carlo, at SIAM UQ 2016, Lausanne, Switzerland, Thursday, April 7, 2016
• Boundary Conditions and Particles, at CEMRACS Summer School on Numerical Methods and HPC, Marseille, France, Monday, July 23, 2012
• Particles and Meshes I: Re-meshing and Multi-resolution, at CEMRACS Summer School on Numerical Methods and HPC, Marseille, France, Friday, July 20, 2012
• Multiscale Simualtions using Particles, at CEMRACS Summer School on Numerical Methods and HPC, Marseille, France, Friday, July 20, 2012
• CFD in Manufacturing and Medical Applications, at NVIDIA Round Table Meeting, Bonn, Germany, Saturday, October 8, 2011
• Adaptive Stochastic and Deterministic Simulations Using Particles – Multimodel and Multialgorithm Coupling for Multiscale Problems, at AMS Conference, Snowbird, USA, Tuesday, July 5, 2011
• Hybrid Particle Methods On Modern Architectures – Algorithmic Re-Engineering for Modern Non-Conventional Processing Units, at CECAM EPFL, Switzerland, Friday, October 2, 2009
• Massively Parallel Vortex Particle Simulations of Aircraft Wakes, at FAR-Wake 2008, Marseilles, Wednesday, May 27, 2009
• Deterministic and Stochastic Simulations of Biological Systems, at ETHZ CIMST 2008 Workshop, Switzerland, Thursday, September 11, 2008
• Bioinspired flow optimization, at TSFP 7,TU Munich , Germany, Wednesday, August 27, 2008
• Flow Simulations Using Particles: Bridging Computer Graphics and CFD, at SIGGRAPH 2008, Los Angeles, USA, Tuesday, August 12, 2008
• Multiscale Simulations Using Particles, at 17th International Conference on Discrete Simulation of Fluid Dynamics, Florianopolis, Brasil, Wednesday, August 6, 2008
• Vortex Particles Simulations of Aircraft Wake Instabilities on Massively Parallel Architectures, at VECPAR 08, Toulouse, France, Tuesday, June 24, 2008
• A Control Algorithm for the Multiscale Simulation of Liquid Water, at ICCS-2008, Krakow, Poland, Monday, June 23, 2008
• Multiscale Flow Simulations Using Particles, at 5th International Conference on Mesoscopic Methods in Engineering and Science, Amsterdam, The Netherlands, Monday, June 16, 2008
• Reverse Engineering of Self-propelled Anguilliform Swimmers, at CIMTEC2008, Acireale, Italy, Monday, June 9, 2008
• Sustained peta/hexaflops? A Users point of view, at SOS12 Workshop, Wildhaus, Switzerland, Tuesday, March 11, 2008