Romain Couillet received his MSc in Mobile Communications at the Eurecom Institute and his MSc in Communication Systems in Telecom ParisTech, France in 2007. From 2007 to 2010, he worked with ST-Ericsson as an Algorithm Development Engineer on the Long Term Evolution Advanced project, where he prepared his PhD with Supelec, France, which he graduated in November 2010. He is currently a full professor in the Telecommunication department of CENTRALE-SUPÉLEC, France. His research topics are in machine learning, signal processing, complex systems and random matrix theory. 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.
Mérouane Debbah entered the Ecole Normale Supérieure de Cachan (France) in 1996 where he received his M.Sc and Ph.D. degrees respectively. He worked for Motorola Labs (Saclay, France) from 1999-2002 and the Vienna Research Center for Telecommunications (Vienna, Austria) until 2003. From 2003 to 2007, he joined the Mobile Communications department of the Institut Eurecom (Sophia Antipolis, France) as an Assistant Professor. Since 2007, he is a Full Professor at CentraleSupelec (Gif-sur-Yvette, France). From 2007 to 2014, he was the director of the Alcatel-Lucent Chair on Flexible Radio. Since 2014, he is Vice-President of the Huawei France R&D center and director of the Mathematical and Algorithmic Sciences Lab. His research interests lie in fundamental mathematics, algorithms, statistics, information & communication sciences research. He is an Associate Editor in Chief of the journal Random Matrix: Theory and Applications and was an associate and senior area editor for IEEE Transactions on Signal Processing respectively in 2011-2013 and 2013-2014. Mérouane Debbah is a recipient of the ERC grant MORE (Advanced Mathematical Tools for Complex Network Engineering). He is a IEEE Fellow, a WWRF Fellow and a member of the academic senate of Paris-Saclay. He has managed 8 EU projects and more than 24 national and international projects. He received 17 best paper awards, among which the 2007 IEEE GLOBECOM best paper award, the Wi-Opt 2009 best paper award, the 2010 Newcom++ best paper award, the WUN CogCom Best Paper 2012 and 2013 Award, the 2014 WCNC best paper award, the 2015 ICC best paper award, the 2015 IEEE Communications Society Leonard G. Abraham Prize, the 2015 IEEE Communications Society Fred W. Ellersick Prize, the 2016 IEEE Communications Society Best Tutorial paper award, the 2016 European Wireless Best Paper Award and the 2017 Eurasip Best Paper Award as well as the Valuetools 2007, Valuetools 2008, CrownCom2009, Valuetools 2012 and SAM 2014 best student paper awards. He is the recipient of the Mario Boella award in 2005, the IEEE Glavieux Prize Award in 2011 and the Qualcomm Innovation Prize Award in 2012. He is the co-founder of Ximinds and Ulanta.
Luca Sanguinetti received the Laurea Telecommunications Engineer degree (cum laude) and the Ph.D. degree in information engineering from the University of Pisa, Italy, in 2002 and 2005, respectively. Since 2005 he has been with the Dipartimento di Ingegneria dell’Informazione of the University of Pisa. In 2004, he was a visiting Ph.D. student at the German Aerospace Center (DLR), Oberpfaffenhofen, Germany. During the period June 2007 - June 2008, he was a postdoctoral associate in the Dept. Electrical Engineering at Princeton. During the period June 2010 - Sept. 2010, he was selected for a research assistantship at the Technische Universitat Munchen. From July 2013 to July 2015 he was with the Alcatel-Lucent Chair on Flexible Radio, Supelec, Gif-sur-Yvette, France. Dr. Sanguinetti is currently serving as an Associate Editor for the IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, IEEE SIGNAL PROCESSING LETTERS and IEEE JOURNAL ON SELECTED AREAS OF COMMUNICATIONS (series on Green Communications and Networking) and he serves as Lead Guest Editor of IEEE JOURNAL ON SELECTED AREAS OF COMMUNICATIONS 2016 Special Issue on ”Game Theory for Networks”. Dr. Sanguinetti served as Exhibit Chair of the 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) and as the general co-chair of the 2016 Tyrrhenian Workshop on 5G&Beyond.His expertise and general interests span the areas of communications and signal processing, game theory and random matrix theory for wireless communications. He was the co-recipient of two best paper awards: IEEE Wireless Commun. and Networking Conference (WCNC) 2013 and IEEE Wireless Commun. and Networking Conference (WCNC) 2014. He is also the recipient of the FP7 Marie Curie IEF 2013 “Dense deployments for green cellular networks”. Dr. Sanguinetti is an Senior IEEE Member.
