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.
Giovanni De MicheliExpertise
Technologies de conception pour les systèmes intégrés, tels que la synthèse, le codesign de HW/SW et la conception de basse puissance. Technologies de conception des systèmes sur les plateformes hétérogènes comprenant les composants électriques, et biologiques.
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Consulter svp http://si2.epfl.ch/~demichel/
Enseignement et PhD A dirigé les thèses EPFL de Abhishek Garg, Mohamed Haykel Ben Jamaa, Francesco Zanini, Ciprian Seiculescu, Cristina Boero, Hu Xu, Andrea Cavallini, Shashi Kanth Tyler SummersEnseignement et PhD Cours Dynamic programming and optimal control ENG-651
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.
Guillaume Alexandre C OlikierExpertise
Optimisation continue, analyse numérique
Guillaume Olikier est chercheur postdoctoral (Instructeur Bernoulli) au sein de l'Institut de Mathématiques à l'EPFL. Il a obtenu un master d'ingénieur en mathématiques appliquées (2017) et un doctorat en sciences de l'ingénieur et technologie (2023) de l'UCLouvain, Louvain-la-Neuve, Belgique. De 2023 à 2025, il était chercheur postdoctoral (Starting Research Position) au centre Inria d'Université Côte d’Azur, Sophia Antipolis, France . Son principal domain
Stefano Francesco BurzioExpertise
Analyse et modélisation des phénomènes naturels non linéaires. équations aux différentielles partielles hyperboliques. Méthodes des éléments finis.
Enseignement et PhD Cours Dynamic finite element analysis of structures ME-473 Le cours présente l'analyse numérique des structures en trois dimensions en utilisant la méthode des éléments finis dans le cadre de l'élasticité linéaire. Les étudiants acquerront une maîtrise des techniques numériques les plus couramment utilisées en dynami
Friedrich EisenbrandEnseignement et PhD Doctorant·es actuel·les Ruben Manuel Skorupinski, Neta Singer, Lukas Vogl, Jiaye Wei A dirigé les thèses EPFL de Thomas Rothvoss, Nicolai Hähnle, Martin Niemeier, Adrian Aloysius Bock, Carsten Moldenhauer, Alfonso Bolívar Cevallos Manzano, Manuel Francesco Aprile, Igor Malinovic, Christoph Hunkenschröder, Moritz Andreas Venzin, Jana Tabea Cslovjecsek A co-dirigé les thèses EPFL de Puck van Gerwen Cours Algèbre linéaire avancée II - diagonalisation MATH-115(a) L'objectif
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.
Ian SmithPhD Université de Cambridge, 1982 Interêts 1 Contrôle actif de la forme des structures pour améliorer leur aptitude au service et leur déploiement 2 Structures biomimétiques (apprentissage, auto-diagnostic, auto-réparation) 3 Gestion de l'infrastructure par l'identification structurale 4 Applications avancées de l'informatique Plus de détails, voir https://www.epfl.ch/labs/imac/fr/recherche/smith_ian_fr/ Kamiar AminianExpertise
Biomechanics of human movement Wearable Technology / Inertial sensors Gait Analysis / Physical Activity Monitoring Physical activity Patterns Sport Performance Orthopedics / Rehabilitation engineering Fall Prevention in Elderly Motor function in Parkinson disease Physical behavior in chronic pain
Expertise
Biomechanics of human movement Wearable Technology / Inertial sensors Gait Analysis / Physical Activity Monitoring Physical activity Patterns Sport Performance Orthopedics / Rehabilitation engin
Mohammad Amin ShokrollahiAmin Shokrollahi has worked on a variety of topics, including coding theory, computational number theory and algebra, and computational/algebraic complexity theory. He is best known for his work on iterative decoding algorithms of graph based codes, an area in which he holds a number of granted and pending patents. He is the co-inventor of Tornado codes, and the inventor of Raptor codes. His codes have been standardized and successfully deployed in practical areas dealing with data transmission over lossy networks.
