Gerhard Kramer, Technical University of Munich, Germany
Biography: Gerhard Kramer is Senior Vice President for Research and Innovation at the Technical University of Munich (TUM). He joined TUM as Alexander von Humboldt Professor and Chair of Communications Engineering in 2010 after a short stay at the University of Southern California (USC), Los Angeles, CA, from 2009-10. He received the B.Sc. and M.Sc. degrees in electrical engineering from the University of Manitoba in 1991 and 1992, respectively, and the Dr. sc. techn. degree from ETH Zurich in 1998. From 1998 to 2000, he was with Endora Tech AG in Basel, Switzerland, and from 2000 to 2008 he was with the Math Center at Bell Labs in Murray Hill, NJ. His research interests are primarily in information theory and communications theory, with applications to wireless, copper, and optical fiber networks. Gerhard Kramer is an IEEE Fellow and served as the 2013 President of the IEEE Information Theory Society. He is a member of the Bavarian Academy of Sciences and Humanities since 2015.
Helmut Bölcskei, Chair for Mathematical Information Science, ETH Zürich, Switzerland
Biography: Helmut Bölcskei is a Professor of Mathematical Information Science in the Department of Electrical Engineering at ETH Zurich, also associated with the Department of Mathematics. His research interests are in applied mathematics, machine learning theory, mathematical signal processing, data science, and statistics.
Sergio Barbarossa, Senior Research Fellow of Sapienza School for Advanced Studies (SSAS), University of Rome “La Sapienza”
Biography: Sergio Barbarossa received his MS and Ph.D. EE degree from the University of Rome “La Sapienza”, where he is currently a Full Professor and a Senior Research Fellow of Sapienza School for Advanced Studies (SSAS). He has held visiting positions at the Environmental Research Institute of Michigan (’88), Univ. of Virginia (’95, ‘97), and Univ. of Minnesota (’99). He is an IEEE Fellow and a EURASIP Fellow. He served as an IEEE Distinguished Lecturer and received the IEEE Best Paper Awards from the IEEE Signal Processing Society for the years 2000 and 2014. He received the 2010 Technical Achievements Award from the European Association for Signal Processing (EURASIP) society for his contributions on radar, communication and networks. He has been the scientific coordinator of several EU projects on wireless sensor networks, small cell networks, distributed mobile cloud computing and 5G networks. He is currently involved in the EU/Taiwan H2020 project 5G-Conni aimed at enabling Industry 4.0 using private 5G networks. His research interests include 5G networks, mobile edge computing, machine learning and topological signal processing.
H. Vincent Poor, Michael Henry Strater University Professor of Electrical Engineering, Princeton University
Biography: H. Vincent Poor is the Michael Henry Strater University Professor at Princeton University. His interests are in the areas of information theory, signal processing and machine learning, and their applications in wireless networks, energy systems and related fields. He is a member of the U.S. National Academy of Engineering and the U.S. National Academy of Sciences, and is 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, and honorary doctorates from a number of universities in Asia, Europe and North America.