Monte Carlo methods play a significant role in today's science, engineering as well as in application. The workshop is dedicated to the exchange of ideas on methods, algorithms and application of Monte Carlo methods and Big Data.
As has been the tradition, the workshop features invited as well as contributed talks. Time and space is also available for poster contributions. Student contributions are particularly welcome!
Please send your contribution by
mc-workshop-2017 -AT- thphys.uni-heidelberg.de
until January 31, 2017.
Participation is free of charge.
The following topics are of interest:
- Hamiltonian Monte Carlo
- Sequential Monte Carlo
- Consensus Monte Carlo
- Distributed/parallel Markov Chain Monte Carlo
- Markov Chain Monte Carlo using GPU computing
- Big Data computing pipelines
- Big Data applications
- Applications from Mathematics, Physics and Biology
So far the following speakers will participate:
- Ralf Klessen (Heidelberg University)
- Daniel Seifried (University of Cologne)
- Juan Ibanez (University of Cologne)
- Cornelius Dullemond (Heidelberg University)
- Coryn Bailer-Jones (Max Planck Institute for Astronomy)
- Lucio Mayer (ETH Zurich)
- Tilman Plehn (Heidelberg University)
- Thomas Gasenzer (Heidelberg University)
- Godehard Sutmann (FZ Jülich and Interdisciplinary Center for Advanced Materials Simulation (ICAMS) Ruhr-University Bochum)
- Vincent Heuveline (Heidelberg Institute for Theoretical Studies)
- Roland Eils (German Cancer Research Center, BioQuant)
- Olaf Zimmermann (Forschungszentrum Jülich)
- Eric Rivals (University of Montpellier)
- Erin Conlon (University of Massachusetts, Amherst)
- Giovanni Settanni (University of Mainz)
- Eva Winkler (Heidelberg University)
- Andreas Hofmann (Heidelberg University)