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Person

Jean-Philippe Thiran

This person has left EPFL

Teaching & PhD PhD Students Andrés Le Boeuf Fló, Mutian He, Natalia Pato Montemayor, Jocelyn Philippe, Roser Vinals Terres, Ekin Taskin, Salomé Baup, Tilak Purohit, Sebastian Mayr, Ayoub Tajja, Dario Sciacca, Chenyu Cui, Lina Bacha, Mathieu Benjamin Ruch, Loris Constantin Past EPFL PhD Students Torsten Butz, Meritxell Bach Cuadra, Datong Chen, François Mendels, Eduardo Solanas Vilar, Vlad Popovici, Xavier Bresson, Patric Hagmann, Lisa Jonasson, Gianluca Antonini, Fabien Cardinaux, Roberto Martuzzi, Valérie Duay, Ivana Arsic de Heras Ciechomska, Francisco Javier Sanchez Castro, Julien Meynet, Dragana Viceic, Laura Ioana Gui, Matteo Sorci, Xavier Gigandet, Mihai Gurban, Nawal Houhou, Dominique Zosso, Bénédicte Marie Maréchal Mortamet, Benoit Mory, Tiziano Leidi, Djalel Eddine Meskaldji, Subrahmanyam Venkata Ravi Mohana Sai Gorthi, Virginia Estellers Casas, Frank Grégoire Jean de Morsier, Alia Lemkaddem, Alessandra Griffa, Elda Fischi Gomez, Jelena Stamenkovic, Anil Yuce, Pavel Falkovskiy, Martin Proença, Gabriel Louis Cuendet, Anna Auria, Nuri Murat Arar, Mina Bjelogrlic, Tom Hilbert, Marina Zimmermann, Vijay Kartik, Fabian Braun, David Romascano, Adrien Georges Jean Besson, Muhamed Barakovic, Gaëtan Rensonnet, Dimitris Perdios, Mohammad Saeed Rad, Christophe René Joseph Ecabert, Gian Franco Piredda, Jonathan Rafael Patiño Lopez, Guillaume Jaume, Thomas Yu, Francesco La Rosa, Christian Robert Abbet, Alexander Unnervik, Loïc François Andrée Jeanningros, Veronica Ravano, Samuel Beuret, Rémy Marc M Gardier, Baptiste Ghislain Emmanuel Hériard-Dubreuil, Hatef Otroshi Shahreza, Juan Pablo Zuluaga Gomez, Devavrat Tomar, Jankowski Julius Maximilian, Juan Luis Villarreal Haro, Thomas Grégoire Stegmüller, Tobias Löw, Sandra Maria Marcadent, Magali Jonnalagedda-Cattin, Guillaume Marc Georges Vray Past EPFL PhD Students as codirector Nicolas Fête, Javier Cruz Mota, Bilal Demir Courses Fundamentals of electrical circuits and systems I EE-406 This course gives you an introduction to signal processing, focusing on the Fourier transform, on signal sampling and reconstruction and the Discrete Fourier transform. Image analysis and pattern recognition EE-451 This course gives an introduction to the main methods of image analysis and pattern recognition. Lab in information technologies EE-390(c) Get familiar with experimental aspects of the main domains of the orientation "Information and communication technologies" Lab in signal and image processing EE-490(f) These lab sessions are hands-on exercises focusing on the basics of image processing and deep learning. The main objective is to learn how to use some important image processing libraries, namely OpenCV, numpy and TensorFlow, to perform image analysis tasks. Signal processing EE-350 In this course, we introduce the main methods in signal processing. Signals and systems (for EL) EE-205 This course establishes the foundations of an essential concept in engineering: the notion of a system. More specifically, the course introduces the theory of linear time-invariant (LTI) systems, which are widely used to model both physical reality and human-engineered systems.

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Courses taught by this person (6)

EE-205: Signals and systems (for EL)

Ce cours pose les bases d'un concept essentiel en ingénierie : la notion de système. Plus spécifiquement, le cours présente la théorie des systèmes linéaires invariants dans le temps (SLIT), qui sont largement utilisés pour modéliser aussi bien une réalité ...

EE-350: Signal processing

Dans ce cours, nous présentons les méthodes de base du traitement des signaux. ...

EE-406: Fundamentals of electrical circuits and systems I

This course gives you an introduction to signal processing, focusing on the Fourier transform, on signal sampling and reconstruction and the Discrete Fourier transform. ...

Related publications (483)

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People doing similar research (44)

Michaël Unser

Pierre Vandergheynst

Pierre 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.