Alessio Zappone received his Master degree in Telecommunication Engineering and his and Ph.D. degree in Electrical and Information Engineering from the University of Cassino and Southern Lazio, Cassino, Italy, in 2007 and 2011, respectively. In 2009 he spent a semester at the Technische Universitaet Dresden, Dresden, Germany, as a visiting Ph.D. student. In 2011/2012 he worked with Consorzio Nazionale Interuniversitario per le Telecomunicazioni (CNIT), in the framework of the EU FP7 project TREND. From 2012 to 2016 he has been the principal investigator of the project CEMRIN, carried out at the Chair of Communication Theory of the Technische Universitaet Dresden, and funded by the German Research Foundation (DFG). In 2014 he was the recipient of a Newcom# mobility grant. In 2017 he has been the recipient of the Marie Curie Individual Fellowship grant BESMART, to be carried out at the Large Networks and Systems Group, CentraleSupeléc, Gif-sur-Yvette, France.His research interests lie in the area of communication theory and signal processing, with main focus on optimization techniques for resource allocation and energy efficiency. Alessio serves as associate editor for the IEEE Signal Processing Letters and has served as associate editor for the IEEE Journal on Selected Areas on Communications (Special Issue on Energy-Efficient Techniques for 5G Wireless Communication Systems). He is the first author of the monograph “Energy efficiency in wireless networks via fractional programming theory”, appeared in the 2015 issue of Foundations and Trends in Communications and Information Theory. He is an IEEE Senior Member and a 2017 exemplary reviewer of the IEEE Transactions on Communications.
Ejder Baştuğ is currently a postdoctoral researcher at MIT and CentraleSupélec, working with Muriel Médard and Mérouane Debbah respectively. He obtained his Ph.D. at CentraleSupélec in December 2015, focusing on distributed caching methods in small cell networks. He has been in the executive committee of IEEE WCNC 2014, organizing committee of IEEE BlackSeaCom 2015, technical programme committee of EuCNC 2015, regular TPC member of IEEE conferences, and chair of several international workshops. He is in the organizing committee of one of the two flagship conferences of IEEE Communications Society: IEEE ICC 2017, to be held in Paris. He is a 2016 Exemplary Reviewer of the IEEE Transaction on Communications, representing fewer than 2% of all the reviewers. Moreover, he is the recipient of 2015 of the Supélec Foundation's Best PhD Thesis/Publications Prize, 2016 IEEE Communications Society Best Tutorial Paper Award, 2016 University of Paris-Saclay STIC Doctoral School Best Scientific Contribution Award, Finalist of 2016 Prix Le Monde, and 2017 EURASIP Best Paper Award for the Journal on Wireless Communications and Networking (JWCN). His research interests in the field of information theory, machine learning and wireless communications, with particular focus on functional compression and distributed caching.
Gil Katz was born in Tel Aviv, Israel. He received a B.Sc. in both electrical engineering (honors) and physics (honors) from the Technion in Haifa, Israel. In 2013 Gil submitted his M.Sc. thesis, "On Layered Transmission in Clustered Cooperative Cellular Architectures", also at the Technion. Since September 2013 Gil was pursuing a PhD at Centrale-Supélec, on the subject of "Interactive Communication for Distributed Computing". The focus of the thesis was on problems in distributed Hypothesis Testing, under a variety of different communication constraints. He was supervised by Prof. Mérouane Debbah, Prof. Romain Couillet and Prof. Pablo Piantanida.Key interests: Information Theory, Data Science, Machine Learning
Kenza Hamidouche was born in Algiers, Algeria. She received her engineering diploma in computer science from Ecole nationale Supérieure d'Informatique, Algiers, in 2012. In 2013, she was selected for a scholarship program at the university of Rennes 1, from which she received her Research Master's degree in computer science. She has succssfully defended her Ph.D Thesis in December 2016 at Centrale-Supélec. During here thesis, she worked on the application of game theory for resource allocation in 5G networks under the supervision of Dr. Walid Saad and Prof. Mérouane Debbah. Her research interests include, distibuted caching, spectrum sharing, game theory and machine learning.
Chongwen Huang obtained his B. Sc. degree in 2010 from Nankai University (Tan Jin), and the M.Sc. degree from the University of Electronic Science and Technology of China (UESTC, Chengdu) in 2013. Then, he joined the Institute of Electronics, Chinese Academy of Sciences (IECAS, Beijing) as a research engineer from Jul. 2013. Since Sep. 2015. he started his Ph.D. journey in Singapore University of Technology and Design (SUTD, Singapore) under the supervision of Prof. Yuen Chau. His main research interests are focused on Message Passing Algorithm for detection and estimation in Massive MIMO systems, Millimeter wave communications for 5G, Massive MIMO-NOMA, Multi-user Information theory and Compressed Sensing.
Hafiz TIOMOKO ALI was born in Cotonou, Benin. He received an engineering degree in Telecommunications from Institut des télécommunications d’Oran (Algérie) and a Research master in Advanced Wireless Systems from Ecole Normale Supérieure de Cachan (France) in 2015. He worked during his master thesis on "The performance analysis of spectral community detection algorithms on large random graphs" with Romain COUILLET in the chair LANEAS. He is working since October 2015 on his PHD topic "Random Matrix Theory and Large Dimensional graphs" under the supervision of Romain COUILLET. His research interests are related to machine learning, graph theory and random matrix theory.
