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1. #EPFL OPTIMIZATION AND SIMULATION LAB MASTER SOFTWARE#
2. #EPFL OPTIMIZATION AND SIMULATION LAB MASTER PROFESSIONAL#

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.

#EPFL OPTIMIZATION AND SIMULATION LAB MASTER PROFESSIONAL#

By this concept, the student acquire a better know-how that is afterwards valorized in the research activities as well as in their professional life.Bruno Sudret got a master of science from the Ecole Polytechnique (France) in 1993. Teaching goals : computer aided project based teaching improves teaching efficiency and allow to bridge the gap between teaching and research activities.

Major teaching activities Advanced energetics (process integration), exergy analysis, process optimisation and modelling, energy audits and energy conversion systems for masters in mechanical and electrical engineering, engineers in physics, energy and electrical engineering postgraduate programs and doctoral school. The development of advanced computer aided methodologies combining thermodynamics and optimisation techniques will help engineers in the development of more efficient and more sustainable processes and energy conversion systems that will supply the energy for the future generations. Research goals : Integrated processes and energy conversion systems that integrate renewable energy resources and that supply multiple energy services are a key issue for our energy future. Process synthesis methodologies, application and development of computer aided process engineering methods : data reconciliation, simulation, process integration, mixed integer linear and non linear programming, multi-objective optimisation. Major research topicsProcess integration techniques, exergy analysis, process modelling and thermo-economic optimisation. Application of computer based methods for the analysis, the design and the optimisation of industrial processes and efficient energy conversion systems. Mission Teaching and research in the field of computer aided process and energy conversion systems analysis and synthesis.