Hervé Bourlard

Sabine Süsstrunk

Prof. Dr. Sabine Süsstrunk leads the Image and Visual Representation Lab in the School of Computer and Communication Sciences (IC) at EPFL since 1999. From 2015-2020, she was also the first Director of the Digital Humanities Institute (DHI), College of Humanities (CdH). Her main research areas are in computational photography, computational imaging, color image processing and computer vision, machine learning, and computational image quality and aesthetics. Sabine has authored and co-authored over 200 publications, of which 7 have received best paper/demo awards, and holds over 10 patents. Sabine served as chair and/or committee member in many international conferences on image processing, computer vision, and image systems engineering. She is President of the Swiss Science Council SSC, Founding Member and Member of the Board (President 2014-2018) of the EPFL-WISH (Women in Science and Humanities) Foundation, Member of the Board of the SRG SSR (Swiss Radio and Television Corporation), and Member of the Board of Largo Films. She received the IS&T/SPIE 2013 Electronic Imaging Scientist of the Year Award for her contributions to color imaging, computational photography, and image quality, and the 2018 IS&T Raymond C. Bowman and the 2020 EPFL AGEPoly IC Polysphere Awards for excellence in teaching. Sabine is a Fellow of IEEE and IS&T.

Meritxell Bach Cuadra

Mathieu Salzmann

I am a Senior Researcher at EPFL-CVLab, and, since May 2020, an Artificial Intelligence Engineer at ClearSpace (50%). Previously, I was a Senior Researcher and Research Leader in NICTA's computer vision research group. Prior to this, from Sept. 2010 to Jan 2012, I was a Research Assistant Professor at TTI-Chicago, and, from Feb. 2009 to Aug. 2010, a postdoctoral fellow at ICSI and EECS at UC Berkeley under the supervision of Prof. Trevor Darrell. I obtained my PhD in Jan. 2009 from EPFL under the supervision of Prof. Pascal Fua.

Alfio Quarteroni

Of italian nationality, Alfio Quarteroni was born on May 30th 1952. He pursued his studies in mathematics at University of Pavia and at University of Paris VI. In 1986 he was nominated full professor at Catholic University of Brescia, later professor in mathematics at University of Minnesota at Minneapolis and professor in numerical analysis at Politecnico di Milano. He is designated full professor in 1997 and enters into service with EPFL in 1998. At EPFL, he teaches numerical analysis to engineers and mathematicians and holds specialized courses about mathematical modelling and scientific computing for master and PhD students. He had been scientific director of CRS4, plenary speaker of more than two hundred international conferences; he is member of the European Academy of Sciences, the Italian Academy of Sciences, the Lombard Academy of Science and Letters. He is Editor in Chief of two book series (MS&A and Unitext) by Springer, associate editor of 25 international journals. He has been plenary speaker at the International Congress of Mathematicians ICM2006. He had been responsible of several European research networks. His team has carried out the aerodynamic and hydrodynamic simulations for the optimization of Alinghi, the Swiss sailing yacht that has won two editions of the America's Cup in 2003 and 2007.

Aude Billard

Michael Christoph Gastpar

Michael Gastpar is a (full) Professor at EPFL. From 2003 to 2011, he was a professor at the University of California at Berkeley, earning his tenure in 2008. He received his Dipl. El.-Ing. degree from ETH Zürich, Switzerland, in 1997 and his MS degree from the University of Illinois at Urbana-Champaign, IL, USA, in 1999. He defended his doctoral thesis at EPFL on Santa Claus day, 2002. He was also a (full) Professor at Delft University of Technology, The Netherlands. His research interests are in network information theory and related coding and signal processing techniques, with applications to sensor networks and neuroscience. He is a Fellow of the IEEE. He is the co-recipient of the 2013 Communications Society & Information Theory Society Joint Paper Award. He was an Information Theory Society Distinguished Lecturer (2009-2011). He won an ERC Starting Grant in 2010, an Okawa Foundation Research Grant in 2008, an NSF CAREER award in 2004, and the 2002 EPFL Best Thesis Award. He has served as an Associate Editor for Shannon Theory for the IEEE Transactions on Information Theory (2008-11), and as Technical Program Committee Co-Chair for the 2010 International Symposium on Information Theory, Austin, TX.

Ali H. Sayed

Ali H. Sayed is Dean of Engineering at EPFL, Switzerland, where he also leads the Adaptive Systems Laboratory. He has also served as Distinguished Professor and Chairman of Electrical Engineering at UCLA. He is recognized as a Highly Cited Researcher and is a member of the US National Academy of Engineering. He is also a member of the World Academy of Sciences and served as President of the IEEE Signal Processing Society during 2018 and 2019. Dr. Sayed is an author/co-author of over 570 scholarly publications and six books. His research involves several areas including adaptation and learning theories, data and network sciences, statistical inference, and multiagent systems. His work has been recognized with several major awards including the 2022 IEEE Fourier Award, the 2020 Norbert Wiener Society Award and the 2015 Education Award from the IEEE Signal Processing Society, the 2014 Papoulis Award from the European Association for Signal Processing, the 2013 Meritorious Service Award and the 2012 Technical Achievement Award from the IEEE Signal Processing Society, the 2005 Terman Award from the American Society for Engineering Education, the 2005 Distinguished Lecturer from the IEEE Signal Processing Society, the 2003 Kuwait Prize, and the 1996 IEEE Donald G. Fink Prize. His publications have been awarded several Best Paper Awards from the IEEE (2002, 2005, 2012, 2014) and EURASIP (2015). He is a Fellow of IEEE, EURASIP, and the American Association for the Advancement of Science (AAAS); the publisher of the journal Science.