Romain Couilet (Centrale-Supélec)
Romain Couillet is currently a full professor in the LSS laboratory at CentraleSupélec, France. His research topics are in random matrix theory applied to statistics, machine learning, signal processing, and wireless communications. He is an IEEE Senior Member. He is the recipient of the 2013 CNRS Bronze Medal in the section "science of information and its interactions", of the 2013 IEEE ComSoc Outstanding Young Researcher Award (EMEA Region), of the 2011 EEA/GdR ISIS/GRETSI best PhD thesis award, and of the Valuetools 2008 best student paper award.
Laurent Massoulié (Inria)
Laurent Massoulié graduated from the Ecole Polytechnique, Palaiseau, France, in 1991, and received the Ph.D. degree in automatic control from Paris Sud University, Orsay, France, in 1995. He is a researcher at Inria where he leads the Microsoft Research-Inria Joint Centre, and a Professor at the Applied Mathematics Centre of Ecole Polytechnique. His research focuses on probabilistic modeling and design of algorithms for machine learning as well as “large networks,” including P2P and social networks. He has held positions with France Telecom R&D from 1995 to 1999, Microsoft Research, Cambridge, U.K., from 1999 to 2006, and Technicolor, Paris, France, from 2006 to 2012. Dr. Massoulié has served as Associate Editor of Queueing Systems: Theory and Applications from 2000 to 2006, the IEEE/ACM TRANSACTIONS ON NETWORKING in 2008, and the Stochastic Systems Journal from 2011 to the present. He has coauthored the Best Paper Award-winning papers of IEEE INFOCOM 1999, ACM SIGMETRICS 2005, and ACM CoNEXT 2007, been elected a Technicolor Fellow in 2011, and received the “Grand Prix Scientifique” from the Del Duca Foundation in 2017.
Georgios Paschos (Huawei)
Since Nov 2014, Georgios is a principal researcher at Huawei Technologies, Paris, France, leading the Network Control and Resource Allocation team. Previously, he spent two years at MIT in the team of Prof. Eytan Modiano. For the period June 2008-Nov 2014 he was affiliated with “The Center of Research and Technology Hellas - Informatics & Telematics Institute” CERTH- ITI, Greece, working with Prof. Leandros Tassiulas. He also taught in the University of Thessaly, Dept. of Electrical and Computer Engineering as an adjunct lecturer for the period 2009-2011. In 2007-2008 he was an ERCIM Postdoc Fellow in VTT, Finland, working in the team of Prof. Norros. He received his diploma in Electrical and Computer Engineering (2002) from Aristotle University of Thessaloniki, and his PhD degree in Wireless Networks (2006) from ECE dept. University of Patras (supervisor Prof. Stavros Kotsopoulos), both in Greece. Two of his papers won the best paper award, in GLOBECOM 07’ and IFIP Wireless Days 09’ respectively. He serves as an associate editor for IEEE/ACM Trans. on Networking, and as a TPC member of INFOCOM, WiOPT, and Netsoft.
Nicolas Tremblay (CNRS and GIPSA-lab)
Nicolas Tremblay received in 2009 the M.Sc. degree in theoretical physics with a minor in complex systems, from the Ecole Normale Superieure (ENS) de Lyon, France. He received his Ph.D. from the ENS in physics and signal processing in 2014. He worked with the PANAMA team (INRIA, Rennes, France) and the LTS2 team (EPFL, Lausanne, Switzerland), before joining the CNRS as a research fellow in 2016. He currently works at the GIPSA-lab, Grenoble, France. His research interests include graph signal processing, complex networks analysis, machine learning algorithms, and their application to biological or sensor networks.
Pierre Vandergheynst (EPFL)
Pierre Vandergheynst is Professor of Electrical Engineering at the Ecole Polytechnique Fédérale de Lausanne (EPFL) and Director of the Signal Processing Laboratory (LTS2). A theoretical physicist by training, Pierre is a renown expert in the mathematical modelling of complex data. His current research focuses on data processing with graph-based methods with a particular emphasis on machine learning and network science. Pierre Vandergheynst has served as associate editor of multiple flagship journals, such as the IEEE Transactions on Signal Processing or SIAM Imaging Sciences. He is the author or co-author of more than 100 published technical papers and has received several best paper awards from technical societies. He was awarded the Apple ARTS award in 2007 and the De Boelpaepe prize of the Royal Academy of Sciences of Belgium in 2010. As of January 1st 2017, Prof. Vandergheynst is EPFL’s Vice-President for Education.
Michèle Wigger (Télécom ParisTech)
Michèle Wigger received the M.Sc. degree in electrical engineering, with distinction, and the Ph.D. degree in electrical engineering both from ETH Zurich in 2003 and 2008, respectively. She was awarded two ETH Medals, one for her Master Thesis and one for her PhD Thesis. Dr. Wigger received a Swiss National Science Foundation Scholarship for Prospective Researchers, and in 2009 was a post-doctoral fellow at the University of California, San Diego, USA. She has held visiting professor appointments at the Technion-Israel Institute of Technology and ETH Zurich. She joined Telecom Paris Tech, Paris France in 2009 where she is currently an Associate Professor. Dr. Wigger is an associate editor for the IEEE Transactions on Information Theory. She is a member of the Board of Governors of the IEEE Information Theory Society. Funding accomplishments include an Emergences Grant from the city of Paris, a Disruptive-ICT grant from Huawei, and an ERC Starting Grant.
Mansoor Yousefi (Télécom ParisTech)
Mansoor I. Yousefi is Assistant Professor in Communications and Electronics Department at Télécom ParisTech, Paris, France. He received his Ph.D. from the University of Toronto, Canada, in Electrical Engineering in 2013. From 2013 to 2016, he was a Postdoctoral Fellow at the Institute for Advanced Study, and the Institute for Communications Engineering, at the Technical University of Munich, Germany. His research interests include information theory, communication theory and optical fiber. He is a recipient of a number of awards and fellowships.
Lenka Zdeborova (CEA)
Lenka Zdeborová is a researcher at CNRS working in the Institute of Theoretical Physics in CEA Saclay, France. 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. In 2014, she was awarded the CNRS bronze medal, in 2016 the Philippe Meyer prize in theoretical physics, and a ERC Starting Grant. Lenka's expertise is in applications of methods developed in 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 has organized a number of international programs and advanced schools on these topics (e.g. Aspen 2012, Les Houches 2013, Cargese 2014, Boulder 2017).