On February 9, 2017, the seminar on Bayesian probability and its applications in plasma physics was held in IPP.
Dr. Václav Šmídl, Institute of Information Theory and Automation of the CAS,
Prague, Czech Republic
9:35 Geert Verdoolaege: Bayesian probability theory and its application to fusion data analysis
10:30 Coffee break
10:45 Václav Šmídl: Regularization of ill-posed inverse problems using Bayesian techniques
11:40 Discussion and lunch
Geert Verdoolaege obtained the M.Sc. degree in theoretical physics in 1999 and the
Ph.D. in engineering physics in 2006, both at Ghent University (UGent, Belgium). His Ph.D. work
concerned applications of Bayesian probability theory to plasma spectroscopy in fusion devices. He
was a postdoctoral researcher in the field of computer vision at the University of Antwerp
(2007-2008), working on probabilistic modeling of image textures using information geometry. From
2008 to 2010 he was with the department of Data Analysis at UGent, where he worked on modeling and
estimation of brain activity, based on functional magnetic resonance imaging. In 2010 he returned
to the department of Applied Physics at UGent, first as a postdoctoral assistant and from 2014
onwards as a part-time assistant professor. Since 2013 he holds a cross-appointment as a researcher
at the Laboratory for Plasma Physics of the Royal Military Academy (LPP-ERM/KMS) in Brussels. His
research activities comprise development of advanced data analysis techniques (probability theory,
machine learning, information geometry) and their application in fusion experiments. He also
teaches a master course on continuum mechanics at Ghent University.
Václav Šmídl received the MSc degree from the University of West Bohemia in 1999 and Ph.D. degree in signal processing from Trinity College Dublin, Dublin, Ireland, in 2004. Since 2004, he has been a Researcher with the Institute of Information Theory and Automation, Prague, Czech Republic. His main research interest is Bayesian estimation and its applications. He is the author of monograph the Variational Bayes Method in Signal processing, more than 20 journal papers. The main application areas are system identification, image processing and recently also plasma physics.
9 Feb 2017