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Talks

  • Quantification of material properties and stress-free state of a RBC model, through hierarchical Bayesian inference – PASC 2022, Basel, Switzerland – June 27, 2022 – Athena Economides
  • Hierarchical Bayesian inference for a red blood cell model – SIAM UQ 2022, Atlanta, Georgia – April 12, 2022 – Lucas Amoudruz
  • Schooling Hydrodynamics of 350 Fish – APS DFD 2021, Phoenix, Arizona – November 22, 2021 – Michalis Chatzimanolakis
  • Magnetic Navigation of Artificial Bacteria Flagella in Blood and Water – APS DFD 2021, Phoenix, Arizona – November 21, 2021 – Lucas Amoudruz
  • Computing foaming flows: from microfluidic crystals to breaking waves – APS DFD 2021, Phoenix, Arizona – November 22, 2021 – Petr Karnakov
  • Machine Learning for Fluid Dynamics – Journal of Fluid Mechanics, Fluid Mechanics Webinar Series – June 5, 2020 – Petros Koumoutsakos
  • Korali, High-performance Framework for Bayesian Uncertainty Quantification and Optimization – CSCS,  Lugano, Switzerland – December 13, 2019 – Sergio Martin
  • Deep Reinforcement Learning for Flow Control – International Workshop on Data-Centric Engineering, Cambridge, USA – December 10, 2019 – Petros Koumoutsakos
  • Machine Learning for Fluid Mechanics – EECS Colloquium, UC Berkeley, USA – October 30, 2019 – Petros Koumoutsakos
  • Machine Learning for Fluid Mechanics – IPAM Workshop III: “Validation and Guarantees in Learning Physical Models: from Patterns to Governing Equations to Laws of Nature", Los Angeles, USA – October 28, 2019 – Petros Koumoutsakos
  • Recurrent neural networks for spatiotemporal prediction of chaotic dynamics – DMOFM 2019, Karlsruhe, Germany – October 2, 2019 – Pantelis Vlachas
  • Hierarchical Bayesian Uncertainty Quantification for a Red Blood Cell Model – UNCECOMP 2019, Crete, Greece – June 24, 2019 – George Arampatzis
  • A High Performance Computing Framework 
for Multiphase, Turbulent Flows 
on Structured Grids – PASC 2019, Zurich, Switzerland – June 14, 2019 – Petr Karnakov
  • Remember and Forget for Experience Replay – ICML 2019, Los Angeles, USA – June 12, 2019 – Guido Novati
  • CCMA-ES for constrained optimization – PASC 2019, Zurich, Switzerland – June 12, 2019 – Daniel Waelchli
  • Data as Models: Bayesian Inference for Molecular Simulations – CECAM Workshop 2019, Lausanne, Switzerland – May 23, 2019 – Petros Koumoutsakos
  • Coalescence and transport of bubbles and drops – ICMF 2019, Rio-de-Janeiro, Brazil – May 20, 2019 – Petr Karnakov
  • High Performance Computing and Data science interfaces to predict, control and understand Fluid Mechanics – IPAM Workshop III: “HPC for Computationally and Data-Intensive Problems", Los Angeles, USA – November 8, 2018 – Petros Koumoutsakos
  • What Is an Algorithm? – Collegium Helveticum, Thematic week “Algorithms and their use", 2016–2020 Fellowship period “Digital Societies", Zurich, Switzerland – October 10, 2018 – Petros Koumoutsakos
  • Mutual Impact of Bubbles and Waves Studied with an Efficient Finite Volume Solver – PASC 2018, Basel, Switzerland – July 4, 2018 – Fabian Wermelinger
  • Fingering Instability in Hele-Shaw cell – PASC 2018, Basel, Switzerland – July 4, 2018 – Lucas Amoudruz
  • Forecasting of High-Dimensional Chaotic Dynamics with LSTMs – SDS 2018, Bern, Switzerland – June 7, 2018 – Pantelis Vlachas
  • Bayesian model selection for liquid water – DPG Spring meeting 2018, Berlin, Germany – March 13, 2018 – Julija Zavadlav
  • Data driven inference for the repulsive exponent of the Lennard-Jones potential in molecular dynamics simulations – DPG Spring Meeting 2018, Berlin, Germany – March 13, 2018 – Georgios Arampatzis
