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,
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.
Mika Tapani GöösWebsite
https://theory.epfl.ch/mika/
Teaching & PhD PhD Students Valentin Imbach, Ziyi Guan, Artur Riazanov, Anastasiia Sofronova, Weiqiang Yuan Past EPFL PhD Students Maystre Gilbert Théodore Courses Computational complexity CS-524 In computational complexity we study the computational resources needed to solve problems and understand the relation between different types of computation. This course advances the students knowledge of computational complexity, and develop an understanding o Serge VaudenaySerge Vaudenay entered at the Ecole Normale Supérieure in 1989 with a major in mathematics. He earned his agrégation (secondary teaching degree) in mathematics in 1992, then a PhD in Computer Science at the University of Paris 7 - Denis Diderot in 1995. He subsequently became a senior research fellow at the CNRS, prior to being granted his habilitation à diriger des recherches (a postdoctoral degree authorizing the recipient to supervise doctoral students). In 1999, he was appointed as a Professor at the EPFL, where he created the Security and Cryptography Laboratory.
Annalisa BuffaTeaching & PhD PhD Students Gonzalo Bonilla Moreno, Philipp Christoph Weder, Yannis Dirk Voet, Fabio Marcinno, Ferhat Sindy, Francesco Sala, Markus Renoldner, Mohamed Ben Abdelouahab, Davor Dobrota Past EPFL PhD Students Luca Coradello, Ondine Chanon, Riccardo Puppi Courses Numerical approximation of PDEs MATH-451 The course is about the derivation, theoretical analysis and implementation of the finite element method for the numerical approximation of partial differential equations in on
Jacques RappazOriginaire de Neyruz-sur-Moudon (VD), Jacques Rappaz est né le 22 mars 1947. Après ses études primaires et secondaires à Lausanne, il étudie la physique, de 1964 à 1970, à l'Ecole Polytechnique de l'Université de Lausanne (EPUL et EPFL dès 1969) où il obtient son diplôme en janvier 1971. Il entreprend ensuite un travail de recherche en analyse numérique à l'EPFL. En avril 1976, il soutient une thèse consacrée à l'approximation spectrale d'opérateurs provenant de la physique des plasmas.De 1977 à 1980, il es
Xavier Fernandez-Real GironaTeaching & PhD PhD Students Roberto Colombo Courses Optimal transport MATH-476 The first part is devoted to Monge and Kantorovitch problems, discussing the existence and the properties of the optimal plan. The second part introduces the Wasserstein distance on measures and develops applications of optimal transport to PDEs, functional/geometric inequalities, traffic models.
Dominique BonvinDominique Bonvin is Professor and Director of the Automatic Control Laboratory of EPFL. He received his Diploma in Chemical Engineering from ETH Zürich, and his Ph.D. degree from the University of California, Santa Barbara. He worked in the field of process control for the Sandoz Corporation in Basel and with the Systems Engineering Group of ETH Zürich. He joined the EPFL in 1989, where his current research interests include modeling, control and optimization of dynamic systems. He served as Director of the Automatic Control Laboratory for the periods 1993-97, 2003-2007 and again since 2012, Head of the Mechanical Engineering Department in 1995-97 and Dean of Bachelor and Master Studies at EPFL for the period 2004-2011.
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
Samuel DubuisAfter mathematics studies at EPFL, I go on with a PhD thesis under the supervision of Prof. Marco Picasso. Interested in teaching, I turn to the preparatory year of EPFL (CMS) where I worked since 2020.Centers of interests I like to work in classroom with students, in particular to guide them through elementary mathematics contents, that are the basis of engineering and experimental sciences.I also work with Prof. Picasso and his PhD and intern students in the fields of scientific computing and numerical a
Paolo PrandoniI appeared about at the same time as the White Album and, upon being born, I immediately took the one and only sabbatical of my life, which lasted a leisurely four years. I then proceeded to be pre-schooled, schooled, middle- and high-schooled, college educated, and finally grad-schooled here at EPFL. As a kid I was fascinated by those expensive long-distance phone calls and so I specialized in communication systems. And then I did this and I did that. But do we really want to go into details? I thought so.
Martin VetterliMartin Vetterli was appointed president of EPFL by the Federal Council following a selection process conducted by the ETH Board, which unanimously nominated him.
Professor Vetterli was born on 4 October 1957 in Solothurn and received his elementary and secondary education in Neuchâtel Canton. He earned a Bachelor’s degree in electrical engineering from ETH Zurich (ETHZ) in 1981, a Master’s of Science degree from Stanford University in 1982, and a PhD from EPFL in 1986. Professor Vetterli taught at Columbia University as an assistant and then associate professor. He was subsequently named full professor in the Department of Electrical Engineering and Computer Sciences at the University of California at Berkeley before returning to EPFL as a full professor at the age of 38. He has also taught at ETHZ and Stanford University.
Professor Vetterli has earned numerous national and international awards for his research in electrical engineering, computer science and applied mathematics, including the National Latsis Prize in 1996. He is a fellow of both the Association for Computing Machinery and the Institute of Electrical and Electronics Engineers and a member the US National Academy of Engineering. He has published over 170 articles and three reference works.
