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.
Michaël UnserExpertise
Image Processing Medical Imaging Biological Imaging Wavelets Splines Multiresolution
Enseignement et PhD Doctorant·es actuel·les Youssef Haouchat, Vincent Patrick Lawrence Guillemet, Bassam El Rawas, Stanislas Ducotterd, Mehrsa Pourya, Zhiyuan Hu A dirigé les thèses EPFL de Stefan Horbelt, Jan Kybic, Maria Arrate Munoz Barrutia, Manuela Feilner, Slavica Jonic, Mathews Jacob, Michael Liebling, Michael Sühling, Muthuvel Arigovindan, François Aguet, Cédric Vonesch, Ildar Khalidov, Sathish Ramani, F
Wulfram GerstnerWulfram Gerstner is Director of the Laboratory of Computational Neuroscience LCN at the EPFL. His research in computational neuroscience concentrates on models of spiking neurons and spike-timing dependent plasticity, on the problem of neuronal coding in single neurons and populations, as well as on the link between biologically plausible learning rules and behavioral manifestations of learning. He teaches courses for Physicists, Computer Scientists, Mathematicians, and Life Scientists at the EPFL. After studies of Physics in Tübingen and at the Ludwig-Maximilians-University Munich (Master 1989), Wulfram Gerstner spent a year as a visiting researcher in Berkeley. He received his PhD in theoretical physics from the Technical University Munich in 1993 with a thesis on associative memory and dynamics in networks of spiking neurons. After short postdoctoral stays at Brandeis University and the Technical University of Munich, he joined the EPFL in 1996 as assistant professor. Promoted to Associate Professor with tenure in February 2001, he is since August 2006 a full professor with double appointment in the School of Computer and Communication Sciences and the School of Life Sciences. Wulfram Gerstner has been invited speaker at numerous international conferences and workshops. He has served on the editorial board of the Journal of Neuroscience, Network: Computation in Neural Systems', Journal of Computational Neuroscience', and `Science'.
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 Olivier VerscheureEnseignement et PhD Cours Data science pour ingénieurs avec Python ENG-209 Ce cours propose une immersion progressive et complète dans le domaine de la Data Science à travers le langage Python. Il guide les étudiants depuis la manipulation de données brutes jusqu'à la modélisation et l'extraction de connaissances utiles à partir de données réelles. Large-scale data science for real-world data COM-490 Ce cours pratique couvre outils et méthodes des data scientists, de la reche
Pascal FrossardTeaching & PhD PhD Students Yiming Qin, Alba Carballo Castro, Elisa Messori, Ke Wang, Sevda Ögüt, Tuna Alikasifoglu, William Cappelletti, Manuel Madeira, Mahdi Amiri, Ortal Yona Senouf, Vasiliki Rizou, Cem Bilaloglu, Abdellah Rahmani, Amel Abdelraheem, Jérémy Jean Philippe Baffou, Adam Hazimeh, Vincent Jung, Yike Zhao Past EPFL PhD Students Dan Jurca, Jean-Paul Wagner, Ivana Radulovic, Ivana Tosic, Effrosyni Kokiopoulou, Zafer Arican, Vijayaraghavan Thirumalai, Tamara Tosic, Eirina Bourtsoulatze, Elif Vur
Lenka ZdeborováLenka Zdeborová is a Professor of Physics and of Computer Science in École Polytechnique Fédérale de Lausanne where she leads the Statistical Physics of Computation Laboratory. She received a PhD in physics from University Paris-Sud and from Charles University in Prague in 2008. She spent two years in the Los Alamos National Laboratory as the Director's Postdoctoral Fellow. Between 2010 and 2020 she was a researcher at CNRS working in the Institute of Theoretical Physics in CEA Saclay, France. In 2014, she was awarded the CNRS bronze medal, in 2016 Philippe Meyer prize in theoretical physics and an ERC Starting Grant, in 2018 the Irène Joliot-Curie prize, in 2021 the Gibbs lectureship of AMS. She is an editorial board member for Journal of Physics A, Physical Review E, Physical Review X, SIMODS, Machine Learning: Science and Technology, and Information and Inference. Lenka's expertise is in applications of concepts from statistical physics, such as advanced mean field methods, replica method and related message-passing algorithms, to problems in machine learning, signal processing, inference and optimization. She enjoys erasing the boundaries between theoretical physics, mathematics and computer science.
Henry MarkramEnseignement et PhD Doctorant·es actuel·les Davide Bella A dirigé les thèses EPFL de Tania Rinaldi, Jean-Vincent Le Bé, Michele Pignatelli, Thomas Berger, Luca Gambazzi, Rodrigo de Campos Perin, Imad Riachi, Muhammad Asif Jan, Rajnish Ranjan, Srikanth Ramaswamy, Georges Khazen, Vincent Delattre, Mônica Favre, Shruti Muralidhar, Michael Reimann, Jean Pierre Ghobril, Renaud Luc Richardet, Marwan Abdellah, Willem Wybo, Csaba Erö, Lida Kanari, Giuseppe Chindemi, Berat Denizdurduran, Max Nolte, Taylor Howard N
Pierre-André FarinePierre-André Farine received the Doctoral and Engineering Degrees in Microtechnology from University of Neuchâtel, Switzerland, respectively in 1984 and 1978, and the Engineering in Microtechnology from ETS Le Locle in 1974.