  • Computing Truth and Beauty – 2017 WORLD.MINDS Annual Symposium, Zurich Switzerland – December 7, 2017 – Petros Koumoutsakos
  • Harnessing Wake Vortices for Efficient Collective Swimming via 
Deep Reinforcement Learning – APS DPD 2017, Denver, USA – November 21, 2017 – Siddhartha Verma
  • Virtual Erythrocyte – Constitutive Relations and Fluid-Cell Interactions – PASC 2017, Lugano, Switzerland – June 26, 2017 – Sergey Litvinov
  • Towards the virtual rheometer: HPC for the RBC microstructure – PASC 2017, Lugano, Switzerland – June 26, 2017 – Athena Economides
  • Numerical Simulations and Robust Predictions of Cloud Cavitation Collapse – PASC 2017, Lugano, Switzerland – June 26, 2017 – Fabian Wermelinger
  • Pareto Optimal Swimmers – PASC 2017, Lugano, Switzerland – June 26, 2017 – Siddhartha Verma
  • Fast motion of heaving airfoils – ICCS 2017, Zurich, Switzerland – June 14, 2017 – Siddhartha Verma
  • Large scale simulation of cloud cavitation collapse – ICCS 2017, Zurich, Switzerland – June 13, 2017 – Ursula Rasthofer
  • Multi-objective Optimization of Artificial Swimmers – CEC 2017, Donostia San-Sebastian, Spain – June 4, 2017 – Siddhartha Verma
  • Machine Learning for Synchronized Swimming – FSIM 2017, Naples, Italy – May 25, 2017 – Siddhartha Verma
  • Large scale simulation of cloud cavitation collapse – PRACEdays 2017, Barcelona, Spain  – May 15, 2017 – Ursula Rasthofer
  • Computing for the Benefit of Humankind – Radcliffe Institute 2016-2017 Fellows’ Presentation Series, Cambridge, USA – May 2017 – Petros Koumoutsakos
  • Computing . Data .. Science … Society: On Connecting the Dots – Collegium Helveticum, 2016–2020 Fellows’ Presentation Series “Digital Societies", Zurich, Switzerland – March 9, 2017 – Petros Koumoutsakos
  • Stochastic Simulation,Optimisation, Inference – Computational Science Lectures at MIT, Cambridge, USA – November 2016 – Petros Koumoutsakos
  • Fluid-Structure Interaction with Vortex methods and the Finite Element Method – JHPC 2016, Aachen, Germany – October 5, 2016 – Siddhartha Verma
  • Particle Methods – Computational Science Lectures at MIT, Cambridge, USA – October 2016 – Petros Koumoutsakos
  • Simulations of Microfluidic Devices for Mechanical Cell Separation – VPH 2016, Amsterdam, Netherlands – September 28, 2016 – Athena Economides
  • Collapse Dynamics of Cavitating Bubble Clouds by Large Scale Simulation – EFMC 11, Seville, Spain – September 15, 2016 – Ursula Rasthofer
  • An HPC Framework for Bayesian Uncertainty Quantification of Flow Across Scales – ICTAM 2016, Montreal, Canada – August 23, 2016 – Ursula Rasthofer
  • Uncertainty Quantification in Cloud Cavitation Collapse using Multi-Level Monte Carlo – MCQ/MC 2016, San Francisco, USA – August 16, 2016 – Jonas Sukys
  • Surface-force distribution on deforming geometries using Vortex methods and Brinkman penalization – ECCOMAS 2016, Crete, Greece – June 8, 2016 – Siddhartha Verma
  • Approximate Bayesian Computation for Granular and Molecular Dynamics Simulations – PASC 2016, Lausanne, Switzerland – June 8, 2016 – Lina Kulakova
  • An Efficient Compressible Multicomponent Flow Solver for Heterogeneous CPU/GPU Architectures – PASC 2016, Lausanne, Switzerland – June 8, 2016 – Fabian Wermelinger
  • Large Scale Simulation of Cloud Cavitation Collapse – 4th cavitation workshop, Crete, Greece – June 1, 2016 – Ursula Rasthofer
  • Data-Driven, Bayesian Uncertainty Quantification for Large-Scale Simulations – SIAM UQ 2016, Lausanne, Switzerland – April 8, 2016 – Lina Kulakova
  • Uncertainty Quantification in Cloud Cavitation Collapse using Multi-Level Monte Carlo – SIAM UQ 2016, Lausanne, Switzerland – April 7, 2016 – Jonas Sukys
