Training School on Machine Learning for Communications

23-25 September 2019 // Paris, France

Speakers

H. Vincent Poor is the Michael Henry Strater University Professor at Princeton University, where his interests include information and signal processing, and their applications in wireless networks, energy systems, and related areas. He is a member of U.S. National Academy of Engineering and U.S. National Academy of Sciences, and also a foreign member of the Chinese Academy of Sciences, the Royal Society and other national and international academies. Recent recognition of his work includes the 2017 IEEE Alexander Graham Bell Medal, the 2019 ASEE Benjamin Garver Lamme Award, and honorary doctorates from Syracuse University in 2017 and the University of Waterloo in 2019.

Mérouane Debbah - Huawei

Mérouane Debbah received the M.Sc. and Ph.D. degrees from the Ecole Normale Supérieure Paris-Saclay, France. In 1996, he joined the Ecole Normale Supérieure Paris-Saclay. He was with Motorola Labs, Saclay, France, from 1999 to 2002, and also with the Vienna Research Center for Telecommunications, Vienna, Austria, until 2003. From 2003 to 2007, he was an Assistant Professor with the Mobile Communications Department, Institut Eurecom, Sophia Antipolis, France. From 2007 to 2014, he was the Director of the Alcatel-Lucent Chair on Flexible Radio. Since 2007, he has been a Full Professor with CentraleSupelec, Gif-sur-Yvette, France. Since 2014, he has been a Vice-President of the Huawei France Research Center and the Director of the Mathematical and Algorithmic Sciences Lab. He has managed 8 EU projects and more than 24 national and international projects. His research interests lie in fundamental mathematics, algorithms, statistics, information, and communication sciences research. He is an IEEE Fellow, a WWRF Fellow, and a Membre émérite SEE.

Jakob Hoydis - Nokia Bell Labs France

Jakob Hoydis received the diploma degree (Dipl.-Ing.) in electrical engineering and information technology from RWTH Aachen University, Germany, and the Ph.D. degree from Supelec, Gif-sur-Yvette, France, in 2008 and 2012, respectively. He is a member of technical staff at Nokia Bell Labs, France, where he is investigating applications of deep learning for the physical layer. Previous to this position he was co-founder and CTO of the social network SPRAED and worked for Alcatel-Lucent Bell Labs in Stuttgart, Germany. His research interests are in the areas of machine learning, cloud computing, SDR, large random matrix theory, information theory, signal processing, and their applications to wireless communications. He is a co-author of the textbook "Massive MIMO Networks: Spectral, Energy, and Hardware Efficiency" (2017). He is recipient of the 2018 Marconi Prize Paper Award, the 2015 Leonard G. Abraham Prize, the IEEE WCNC 2014 best paper award, the 2013 VDE ITG Forderpreis, and the 2012 Publication Prize of the Supélec Foundation. He has received the 2018 Nokia AI Innovation Award and has been nominated as an Exemplary Reviewer 2012 for the IEEE Communication Letters. He is currently chair of the IEEE COMSOC Emerging Technology Initiative on Machine Learning for Communications as well as editor for IEEE Transactions on Wireless Communications.

Slawomir Stanczak - Fraunhofer Heinrich Hertz Institute and Technical University of Berlin

Slawomir Stanczak studied electrical engineering with specialization in control theory at the Wroclaw University of Technology and at the Technical University of Berlin (TU Berlin). He received the Dipl.-Ing. degree in 1998 and the Dr.-Ing. degree (summa cum laude) in electrical engineering in 2003, both from TU Berlin; the Habilitation degree (venialegendi) followed in 2006. Since 2015, he has been a Full Professor for network information theory with TU Berlin and the head of the Wireless Communications and Networks department. Prof. Stanczak is a co-author of two books and more than 200 peer-reviewed journal articles and conference papers in the area of information theory, wireless communications, signal processing and machine learning.He served as an Associate Editor of the IEEE Transactions on Signal Processing between 2012 and 2015. Since February 2018 Prof. Stanczak has been the chairman of the ITU-T focus group on machine learning for future networks including 5G.