Prior to joining EPFL, Amin Shokrollahi has held positions as the chief scientist of Digital Fountain, member of the technical staff at Bell Laboratories, senior researcher at the International Computer Science Insitute in Berkeley, and assistant professor at the department of computer science of the university of Bonn. He is a Fellow of the IEEE, and he was awarded the Best Paper Award of the IEEE IT Society in 2002 for his work on iterative decoding of LDPC code, the IEEE Eric Sumner Award in 2007 for the development of Fountain Codes, and the joint Communication Society/Information Theory Society best paper award of 2007 for his paper on Raptor Codes.
Mario PaoloneMario Paolone received the M.Sc. (with honors) and the Ph.D. degree in electrical engineering from the University of Bologna, Italy, in 1998 and 2002, respectively. In 2005, he was appointed assistant professor in power systems at the University of Bologna where he was with the Power Systems laboratory until 2011. In 2010, he received the Associate Professor eligibility from the Politecnico di Milano, Italy. Since 2011 he joined the Swiss Federal Institute of Technology, Lausanne, Switzerland, where he is now Full Professor, Chair of the Distributed Electrical Systems laboratory and Head of the Swiss Competence Center for Energy Research (SCCER) FURIES (Future Swiss Electrical infrastructure). He was co-chairperson of the technical programme committees of the 9th edition of the International Conference of Power Systems Transients (IPST 2009) and of the 2016 Power Systems Computation Conference (PSCC 2016). He was chair of the technical programme committee of the 2018 Power Systems Computation Conference (PSCC 2018). In 2013, he was the recipient of the IEEE EMC Society Technical Achievement Award. He was co-author of several papers that received the following awards: best IEEE Transactions on EMC paper award for the year 2017, in 2014 best paper award at the 13th International Conference on Probabilistic Methods Applied to Power Systems, Durham, UK, in 2013 Basil Papadias best paper award at the 2013 IEEE PowerTech, Grenoble, France, in 2008 best paper award at the International Universities Power Engineering Conference (UPEC). He was the founder Editor-in-Chief of the Elsevier journal Sustainable Energy, Grids and Networks and was Associate Editor of the IEEE Transactions on Industrial Informatics. His research interests are in power systems with particular reference to real-time monitoring and operation, power system protections, power systems dynamics and power system transients. Mario Paolone is author or coauthor of over 300 scientific papers published in reviewed journals and international conferences.
Olivier LévêqueOlivier Lévêque est né en Suisse en 1971. Il a reçu le diplôme d'ingénieur-physicien de l'EPFL en 1995 et obtenu le doctorat au Département de Mathématiques de l'EPFL en 2001. Depuis lors, il travaille au Laboratoire de Théorie de l'Information à l' EPFL. Il a passé l'année académique 2006-2007 au Département d'Electricité de l'Université de Stanford, où il a été nommé chargé de cours. Ses domaines d'intérêt comprennent la théorie de l'information, les matrices aléatoires et les équations aux dérivées partielles stochastiques.
Patrick ThiranPatrick Thiran is a full professor in network and systems theory at the School of Computer and Communication Sciences at EPFL. He holds an electrical engineering degree from the Université Catholique de Louvain, Louvain-la-Neuve, Belgium, an M.Sc. degree in electrical engineering from the University of California at Berkeley, USA, and he received the PhD degree from EPFL, in 1996. He became an adjunct professor in 1998, an assistant professor in 2002, an associate professor in 2006 and a full professor in 2011. He was with Sprint Advanced Technology Labs in Burlingame, California, in 2000-01.
His research interests are in communication and social networks, performance analysis and stochastic models. He is currently active in the analysis and design of wireless and PLC networks (scaling laws, medium access control), in network monitoring (network tomography, multi-layer networks), and data-driven network science. He also contributed to network calculus and to the theory of locally coupled neural networks and self-organizing maps.
He served as an associate editor for the IEEE Transactions on Circuits and Systems in 1997-99 and for the IEEE/ACM Transactions on Networking in 2006-10. He is currently on the editorial board of the IEEE Journal on Selected Areas in Communication. He is/was on the program committee of different conferences in networking, including ACM Sigcomm, Sigmetrics, IMC, CoNext and IEEE Infocom. He was TPC chair of AMC IMC 2011 and CoNext 2012. He is a Fellow of the Belgian American Educational Foundation and of the IEEE. He received the 1996 EPFL Doctoral Prize and the 2008 Crédit Suisse Teaching Award.
