Team
Senior Researchers
Senior Researcher
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.
Senior Researcher
Mérouane Debbah (S’01–M’04–SM’08–F’15) received the M.Sc. and Ph.D. degrees from the Ecole Normale Supérieure Paris-Saclay, France. 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. In 2007, he was appointed 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 has been Vice-President of the Huawei France Research Center. He is jointly the director of the Mathematical and Algorithmic Sciences Lab as well as the director of the Lagrange Mathematical and Computing Research Center. 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. He was a recipient of the ERC Grant MORE (Advanced Mathematical Tools for Complex Network Engineering) from 2012 to 2017. He was a recipient of the Mario Boella Award in 2005, the IEEE Glavieux Prize Award in 2011, the Qualcomm Innovation Prize Award in 2012 and the 2019 IEEE Radio Communications Committee Technical Recognition Award. He received more than 20 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, the 2017 Eurasip Best Paper Award, the 2018 IEEE Marconi Prize Paper Award, the 2019 IEEE Communications Society Young Author Best Paper Award and the Valuetools 2007, Valuetools 2008, CrownCom 2009, Valuetools 2012, SAM 2014, and 2017 IEEE Sweden VT-COM-IT Joint Chapter best student paper awards. He is an Associate Editor-in-Chief of the journal Random Matrix: Theory and Applications. He was an Associate Area Editor and Senior Area Editor of the IEEE TRANSACTIONS ON SIGNAL PROCESSING from 2011 to 2013 and from 2013 to 2014, respectively. From 2021 to 2022, he serves as an IEEE Signal Processing Society Distinguished Industry Speaker. He is the co-founder of Ximinds and Ulanta.
Senior Researcher
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.
Senior Researcher
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.
Post Doctoral Researchers
PostDoc
Arun Kadavankandy is currently a postdoctoral researcher at CentraleSupélec, working with Romain Couillet. He obtained his Ph.D. at Inria Sophia Antipolis in July 2017, on the topic of 'Spectral analysis of random graphs with application to clustering and sampling' under the supervision of Konstantin Avrachenkov, Inria Sophia Antipolis and Laura Cottatellucci, Eurecom. He was an invited researcher at Moscow Institute of Physics and Technology and Yandex, Moscow in March 2017. His tutorial titled 'Clustering and Classification on Graphs' was accepted for presentation at the IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, 2017. His research interests include graph-based machine learning, random graph analysis, random matrix theory and distributed algorithms.
PostDoc
Mohit Sharma received the Ph.D. degree from Indian Institute of Science, Bangalore, India, in 2018. In his thesis, he studied the design of communication systems using energy harvesting transmitters and receivers. He is currently working as a research associate at the Indian Institute of Science, Bangalore, since August 2017. He was a visiting research fellow at the Telecom ParisTech, Paris, during May 2017- June 2017. His current research interests include optimization, learning theory, Markov decision processes, and their applications to the design of next generation wireless communication systems.
PhD Researchers
PhD Researcher
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.
PhD Researcher
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 Professor Romain COUILLET. He was visiting Professor Alfred Hero at the Electrical Engineering and Computer Science department of Michigan University from March 2017 to July 2017, working on statistical inference methods applied to biological data. His research interests are related to machine learning, graph theory, statistical inference and random matrix theory.
PhD Researcher
Irched chafaa was born in Tizi Ouzou, Algeria. In 2016, he received both the Engineering Diploma and the MSc degree in wireless communications. Since September 2017, he has been a PhD student at ETIS (UMR 8051) and L2S (UMR 8506) laboratories working on resource allocation policies in mmWave networks using tools from the machine learning framework (multi-armed bandits, deep learning). The main objective of the thesis is to propose online policies that take into account the mobility of the users and the dynamic changes of the mmWave channel. He is jointly advised by E. Veronica Belmega (MCF/HDR, ETIS) and Prof. Mérouane Debbah (official director, Huawei, France).
PhD Researcher
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.
PhD Researcher
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.
PhD Researcher
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.