He was working 17 years for the Swiss watch industries (Swatch Group), including developments for high-tech products, such as pager watches, watches including integrated sensors such as pressure, compass, altimeter and temperature sensors for Tissot. He was also involved in prototypes developments for watches including GPS and cellular GSM phones.
Since 8 years, he is Professor in Electronics and Signal Processing at the Institute of Microtechnology IMT, University of Neuchâtel, Switzerland. Full professor at EPFL since January 1st, 2009, he works in the field of low-power integrated products for portable devices, including microelectronics for wireless telecommunications, UWB and GNSS systems. He is Head of the Electronics and Signal Processing Laboratory ESPLAB of the EPFL IMT-NE. His laboratory works also for video and audio compression algorithms and their implementation in low power integrated circuits.
Radhakrishna AchantaEnseignement et PhD Doctorant·es actuel·les Martin Nicolas Everaert A co-dirigé les thèses EPFL de Nikolaos Arvanitopoulos Darginis, Bryan German Pantoja Rosero
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
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.
Farhad Rachidi-HaeriFarhad Rachidi (IEEE Fellow, EMP Fellow, Electromagnetics Academy Fellow) was born in Geneva in 1962. He received the M.S. degree in electrical engineering and the Ph.D. degree from the Swiss Federal Institute of Technology, Lausanne, in 1986 and 1991 respectively.
He worked at the Power Systems Laboratory of the same institute until 1996 and had several short stays at the University of Florida and the NASA Kennedy Space Center. In 1997, he joined the Lightning Research Laboratory of the University of Toronto in Canada and from April 1998 until September 1999, he was with Montena EMC in Switzerland. He is currently a titular professor and the head of the EMC Laboratory at the Swiss Federal Institute of Technology, Lausanne, Switzerland.
His research interests concern electromagnetic compatibility, lightning electromagnetics and electromagnetic field interactions with transmission lines.
Dr. Rachidi is currently a member of the Advisory Board of the IEEE TRANSACTIONS ON ELECTROMAGNETIC COMPATIBILITY and the President of the Swiss National Committee of the International Union of Radio Science.
He has received numerous awards including the 2005 IEEE EMC Technical Achievement Award, the 2005 CIGRE Technical Committee Award, the 2006 Blondel Medal from the French Association of Electrical Engineering, Electronics, Information Technology and Communication (SEE), the 2016 Berger Award from the International Conference on Lightning Protection, the 2016 Best Paper Award of the IEEE Transactions on EMC, and the 2017 Motohisa Kanda Award for the most cited paper of the IEEE Transactions on EMC (2012-2016).
In 2014, he was conferred the title of Honorary Professor of the Xi’an Jiaotong University in China.
He served as the Vice-Chair of the European COST Action on the Physics of Lightning Flash and its Effects from 2005 to 2009, the Chairman of the 2008 European Electromagnetics International Symposium, the President of the International Conference on Lightning Protection from 2008 to 2014, the Editor-in-Chief of the Open Atmospheric Science Journal (2010-2012) and the Editor-in-Chief of the IEEE TRANSACTIONS ON ELECTROMAGNETIC COMPATIBILITY from 2013 to 2015. He is a Fellow of the IEEE and of the SUMMA Foundation, and a member of the Swiss Academy of Sciences.
He is the author or coauthor of over 200 scientific papers published in peer-reviewed journals and over 400 papers presented at international conferences.
Dario FloreanoProf. Dario Floreano is director of the Laboratory of Intelligent Systems at the Swiss Federal Institute of Technology Lausanne (EPFL). Since 2010, he is the founding director of the Swiss National Center of Competence in Robotics, a research program that brings together more than 20 labs across Switzerland. Prof. Floreano holds an M.A. in Vision, an M.S. in Neural Computation, and a PhD in Robotics. He has held research positions at Sony Computer Science Laboratory, at Caltech/JPL, and at Harvard University. His main research interests are Robotics and A.I. at the convergence of biology and engineering. Prof. Floreano made pioneering contributions to the fields of evolutionary robotics, aerial robotics, and soft robotics. He served in numerous advisory boards and committees, including the Future and Emerging Technologies division of the European Commission, the World Economic Forum Agenda Council, the International Society of Artificial Life, the International Neural Network Society, and in the editorial committee of several scientific journals. In addition, he helped spinning off two drone companies (senseFly.com and Flyability.com) and a non-for-profit portal on robotics and A.I. (RoboHub.org). Books
Manuale sulle Reti Neurali, il Mulino (in Italian), 1996 (first edition), 2006 (second edition)Evolutionary Robotics, MIT Press, 2000
Bio-Inspired Artificial Intelligence, MIT Press, 2008
Flying Insects and Robots, Springer Verlag, 2010