Renato Cavalcante - Fraunhofer Heinrich Hertz Institute and Technical University of Berlin

Renato Luis Garrido Cavalcante received the electronics engineering degree from the Instituto Tecnologico de Aeronautica (ITA), Brazil, in 2002, and the M.E. and Ph.D. degrees in Communications and Integrated Systems from the Tokyo Institute of Technology, Japan, in 2006 and 2008, respectively. From April 2003 to April 2008, he was a recipient of the Japanese Government (MEXT) Scholarship. He is currently a Research Fellow with the Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute, Berlin, Germany, and a lecturer at the Technical University of Berlin. Previously, he held appointments as a Research Fellow with the University of Southampton, Southampton, U.K., and as a Research Associate with the University of Edinburgh, Edinburgh, U.K. Dr. Cavalcante received the Excellent Paper Award from the IEICE in 2006 and the IEEE Signal Processing Society (Japan Chapter) Student Paper Award in 2008. He also co-authored a study that received a best student paper award at the 13th IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC) in 2012. His current interests are in signal processing for distributed systems, multiagent systems, convex analysis, machine learning, and wireless communications.

Christophe Moy - University Rennes 1 and IETR laboratory of CNRS

Christophe MOY received the engineer degree of the INSA (National Institute of Applied Sciences), Rennes, France, in 1995. He received his M.Sc. and Ph.D. degrees in Electronics in 1995 and 1999 from the INSA, and his HDR (Habilitation a Diriger des Recherches) from University of Rennes1 in 2008. Between 1999 and 2005, he worked with Mitsubishi Electric ITE-TCL European research lab where he was focusing on Software Radio systems and concepts. Between 2005 and 2017, he was a Professor with Supelec, and CentraleSupelec (since January 2015). Since 2017, he has been a Professor with University of Rennes 1. Since 2005, he has been with IETR laboratory of CNRS (UMR 6164): Institue of Electronics and Telecommunications of Rennes. His research targets radio communications systems and digital electronics design for flexible, autonomous and highly intensive computing systems, to sum-up software radio and cognitive radio. Recently, he has been addressing in particular decision making and learning for cognitive radio equipments and systems for dynamic spectrum access and cognitive management. Applications domains of his research are Internet of Things, mobile phones, smart grids, drones, etc. He has been participating in many collaborative projects in these fields at French and European levels. He is also a member of Labex CominLabs and Institute of Research and Technology b<>com.

Emil Matus - TU Dresden Vodafone Chair for Mobile Communications Systems

Senior scientist and head of hardware research group at Vodafone Chair Mobile Communication Systems of Technische Universität Dresden. He received his MS and PhD degrees in Electrical Engineering from University of Technology in Kosice. His research includes dataflow application models and signal processing many-core architectures for mobile communications systems employing dynamic resource management.

Lilian Besson - CentraleSupélec and IETR laboratory of CNRS

Lilian Besson is a trained mathematician and computer scientist, and a graduate of the M.Sc. Mathématiques Vision Apprentissage (MVA) in 2016, from Ecole Normale Supérieure de Cachan (now ENS de Paris-Saclay), France. He his finishing his Ph.D. at CentraleSupélec in Rennes under the supervision of Prof. Christophe Moy, and at Inria in Lille, France, under Dr. Émilie Kaufmann. He is a passionate programmer, enthusiast about open-source and his research focus on machine learning, learning theory and cognitive radio. His PhD studies the possible gain in terms of radio collision mitigation thanks to multi-players multi-arms bandits models applied on the devices' side in Internet-of-Things networks. Lilian is the lead author of the SMPyBandits library (https://smpybandits.github.io/). He will join Ecole Normale Supérieure de Rennes (ENS de Rennes) as an assistant professor in 2019.

Bartlomiej Blaszczyszyn - Inria/ENS Paris

.Bartlomiej Blaszczyszyn is a Senior Researcher at Inria, France, and an adjunct Professor at Ecole Normale Supérieure in Paris. His professional interests are in stochastic modeling and performance evaluation of communication networks. He has co-authored several publications and two books on this subject.

Antoine Brochard - Huawei R&D and Inria/ENS Paris

Antoine Brochard completed his MSc at Université Pierre et Marie Curie. His is currently a PhD student at Inria/Huawei working on machine learning techniques for stochastic geometry under the supervision of B. Blaszczyszyn.