Pierre VandergheynstPierre Vandergheynst received the M.S. degree in physics and the Ph.D. degree in mathematical physics from the Université catholique de Louvain, Louvain-la-Neuve, Belgium, in 1995 and 1998, respectively. From 1998 to 2001, he was a Postdoctoral Researcher with the Signal Processing Laboratory, Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland. He was Assistant Professor at EPFL (2002-2007), where he is now a Full Professor of Electrical Engineering and, by courtesy, of Computer and Communication Sciences. As of 2015, Prof. Vandergheynst serves as EPFL’s Vice-Provost for Education. His research focuses on harmonic analysis, sparse approximations and mathematical data processing in general with applications covering signal, image and high dimensional data processing, computer vision, machine learning, data science and graph-based data processing. He was co-Editor-in-Chief of Signal Processing (2002-2006), Associate Editor of the IEEE Transactions on Signal Processing (2007-2011), the flagship journal of the signal processing community and currently serves as Associate Editor of Computer Vision and Image Understanding and SIAM Imaging Sciences. He has been on the Technical Committee of various conferences, serves on the steering committee of the SPARS workshop and was co-General Chairman of the EUSIPCO 2008 conference. Pierre Vandergheynst is the author or co-author of more than 70 journal papers, one monograph and several book chapters. He has received two IEEE best paper awards. Professor Vandergheynst is a laureate of the Apple 2007 ARTS award and of the 2009-2010 De Boelpaepe prize of the Royal Academy of Sciences of Belgium.
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.
Michaël UnserExpertise
Image Processing, Medical Imaging, Biological Imaging, Wavelets, Splines, Multiresolution
Michael Unser is Full Professor with EPFL’s school of Engineering and the academic director of EPFL's Center for Imaging, Lausanne, Switzerland. His primary areas of investigation are signal processing, biomedical imaging and applied functional analysis. He is internationally recognized for his research contributions to sampling theory, wavelets, the use of splines for image processing, stochastic processes,
Carl Johan Peter JohanssonAwards Dean’s Award for Excellence in Teaching 2023-24 School of Basic Sciences, EPFL 2024 Prize for the best Master thesis poster in mathematics Mathematics Section, EPFL 2022 Matura Awards 2018, First Rank Swiss Mathematical Society 2018
Paul Joseph DysonPaul Dyson joined the Institute of Chemical Sciences and Engineering at the EPFL in 2002 where he heads the Laboratory of Organometallic and Medicinal Chemistry and between 2008 and 2016 chaired the Institute. He has won several prizes including the Werner Prize of the Swiss Chemical Society in 2004, the Award for Outstanding Achievements in Bioorganometallic Chemistry in 2010, the Centennial Luigi Sacconi Medal of the Italian Chemical Society in 2011, the Bioinorganic Chemistry Award of the Royal Society of Chemistry in 2015, the European Sustainable Chemistry Award of the European Chemical Society in 2018 and the Green Chemistry Award from the Royal Society of Chemistry in 2020. He is also a Clarivate Highly Cited Researcher and has an H-index >110 (web of science and google scholar). He was elected a Fellow of the Royal Society of Chemistry in 2010, a Fellow of the European Academy of Science in 2019 and a life-long fellow of the American Association for the Advancement of Science in 2020. Over the years he has held visiting professorships at the University of Bourgogne, University of Pierre et Marie Curie, University of Vienna, University of Rome Tor Vergara, Chimie Paristech and Shangai Jiao Tong University.Since 2016 he has been Member of the Council of the Division of Mathematics, Natural and Engineering Sciences at the Swiss National Science Foundation.Between 2016-2021 he has been Member of the Council of the Division of Mathematics, Natural and Engineering Sciences at the Swiss National Science Foundation. In 2021 he was appointed Dean of the Faculty of Basic Sciences.
Aleksandar AntanasijevicTeaching & PhD PhD Students Camilla Di Giulio, Kiruthika Kumar, Yash Garodia Courses Biological chemistry I BIO-212 Biochemistry is a key discipline for the Life Sciences. Biological Chemistry I and II are two tightly interconnected courses that aim to describe and understand in molecular terms the processes that make life possible. General chemistry for SV CH-100 This course covers essential notions in general chemistry, relative to matter and its structure, equilibriums
Marco PicassoExpertise
Computational Science and Engineering
Mission
I am teaching analysis and numerical analysis for engineers and mathematicians at bachelor and master levels.My research pertains to the numerical simulation of complex physical systems with partial differential equations.Here is some bibliometry: Google Scholar, Research Gate, Orcid, here is my most recent CV. Ongoing research projects: - Numerical simulation of aluminium electrolysis, collaboration with RioTinto LRF lab, Ycoorsystems SA and Jacques
