Title: How to achieve massive MIMO gains in FDD systems
Giuseppe Caire was born in Torino, Italy, in 1965. He received the B.Sc. in Electrical Engineering from Politecnico di Torino in 1990, the M.Sc. in Electrical Engineering from Princeton University in 1992 and the Ph.D. from Politecnico di Torino in 1994. He is currently an Alexander von Humboldt Professor with the Electrical Engineering and Computer Science Department of the Technical University of Berlin, Germany. He has served as Associate Editor for the IEEE Transactions on Communications and as Associate Editor for the IEEE Transactions on Information Theory. He received the Jack Neubauer Best System Paper Award from the IEEE Vehicular Technology Society in 2003, the IEEE Communications Society & Information Theory Society Joint Paper Award in 2004 and in 2011, the Okawa Research Award in 2006, the Alexander von Humboldt Professorship in 2014, and the Vodafone Innovation Prize in 2015. Giuseppe Caire is a Fellow of IEEE since 2005. He has served in the Board of Governors of the IEEE Information Theory Society from 2004 to 2007, and as officer from 2008 to 2013. He was President of the IEEE Information Theory Society in 2011. His main research interests are in the field of communications theory, information theory, channel and source coding, with particular focus on wireless communications.
Title: Understanding channel dynamics in millimeter wave cellular
Sundeep Rangan received the B.A.Sc. from the University of Waterloo, Canada and the M.Sc. and Ph.D. degrees from the University of California, Berkeley, all in Electrical Engineering. In 2000, he co-founded (with four others) Flarion Technologies, a spin-off of Bell Labs that developed Flash OFDM, one of the first cellular OFDM data systems and pre-cursor to 4G systems including LTE and WiMAX. In 2006, Flarion was acquired by Qualcomm Technologies where Dr. Rangan was a Director of Engineering involved in OFDM infrastructure products. He joined the ECE department at NYU Tandon (formerly NYU Polytechnic) in 2010. He is a Fellow of the IEEE and Director of NYU WIRELESS, an academic-industry research center researching next-generation wireless systems. His research interests are in wireless communications, signal processing, information theory and control theory.
Title: Network inference and its application to the estimation of crowd dynamics from IoT sensors
Anna Scaglione is currently a professor in electrical and computer engineering at Arizona State University. Dr. Scaglione’s expertise is in the broad area of statistical signal processing for communications, electric power systems and networks. Her current research focuses on studying and enabling decentralized learning and signal processing in networks of sensors. Dr. Scaglione is a fellow of IEEE. She served in the IEEE in many capacities, including as Associate Editor for the IEEE Transactions on Wireless Communications and on Signal Processing and Editor in Chief of the IEEE Signal Processing Letters. She was member of the Signal Processing Society Board of Governors from 2011 to 2014. She received the 2000 IEEE Signal Processing Transactions Best Paper Award and more recently she was honored for the 2013 IEEE Donald G. Fink Prize Paper Award for the best review paper in that year in the IEEE publications. Her work with her student (Lin Li) earned the 2013 IEEE Signal Processing Society Young Author Best Paper Award.
Title: Number-theoretic well-rounded lattices for physical layer security
Camilla Hollanti received the M.Sc. and Ph.D. degrees from the University of Turku, Finland, in 2003 and 2009, respectively, both in pure mathematics. Since 2011, she has been with the Department of Mathematics and Systems Analysis at Aalto University, Finland, where she currently works as Associate Professor and leads a research group in Algebra, Number Theory, and Applications. She is also affiliated with the Institute of Advanced Studies at the Technical University of Munich, where she holds a 3-year Hans Fischer Fellowship. Dr. Hollanti is an editor of the AIMS Journal on Advances in Mathematics of Communications. She is a recipient of several grants, including five Academy of Finland grants in 2010-2016. In 2014, she received the World Cultural Council Special Recognition Award for young researchers, and in 2017 the Finnish Academy of Science and Letters awarded her the Väisälä Prize in Mathematics. Her research interests lie within applications of algebraic number theory to wireless communications and physical layer security, as well as in combinatorial and coding theoretic methods related to distributed storage systems.
Title: Foundation of physical layer security for message transmission and storage
Holger Boche received the Dipl.-Ing. and Dr.-Ing. degrees in electrical engineering from the Technische Universität Dresden, Dresden, Germany, in 1990 and 1994, respectively. He graduated in mathematics from the Technische Universität Dresden in 1992. He received his Dr. rer. nat. degree in pure mathematics from the Technische Universität Berlin, Berlin, Germany, in 1998. Since October 2010 he has been with the Institute of Theoretical Information Technology and Full Professor at the Technische Universität München (TUM), Munich, Germany. Since 2014 he has been a member and honorary fellow of the TUM Institute for Advanced Study, Munich, Germany. Prof. Boche is a Member of the IEEE Signal Processing Society SPCOM and SPTM Technical Committees and a fellow of the IEEE. He was elected a Member of the German Academy of Sciences (Leopoldina) in 2008 and of the Berlin Brandenburg Academy of Sciences and Humanities in 2009. He received the Research Award “Technische Kommunikation” from the Alcatel SEL Foundation in October 2003, the ”Innovation Award” from the Vodafone Foundation in June 2006, and the Gottfried Wilhelm Leibniz Prize from the Deutsche Forschungsgemeinschaft (German Research Foundation) in 2008. He was co-recipient of the 2006 IEEE Signal Processing Society Best Paper Award and recipient of the 2007 IEEE Signal Processing Society Best Paper Award. He was the General Chair of the Symposium on Information Theoretic Approaches to Security and Privacy at IEEE GlobalSIP 2016. Among his publications is the recent book Information Theoretic Security and Privacy of Information Systems (Cambridge University Press).
