Rajita Ramesh ChandakExpertise
L'estimations non parametrique, théorie de l'apprentissage automatique, l'inférence statistique.
Enseignement et PhD Cours Nonparametric estimation and inference MATH-524 Les modèles non paramétriques sont utilisés pour identifier les relations non linéaires au sein des données. Ce cours donne un aperçu de l'estimation statistique et de la théorie de l'inférence non paramétrique. Statistical inference MATH-562 L'inférence du particulier au général basée sur des modè
Hervé BourlardEnseignement et PhD A dirigé les thèses EPFL de Astrid Hagen, Katrin Weber, Todd Stephenson, Jitendra Ajmera, Shajith Ikbal, Mathew Magimai Doss, Mohamed Faouzi Benzeghiba, Mark Barnard, Yann Rodriguez, Hemant Misra, Christos Dimitrakakis, Guillaume Lathoud, Alexei Pozdnoukhov, Agnès Just, Mikaela Keller, Norman Hoon Thian Poh, Dong Zhang, Florent Monay Michaud, Pedro Manuel Da Silva Quelhas, Kevin Smith, Silèye Oumar Ba, Bertrand Mesot, Hamed Ketabdar, David Grangier, Guillermo Aradilla, Jean-François Paie
Giuseppe CarleoTwitter
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Enseignement et PhD Doctorant·es actuel·les Gian Gentinetta, Linda Mauron, Samuele Piccinelli, Alessandro Sinibaldi, Shao Hen Chiew, David Linteau, Clemens Giuliani, Ali Goodarzi, Gianluca Grosso, Ruize Ma, Ekaterina Pankovets A dirigé les thèses EPFL de Dian Wu, Julien Sebastian Gacon, Gabriel Maria Pescia, Barison Stefano, Imelda Romero Cours Advanced computational physics PHYS-339 Le cours couvre l'algèbre linéaire dense/creuse, les méthodes variati Pascal FuaPascal Fua received an engineering degree from Ecole Polytechnique, Paris, in 1984 and the Ph.D. degree in Computer Science from the University of Orsay in 1989. He then worked at SRI International and INRIA Sophia-Antipolis as a Computer Scientist. He joined EPFL in 1996 where he is now a Professor in the School of Computer and Communication Science and heads the Computer Vision Laboratory. His research interests include shape modeling and motion recovery from images, analysis of microscopy images, and Augmented Reality. His research interests include shape modeling and motion recovery from images, analysis of microscopy images, and machine learning. He has (co)authored over 300 publications in refereed journals and conferences. He is an IEEE Fellow and has been an Associate Editor of IEEE journal Transactions for Pattern Analysis and Machine Intelligence. He often serves as program committee member, area chair, and program chair of major vision conferences and has cofounded three spinoff companies (Pix4D, PlayfulVision, and NeuralConcept).
Frédéric MilaEnseignement et PhD Doctorant·es actuel·les Afonso Dos Santos Rufino, Mohamed Zakaria Jouini, Tianyue Huang A dirigé les thèses EPFL de Thomas Gloor, François Vernay, Cédric Weber, Julien Dorier, Julien Sudan, Tamás András Tóth, Tommaso Coletta, Frédéric Alexis Michaud, Jérôme Dufour, Natalia Chepiga, Laurent Pagnier, Francisco Hyunkyu Kim, Melvyn Sandy Tyloo, Samuel Gozel, Jeanne Colbois, Ivo Aguiar Maceira, Mithilesh Nayak, Samuel Louis Nyckees, Keita Omiya A co-dirigé les thèses EPFL de Alex Kruchkov,
Mirjana StojilovicMirjana Stojilović received the Dipl. Ing. and Ph.D. degrees from the School of Electrical Engineering, University of Belgrade, in 2006 and 2013, respectively. From 2010 to 2013, she was collaborating with the Processor Architecture Laboratory at EPFL, visiting periodically as a Guest Researcher. From 2013 to 2016, she was working at the University of Applied Sciences Western Switzerland as a senior researcher, and at EPFL as a lecturer. She joined Parallel Systems Architecture Lab at EPFL in October 2016. Mirjana's main research interests include electronic design automation, reconfigurable computing, electromagnetic-compatibility and signal-integrity issues, and hardware security. Mirjana Stojilović serves on the program committee of the FPGA, FPL, and FCCM conferences and as a reviewer for IEEE TCAD, TVLSI, TC, TEMC, IEEE Access and ACM TRETS. She received the Best Paper Award at 2016 International Symposium on Electromagnetic Compatibility (EMC Europe 2016), Young Scientist Award at 33rd International Conference on Lightning Protection (ICLP2016), and the Young Author Best Paper Award at the 20th Telecommunication Forum in Belgrade (TELFOR 2012). In 2015, the EPFL School of Computer and Communication Sciences (IC) presented her with the Teaching Award.
Cristina Ramona Cudalbu MoldovanCristina Cudalbu obtained her Bachelors of Science degree in Medical Physics in 2002 and Masters of Science degree in Biophysics and Medical Physics in 2003, both from University Babes-Bolyai, Cluj-Napoca, Romania. In 2006 she obtained her PhD degree in Localized Proton MRS and time domain quantification of cerebral metabolites at 7T and 4.7T at University Lyon 1, RMN Laboratory, Villeurbanne, France.In 2007, she joined, as a Scientist, the Laboratory for Functional and Metabolic Imaging at EPFL, where she implemented new acquisition and quantification techniques for in vivo nitrogen, proton and carbon MRS for preclinical studies. Starting 2012, Cristina Cudalbu was appointed as Research Staff Scientist and 9.4T MRI Operational Manager at Centre d’Imagerie Biomédicale (CIBM) at EPFL. She is now developing new research lines at CIBM, being oriented towards new acquisition and quantification techniques for in vivo proton, phosphorous, carbon, nitrogen MRS and fast MRSI, diffusion weighted spectroscopy and brain macromolecules quantification. She is now applying these developments on chronic hepatic encephalopathy, a research area that she developed at CIBM (https://actu.epfl.ch/news/when-liver-disease-affects-the-brain/), and on different collaborative projects with researchers from the five partner institutions of CIBM. 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.
Michael GraetzelProfessor of Physical Chemistry at the Ecole polytechnique fédérale de Lausanne (EPFL) Michael Graetzel, PhD, directs there the Laboratory of Photonics and Interfaces. He pioneered research on energy and electron transfer reactions in mesoscopic systems and their use to generate electricity and fuels from sunlight. He invented mesoscopic injection solar cells, one key embodiment of which is the dye-sensitized solar cell (DSC). DSCs are meanwhile commercially produced at the multi-MW-scale and created a number of new applications in particular as lightweight power supplies for portable electronic devices and in building integrated photovoltaics. They engendered perovskite solar cells (PSCs) which turned into the most exciting break-through in the history of photovoltaics. He received a number of prestigious awards, of which the most recent ones include the RusNANO Prize, the Zewail Prize in Molecular Science, the Global Energy Prize, the Millennium Technology Grand Prize, the Marcel Benoist Prize, the King Faisal International Science Prize, the Einstein World Award of Science and the Balzan Prize. He is a Fellow of several learned societies and holds eleven honorary doctor’s degrees from European and Asian Universities. His over 1500 publications have received some 220’000 citations with an h-factor of 218 (SI-Web of Science) demonstrating the strong impact of his scientific work.
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.