  • Boundary Conditions and Particles – CEMRACS Summer School on Numerical Methods and HPC, Marseille, France – July 23, 2012 – Petros Koumoutsakos
  • Particles and Meshes I: Re-meshing and Multi-resolution – CEMRACS Summer School on Numerical Methods and HPC, Marseille, France – July 20, 2012 – Petros Koumoutsakos
  • Multiscale Simualtions using Particles – CEMRACS Summer School on Numerical Methods and HPC, Marseille, France – July 20, 2012 – Petros Koumoutsakos
  • CFD in Manufacturing and Medical Applications (mp4) – NVIDIA Round Table Meeting, Bonn, Germany – October 8, 2011 – Petros Koumoutsakos
  • Adaptive Stochastic and Deterministic Simulations Using Particles – Multimodel and Multialgorithm Coupling for Multiscale Problems, AMS Conference, Snowbird, USA – July 5, 2011 – Petros Koumoutsakos
  • Hybrid Particle Methods On Modern Architectures – Algorithmic Re-Engineering for Modern Non-Conventional Processing Units CECAM EPFL, Switzerland – October 2nd, 2009 – Diego Rossinelli
  • Deterministic and Stochastic Simulations of Biological Systems – ETHZ CIMST 2008 Workshop, Switzerland – September 11th, 2008 – Petros Koumoutsakos
  • Multiscale Simulations Using Particles – 17th International Conference on Discrete Simulation of Fluid Dynamics, Florianopolis, Brasil – August 6th, 2008 – Petros Koumoutsakos
  • Flow Simulations Using Particles: Bridging Computer Graphics and CFD – Course in SIGGRAPH 2008, Los Angeles, USA – August 12, 2008 – Petros Koumoutsakos, Georges-Henri Cottet, Diego Rossinelli
  • A Control Algorithm for the Multiscale Simulation of Liquid Water – ICCS-2008, Krakow, Poland – June 23, 2008 – Evangelos M. Kotsalis
  • Vortex Particles Simulations of Aircraft Wake Instabilities on Massively Parallel Architectures – VECPAR 08, Toulouse, France, June 24-27, 2008 – Philippe Chatelain
  • Multiscale Flow Simulations Using Particles – 5th International Conference on Mesoscopic Methods in Engineering and Science, Amsterdam, The Netherlands – June 16th, 2008 – Petros Koumoutsakos
  • Reverse Engineering of Self-propelled Anguilliform Swimmers – CIMTEC2008, Acireale, Italy, June 9-13, 2008 – Philippe Chatelain
  • Massively Parallel Vortex Particle Simulations of Aircraft Wakes – FAR-Wake 2008, Marseilles, May 27-29, 2008 – Philippe Chatelain
  • Sustained peta/hexaflops ? A Users point of view – SOS12 Workshop, Wildhaus, Switzerland – March 11th, 2008 – Petros Koumoutsakos
  • Bioinspired flow optimization (mp4) – TSFP 7,TU Munich , Germany – August 27th, 2008 – Petros Koumoutsakos

Address

Chair of Computational Science
ETH Zurich, CLT
Clausiusstrasse 33
CH-8092 Switzerland

 +41 44 632 71 59
 mavt-cse@mavt.ethz.ch

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Recent Posts

  • Our paper “Vortex separation cascades in simulations of the planar flow past an impulsively started cylinder up to Re=100 000” was published in the Journal of Fluid Mechanics December 20, 2022
  • Our paper “Robust optimal sensor configuration using the value of information” was published in Structural Control and Health Monitoring November 10, 2022
  • Our paper “Multiscale simulations of complex systems by learning their effective dynamics” was published in Nature Machine Intelligence April 8, 2022
  • Our paper “Modelling glioma progression, mass effect and intracranial pressure in patient anatomy” was published in the Journal of the Royal Society Interface March 30, 2022
  • Our paper “Scientific multi-agent reinforcement learning for wall-models of turbulent flows” was published in Nature Communications March 19, 2022

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CSE-Lab - Computational Science and Engineering Laboratory
ETH Zurich