Title: Adversarial machine learning: The case of optimal attack strategies against recommendation systems
Negar Kiyavash is Willett Faculty Scholar at the University of Illinois and a joint Associate Professor of Industrial and Enterprise Engineering and Electrical and Computer Engineering. She is also affiliated with the Coordinated Science Laboratory (CSL) and the Information Trust Institute. She received her Ph.D. degree in electrical and computer engineering from the University of Illinois at Urbana-Champaign in 2006. Her research interests are in design and analysis of algorithms for network inference and security. She is a recipient of NSF CAREER and AFOSR YIP awards and the Illinois College of Engineering Dean's Award for Excellence in Research.
Title: Online learning adaptive to dynamic and adversarial environments
Georgios B. Giannakis received his Diploma in Electrical Engineering from the National Technical University of Athens, Greece, 1981. From 1982 to 1986 he was with the Univ. of Southern California (USC), where he received his MSc. in Electrical Engineering, 1983, MSc. in Mathematics, 1986, and Ph.D. in Electrical Engineering, 1986. He was with the University of Virginia from 1987 to 1998, and since 1999 he has been a professor with the Univ. of Minnesota, where he holds an Endowed Chair in Wireless Telecommunications, a University of Minnesota McKnight Presidential Chair in ECE, and serves as director of the Digital Technology Center. His general interests span the areas of communications, networking and statistical signal processing. His current research focuses on learning from Big Data, wireless cognitive radios, and network science with applications to social, brain, and power networks with renewables. He is the (co-) inventor of 32 patents issued, and the (co-) recipient of 9 best paper awards from the IEEE Signal Processing (SP) and Communications Societies, including the G. Marconi Prize Paper Award in Wireless Communications. He also received Technical Achievement Awards from the SP Society (2000), from EURASIP (2005), a Young Faculty Teaching Award, the G. W. Taylor Award for Distinguished Research from the University of Minnesota, and the IEEE Fourier Technical Field Award (2015). He is a Fellow of the IEEE and the EURASIP, and has served the IEEE in a number of posts, including that of a Distinguished Lecturer for the IEEE-SP Society.
Title: Multi-layered networks
Alfred O. Hero III is the John H. Holland Distinguished University Professor of Electrical Engineering and Computer Science and the R. Jamison and Betty Williams Professor of Engineering at the University of Michigan, Ann Arbor. He is also the Co-Director of the University's Michigan Institute for Data Science (MIDAS). His primary appointment is in the Department of Electrical Engineering and Computer Science and he also has appointments, by courtesy, in the Department of Biomedical Engineering and the Department of Statistics. He received the B.S. (summa cum laude) from Boston University (1980) and the Ph.D from Princeton University (1984), both in Electrical Engineering. He is a Fellow of the IEEE. He has served as President of the IEEE Signal Processing (SP) Society and as a member of the IEEE Board of Directors. He has received numerous awards for his scientific research and service to the profession including several best paper awards, the IEEE SP Society Technical Achievement Award in 2013 and the 2015 Society Award, which is the highest career award bestowed by the IEEE SP Society. He received a Rackham Distinguished Faculty Achievement Award in 2011 and the 2017 Stephen S. Attwood Excellence in Engineering Award, from the University of Michigan. Alfred Hero's recent research interests are in high dimensional spatio-temporal data, multi-modal data integration, statistical signal processing, and machine learning. Of particular interest are applications to social networks, network security and forensics, computer vision, and personalized health.
Title: Taming inverse problems with deep learning architectures
Miguel Rodrigues is a Reader in Information Theory and Processing with the Department of Electronic and Electrical Engineering, University College London, UK. He obtained his Licenciatura degree in Electrical and Computer Engineering from the University of Porto, Portugal and the Ph.D. in Electronic and Electrical Engineering from University College London, UK. Dr. Rodrigues’ most relevant contributions have ranged from the information-theoretic analysis and design of communications systems, information-theoretic security, information-theoretic analysis and design of sensing systems, and, more recently, foundations of machine learning and deep learning problems. His work has also been honored with the IEEE Communications and Information Theory Societies Joint Paper Award 2011. Dr. Rodrigues is currently Co-Chairing the Conference on "Mathematics of Data: Structured Representations for Sensing, Approximation, and Learning" organized under the auspices of the Isaac Newton Institute for Mathematical Sciences programme on "Approximation, Sampling and Compression in Data Science". He serves as Associate Editor for the IEEE Communications Letters and he is co-editing (with Y. C. Eldar) a book on Information-Theoretic Methods in Data Science to be published by Cambridge University Press. Dr. Rodrigues has received the Prize Eng. Antonio de Almeida, Prize Eng. Cristiano Spratley, the Merit Prize from the University of Porto, Portugal, and fellowships from the Portuguese Foundation for Science and Technology as well as the Foundation Calouste Gulbenkian.