Professor Vetterli’s work on the theory of wavelets, which are used in signal processing, is considered to be of major importance by his peers, and his areas of expertise, including image and video compression and self-organized communication systems, are central to the development of new information technologies. As the founding director of the National Centre of Competence in Research on Mobile Information and Communication Systems, Professor Vetterli is a staunch advocate of transdisciplinary research.
Professor Vetterli knows EPFL inside and out. An EPFL graduate himself, he began been teaching at the school in 1995, was vice president for International Affairs and then Institutional Affairs from 2004 to 2011, and served as dean of the School of Computer and Communication Sciences in 2011 and 2012. In addition to his role as president of the National Research Council of the Swiss National Science Foundation, a position he held from 2013 to 2016, he heads the EPFL’s Audiovisual Communications Laboratory (LCAV) since 1995.
Professor Vetterli has supported more than 60 students in Switzerland and the United States in their doctoral work and makes a point of following their highly successful careers, whether it is in the academic or business world.
He is the author of some 50 patents, some of which were the basis for start-ups coming out of his lab, such as Dartfish and Illusonic, while others were sold (e.g. Qualcomm) as successful examples of technology transfer. He actively encourages young researchers to market the results of their work.
Michael Stefan Daniel LieblingTeaching & PhD Past EPFL PhD Students as codirector Christian Jaques, Olivia Mariani, Adrian Shajkofci, François Thierry M Marelli Courses Fundamentals of machine learning EE-311 This course provides a general overview of machine learning, covering the main algorithms, theoretical formalisms, and experimental protocols.
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.
Pina MarzilianoPina Marziliano obtained her Bachelors of Science degree in Applied Mathematics and Masters of Science degree in Computer Science in 1994 and 1996, respectively, from the Universite de Montreal. She completed the pioneering Doctoral School program in the Communications Systems Department at the EPFL in 1997 and obtained her PhD degree in 2001. Her professional career began as a Senior Research Engineer in a start-up company called Genimedia SA in Lausanne, Switzerland where she developed perceptual quality metrics for multimedia applications which led her to two highly cited (>100) journal and conference papers, as well as, the filing of a patent. In 2003, she became an Assistant Professor for the Division of Information Engineering in the School of Electrical and Electronic Engineering at the Nanyang Technological University in Singapore focusing her research in biomedical signal and image processing. In 2006, she was seconded to NTU’s International Relations Office for one year where she co-strategized the university international partnerships and conceptualised the Global Partnership Management and Analysis Tool. She received the IEEE Signal Processing Society 2006 Best Paper Award for the article entitled "Sampling Signals with Finite Rate of Innovation" co-authored with Martin Vetterli and Thierry Blu. Later that year patents on the same topic were acquired by Qualcomm Inc., USA, followed by consultancy work which led to obtaining US200KindustryresearchgrantfromQualcomm. In2009,aworkshopco−organisedbyNTU’sCollegeofEngineeringandTanTockSengHospitalandpartneroftheNTU−ImperialCollegeMedicalSchoolsparkedseveralresearchcollaborationswithdoctorsfromtheOphthalmologyDepartmentandDiagnosticRadiologyDepartmentwhichhaveledtojointinternationalconferenceandjournalpublications,significant(>SGD3M) joint research funding and a granted US patent. Apart from her research achievements, she has served as an Associate Editor for IEEE Signal Processing Letters, IEEE Transactions on Signal Processing, a technical reviewer for more than a dozen international conference and Tier-1 journal publications, as well as, a Technical Program Committee member of international conferences and voted in as member of the highly selective Signal Processing Theory and Methods Technical Committee in the IEEE Signal Processing Society. She has served as the Chair of the IEEE Singapore Section Women In Engineering (WIE) Affinity Group where she spearheaded and co-organized monthly technical and social activities, thus increasing the group’s visibility in the IEEE Singapore Section. With her leadership and initiatives, the group received the 2009 Honourable Mention Women in Engineering Affinity Group of the Year Award from the IEEE WIE Committee in the USA. In 2011, she was the General Chair of the 9th International Conference on Sampling Theory and Applications, co-organised by the School of EEE and School of Physical and Mathematical Sciences, NTU. This interdisciplinary conference and flagship event of her research community was held for the first time in Asia on the NTU campus. It gathered 132 participants comprising of mathematicians, engineers and applied scientists from 26 countries around the globe. In 2012, she was tenured and promoted to Associate Professor at the Nanyang Technological University in Singapore. Besides pursuing her academic career, she has been actively involved in technology transfer and entrepreneurship co-founding a design company (PABensen) and a biotechnology spin-off BIORITHM. In 2019, Pina Marziliano was appointed Executive Director of the Centre for Biomedical Imaging (CIBM), a centre composed of five partner institutions HUG, UNIGE, EPFL, UNIL and CHUV located in a 50km radius of the Lemans region in Switzerland. The unique union of reputable clinicians, academics and researchers combined with the capabilities of developing cutting edge technology and housing the latest state-of-the art equipment, is her source of inspiration and drive in leading CIBM, a world reknowned Centre of Excellence in Biomedical Imaging. 