Lucie graduated from Ecole Polytechnique (France) in 2015 with a diploma of engineering and from ENSAE (France) in 2016 with a master in statistics and data science. On September 2016, she started to work at INSEE (Institut National de la Statistique et des Etudes Economiques) as project manager at the computer center. Simultaneaously, she started a PhD at Centrale-Supélec under the supervision of Prof. Romain Couillet and Gilles Wainrib, where she works on the application of random matrix theory on deep neural networks for image processing.
Matha Deghel was born in EL Kharnoub, Lebanon. In September 2013, he completed a double degree where he obtained his Engineering diploma from Lebanese University and his Master’s degree from Telecom ParisTech & Paris 6, both in Digital Communication Systems. Since November 2013, he is pursuing a PhD at Supélec, Paris, on the subject of " Stability Region and Feedback Design in Dense Small Cell Networks ". He is supervised by Prof. Mérouane Debbah (Large Networks and Systems Group (LANEAS), Centrale-Supélec) and Dr. Mohamad Assaad (Centrale-Supélec).
Meysam Sadeghi received his Bachelor degree in Electrical Engineering from Shiraz University of Technology in 2009. In 2011 he received his Master degree in communication systems from K.N.Toosi University of Technology. From 2011 to 2012, he was working as core network manager in wireless department of ZTE. In 2013 he joined Singapore University of Technology and Design where he is working toward his Ph.D. His research interest is focused on application of statistics, optimization and random matrix theory in wireless communication systems with special emphasis on Massive MIMO system.
Philippe Ezran graduated from the Ecole Polytechnique, France, in 1987 and from Télécom ParisTech, France, in 1989. He worked for France Télécom R&D, Paris, France, from 1989 to 2000 and for Crédit Agricole, Paris, France, from 2000 to 2010. In 2011-2012, he worked for Brightsource Industries, Jerusalem, Israel. He is currently pursuing his PhD degree at Centrale-Supélec on “Optimization of Microwave Backhaul Links within the Framework of Software Defined Networking”. His thesis advisor is Prof. Mérouane Debbah and his co-advisor is Dr. Yoram Haddad.
Xiaoyi Mai was born in China. She graduated from BUAA in 2014, then came to France and became a student at Supelec on a double degrees program at the same year. As part of her education program, she is currently doing her PhD at the LANEAS group, working on the application of random matrix on semi-supervised learning, under the supervision of Prof. Romain Couillet.
Zhenyu LIAO is from in China, graduated from HUST, Wuhan and he has been in France for nearly 3 years. He has obtained his bachelor degree and has prepared his master thesis, as an intern at CentraleSupélec, working on "random matrix on machine learning", supervised by Prof. Romain COUILLET. He is now pursuing his PhD topic on the same topic.
Abderrahmane Tchikou was born in Algiers, Algeria. He is a last year student on electrical engineering at Ecole Nationale Polytechnique (ENP) of Algiers. In February 2017, he has started his Master interneship at the Large Networks and Systems Group (LANEAS), CentraleSupélec and the Huawei research Lab FRC under the supervision of Dr. Marco Maso, Dr. Axel Muller, Dr. Kenza Hamidouche and Prof. Mérouane Debbah. His internship is on modeling and analysis of the impact of failures and hardware constraints at SWIPT receiver.
Alessandro Opinto was born in Catania, Italy. He received his Bachelor Degree in Electronic and Communications Engineering in 2014 in University of Parma, Italy. He is pursuing the Master Degree in Communications Engineering (at the same University). He is now an intern at CentraleSupélec, and is also visiting Huawei Mathematical and Algorithmic Sciences Lab in Paris, under the supervisions of Dr. Marco Maso and Prof. Mérouane Debbah.
Imène GHAMNIA is from Oran, Algeria. Currently, she is following a double degree program (engineering and Master) at Institut National des Télécommunications et des TIC (INTTIC), Oran. She is having her Master/engineering internship at the Large Networks and Systems Group (LANEAS), Centrale-Supélec, working on "Analysis and Modelling of Cache-enabled Full-duplex Networks". She is supervised by Marco Maso, Italo Itzeni, Ejder Baştuğ and Mérouane Debbah.
Nicolas Auguin received his Diploma of Engineering from Télécom SudParis, France, in 2014. He also obtained a Master of Philosophy at the Hong Kong University of Science and Technology (HKUST), in the department of Electronic and Computer Engineering. His master thesis focused on machine learning applied to music classification. Since 2014, he has been a PhD student at HKUST, under the supervision of Prof. Matthew McKay. His current research focuses on machine learning and random matrix theory. He is now visiting the Large Networks and Systems Group (LANEAS), at Centrale-Supélec, where he is advised by Prof. Romain Couillet.