Title: Deep tree models for 'big' biological data
Ioannis Kontoyiannis received the B.Sc. degree in mathematics in 1992 from Imperial College London, UK, and in 1993 he obtained a distinction in Part III of the Cambridge University Pure Mathematics Tripos. In 1997 he received the M.S. degree in statistics and in 1998 the Ph.D. degree in electrical engineering, both from Stanford University. Since 2005 he has been with the Department of Informatics of the Athens University of Economics and Business, where he is currently a Professor. In January 2018 he joined the Information Engineering Division of the University of Cambridge, as Professor of Information and Communications. He has received a number of distinctions including the Manning endowed assistant professorship, a Sloan Foundation Research Fellowship, an honorary Master of Arts Degree Ad Eundem by Brown University, and a two-year Marie Curie Fellowship. He is a Fellow of the IEEE. He has served on the editorial board of the American Mathematical Society's Quarterly of Applied Mathematics journal, the IEEE Transactions on Information Theory, Springer-Verlag's Acta Applicandae Mathematicae, Springer-Verlag’s Lecture Notes in Mathematics book series, and the online journal Entropy. He also served a short term as Editor-in-Chief of the IEEE Transactions on Information Theory. His research interests include data compression, applied probability, information theory, statistics, and mathematical biology.
Title: Experimental molecular communication testbed based on magnetic nanoparticles in duct flow
Robert Schober received the Diplom (Univ.) and the Ph.D. degrees in electrical engineering from the Friedrich-Alexander-University of Erlangen-Nuremberg (FAU), Germany, in 1997 and 2000, respectively. Since January 2012 he is an Alexander von Humboldt Professor and the Chair for Digital Communication at FAU. Dr. Schober received several awards for his work including the 2002 Heinz Maier–Leibnitz Award of the German Science Foundation (DFG), the 2004 Innovations Award of the Vodafone Foundation for Research in Mobile Communications, the 2006 UBC Killam Research Prize, the 2007 Wilhelm Friedrich Bessel Research Award of the Alexander von Humboldt Foundation, the 2008 Charles McDowell Award for Excellence in Research from UBC, a 2011 Alexander von Humboldt Professorship, a 2012 NSERC E.W.R. Stacie Fellowship, and a 2017 Wireless Communications Recognition Award. Furthermore, he has been listed as a 2017 Highly Cited Researcher by Clarivate Analytics. He is a Fellow of the Canadian Academy of Engineering, a Fellow of the Engineering Institute of Canada, and a Fellow of the IEEE. From 2012 to 2015, he served as Editor-in-Chief of the IEEE Transactions on Communications. Currently, he is the Chair of the Steering Committee of the IEEE Transactions on Molecular, Biological and Multiscale Communication and serves on the Editorial Board of the Proceedings of the IEEE. Furthermore, he is a Member at Large of the Board of Governors and a Distinguished Lecturer of the IEEE Communications Society. His research interests fall into the broad areas of Communication Theory, Wireless Communications, and Statistical Signal Processing.
Title: Capacity limits and design principles of molecular communication systems
Andrea Goldsmith is the Stephen Harris professor in the School of Engineering and a professor of Electrical Engineering at Stanford University. She co-founded and served as Chief Technical Officer of Plume WiFi and of Quantenna (QTNA) and she currently serves on the Corporate or Technical Advisory Boards of Crown Castle Inc. (CCI), Interdigital Corp. (IDCC), Sequans (SQNS), Quantenna (QTNA) and Cohere. She has also held industry positions at Maxim Technologies, Memorylink Corporation, and AT&T Bell Laboratories. Dr. Goldsmith is a member of the National Academy of Engineering and the American Academy of Arts and Sciences, a Fellow of the IEEE and of Stanford, and has received several awards for her work, including the IEEE ComSoc Edwin H. Armstrong Achievement Award as well as Technical Achievement Awards in Communications Theory and in Wireless Communications, the National Academy of Engineering Gilbreth Lecture Award, the IEEE ComSoc and Information Theory Society Joint Paper Award, the IEEE ComSoc Best Tutorial Paper Award, the Alfred P. Sloan Fellowship, the WICE Technical Achievement Award, and the Silicon Valley/San Jose Business Journal’s Women of Influence Award. She is author of the book Wireless Communications and co-author of the books MIMO Wireless Communications and Principles of Cognitive Radio, all published by Cambridge University Press, as well as an inventor on 28 patents. Her research interests are in information theory and communication theory, and their application to wireless communications and related fields. She received the B.S., M.S. and Ph.D. degrees in Electrical Engineering from U.C. Berkeley.