Volkan CevherVolkan Cevher received the B.Sc. (valedictorian) in electrical engineering from Bilkent University in Ankara, Turkey, in 1999 and the Ph.D. in electrical and computer engineering from the Georgia Institute of Technology in Atlanta, GA in 2005. He was a Research Scientist with the University of Maryland, College Park from 2006-2007 and also with Rice University in Houston, TX, from 2008-2009. Currently, he is an Associate Professor at the Swiss Federal Institute of Technology Lausanne and a Faculty Fellow in the Electrical and Computer Engineering Department at Rice University. His research interests include machine learning, signal processing theory, optimization theory and methods, and information theory. Dr. Cevher is an ELLIS fellow and was the recipient of the Google Faculty Research award in 2018, the IEEE Signal Processing Society Best Paper Award in 2016, a Best Paper Award at CAMSAP in 2015, a Best Paper Award at SPARS in 2009, and an ERC CG in 2016 as well as an ERC StG in 2011.
Emmanuel Pierre Jean RavaletExpertise
Urban StudiesTransportation EconomyUrban sociology Daily mobilitiesUrban segregationLatin America / West Africa cities
Teaching & PhD Past EPFL PhD Students as codirector Lorris Tabbone, Derek Pierre Christie
Nikolaos GeroliminisProf. Nikolas Geroliminis is an Associate Professor at EPFL and the head of the Urban Transport Systems Laboratory (LUTS). Before joining EPFL he was an Assistant Professor on the faculty of the Department of Civil Engineering at the University of Minnesota. He has a diploma in Civil Engineering from the National Technical University of Athens (NTUA) and a MSc and Ph.D. in civil engineering from University of California, Berkeley. He is an Associate Editor for Transportation Research part C and he also serves in the editorial board of TR, part B, Transportation Letters, Journal of ITS and of many international conferences. He is a member of the Transportation Research Board's Traffic Flow Theory Committee. His research interests focus primarily on urban transportation systems, traffic flow theory and control, public transportation and logistics, Optimization and Large Scale Networks. He is a recent recipient of the ERC Starting Grant METAFERW: Modeling and controlling traffic congestion and propagation in large-scale urban multimodal networks
Education
Diploma, 2003, Civil Engineering, National Technical University of Athens, Greece
M.S., 2004, Civil and Environmental Engineering, University of California at Berkeley
Ph.D., 2007, Civil and Environmental Engineering, University of California at Berkeley
Thomas Alois WeberExpertise
- Credit collections - Decision making under risk - Economics (behavioral, environmental, theory) - Engineering economy - Investment criteria - Nonlinear systems - Optimal control - Risk - Sharing economy
Expertise
- Credit collections - Decision making under risk - Economics (behavioral, environmental, theory) - Engineering economy - Investment criteria - Nonlinear systems - Optimal control - Risk - Sharing economy
Teaching & PhD PhD Students Ru Zhang Past EPFL PhD Students Maryam Razeghian Jah
Anna Timonina-FarkasAnna Timonina-Farkas is a scientific researcher in the field of Operations Research and Operations Management at TOM EPFL. Her focus is on theory and data-driven solution methods in multi-stage optimization under model and decision-dependent uncertainties. Before joining EPFL, she served as a Research Scholar at the Risk, Policy and Vulnerability program at the International Institute for Applied Systems Analysis (Vienna, Austria), developing optimal governmental strategies for natural disaster risk-managem
Semyon MalamudTeaching & PhD PhD Students Johannes Schwab, Onur Demiray, Giuseppe Matera Past EPFL PhD Students Rémy Praz, Evgeny Petrov, Yuan Zhang, Julien Arsène Blatt, Erik Hapnes, Teng Andrea Xu, Boris Kuznetsov Courses Big Data and Machine Learning for Financial Economics FIN-622 This class is an introduction to Machine Learning and High Dimensional Statistics in Finance. We start with purely empirical approach, focusing first on high dimensional regressions then moving to kernel methods and deep l
Colin Neil JonesColin Jones is an Associate Professor in the Automatic Control Laboratory at the Ecole Polytechnique Federale de Lausanne (EPFL) in Switzerland. He was a Senior Researcher at the Automatic Control Lab at ETH Zurich until 2011 and obtained a PhD in 2005 from the University of Cambridge for his work on polyhedral computational methods for constrained control. Prior to that, he was at the University of British Columbia in Canada, where he took a BASc and MASc in Electrical Engineering and Mathematics. Colin has worked in a variety of industrial roles, ranging from commercial building control to the development of custom optimization tools focusing on retail human resource scheduling. His current research interests are in the theory and computation of predictive control and optimization, and their application to green energy generation, distribution and management.
Julien HugonnierExpertise
Asset pricing theory, incomplete markets and financial frictions, general equilibrium theory, decision making under uncertainty
Teaching & PhD PhD Students Luca Pagliuca, Darius Nik Nejad Past EPFL PhD Students Rodolfo Javier Prieto Katunaric, Michael Hasler, Giuliano Antonio Curatola, Julien Cujean, Thomas Antonius Geelen, Nicolas Gauderon, Benoit Vincent Sylvain Cornet Past EPFL PhD Students as codirector Rémy Praz, Cagil Kocyigit, Alexis Marchal Courses Derivatives FIN-404 Thi
Timm FaulwasserCurrent research interests My research interests are focused on optimization-based control and real-time optimization. Especially, I am interested in the following topics: real-time optimization of uncertain nonlinear processes, nonlinear model predictive control (NMPC), turnpike properties of optimal control problems and their use in economic MPC, reference-tracking and path-following problems.I am interested in applying these control methods to energy systems, chemical process, aeronautics, and mechatro
Yifan HuExpertise
Optimization, Operations Research, Reinforcement Learning
I am a Postdoc with Prof. Daniel Kuhn from EPFL and Prof. Andreas Krause from ETH Zurich. Prior to that, I got my PhD in Operations Research from University of Illinois at Urbana-Champaign, advised by Prof. Xin Chen and Prof. Niao He. My research interest lies in data-driven decision-making with problems arising from optimization, operations research, and statistics. See Research for research directions and Publication for papers.
