As a UQLab developer, he contributes the Gaussian process regression feature in the Kriging module and the high-performance computing (HPC) dispatcher module. He co-established and currently maintain UQWorld, an online community for applied UQ practitioners. Damar received his Doctoral degree in physics from EPFL in February 2018.ĭamar joined the Chair of Risk, Safety and Uncertainty Quantification in June 2018 with the responsibility to develop a community platform for UQLab users and developers as well as to contribute to the development of the UQLab platform.
The project adapted and applied various techniques from global sensitivity analysis, metamodeling, and Bayesian statistics. The project aimed at quantifying the uncertainty of numerous model parameters used in thermal-hydraulic simulation codes, which are important tools for assessing the safety of nuclear reactors. project "Bayesian Uncertainty Quantification of Physical Models in Thermal-Hydraulics System Codes" was jointly conducted at laboratories from EPFL and PSI. research at the Paul Scherrer Institute (PSI) in 2013. After a couple of industrial and research internships in Switzerland, he started his Ph.D. Starting from February 2020, Christos is a member of the Chair as a post-doctoral researcher primarily working on high-performance computing algorithms and their capitalization into UQLab, funded by the SAMOS project.ĭamar Wicaksono received his Master's degree in nuclear engineering from both EPF Lausanne (EPFL) and ETH Zürich in 2012. at the Chair in September 2015, titled “ Data-driven uncertainty quantification for high-dimensional engineering problems” under the co-supervision of Prof. During that time, he participated in the development of several UQLab modules (Input, Model, Kriging, Support vector machines) as well as several front- and back- end services. in robotics, systems, and control from ETH Zurich.īack in 2013, after completing his Master's studies, Christos joined the Chair of Risk, Safety and Uncertainty Quantification as a full-time scientific developer contributing to the UQLab project. He is currently Senior Scientist (senior lecturer) in the Chair, leading the technical development of UQLab.Ĭhristos holds a Diploma in Mechanical Engineering from the National Technical University of Athens, focusing on industrial automation and control theory and an MSc. His research focuses on active learning methods for uncertainty quantification and high-dimensional input-output UQ problems.
#EPFL OPTIMIZATION AND SIMULATION LAB MASTER SOFTWARE#
Sudret, he bootstrapped the UQLab software project, the Chair IT infrastructure, and assisted in the design and teaching of various courses provided by the Chair. In 2012 he joined the Chair of Risk, Safety and Uncertainty Quantification in ETH Zurich as a postdoctoral researcher on the topic of High Performance Computing applied to uncertainty quantification. His work on geophysical tomographic inversion continued with a 1-year postdoc with James Irving in the Institute of Geophysics at the University of Lausanne, where his research focused on uncertainty analysis in geophysical imaging. Stefano's doctoral research focused on seismic full-waveform tomography as a tool for the non-intrusive monitoring of radioactive-waste disposal sites. His research interests evolved into the field of deterministic inverse theory and its applications during his PhD (2007-2011) in the Applied and Environmental Geophysics group at ETH Zurich. Stefano Marelli received his MSc in Physics from the University of Milano Bicocca in 2006 with a thesis on fast Monte-Carlo simulation of stochastic processes in particle accelerators.
From 2008 to 2011 he has worked as the Director of Research and Strategy at Phimeca Engineering, a consulting company specialized in structural reliability and uncertainty quantification in engineering.īruno Sudret has been a professor of Risk, Safety and Uncertainty Quantification in Engineering at the Institute of Structural Engineering since August 2012. Bruno Sudret has been working in probabilistic engineering mechanics and uncertainty quantification methods for engineering systems since 2000: first as a post-doctoral fellow at the University of Berkeley (California), then as a researcher at EDF R&D (the French world leader in nuclear power generation) where he was the head of a group specialized in probabilistic engineering mechanics at the Department of Materials and Mechanics of Components. He then obtained a master’s degree and a Ph.D in civil engineering from the Ecole Nationale des Ponts et Chaussées (France) in 19, respectively. Bruno Sudret got a master of science from the Ecole Polytechnique (France) in 1993.