Title: Connected Conviction: new ways of addressing old problems
Speaker: Ian Oppermann, NSW Government Data Analytics Center, Australia.
Speaker Bio: Dr. Ian Oppermann is the NSW Government’s Chief Data Scientist and CEO of the NSW Data Analytics Centre. Ian has 25 years’ experience in the ICT sector. He has held senior management roles in Europe and Australia as Director for Radio Access Performance at Nokia, Global Head of Sales Partnering (network software) at Nokia Siemens Networks, and then Divisional Chief and Flagship Director at CSIRO. Ian is considered a thought leader in the area of the Digital Economy and is a regular speaker on “Big Data”, broadband enabled services and the impact of technology on society. He has contributed to 6 books and co-authored more than 120 papers which have been cited more than 3500 times. Ian has an MBA from the University of London and a Doctor of Philosophy in Mobile Telecommunications from Sydney University. Ian is a Fellow of the Institute of Engineers Australia, a Fellow of the IEEE, a Fellow of the Australian Academy of Technological Sciences and Engineering, is Vice President of the Australian Computer Society, and a graduate member of the Australian Institute of Company Directors. Ian is also president of the Australia National Committee of the IEC and president of the JTC1 strategic advisory committee in Australia.
Title: Spectrum Sharing for IoT Communications: Feasibility and Challenges
Speaker: Marwan Krunz, The University of Arizona, USA.
Speaker Bio: Marwan Krunz is the Kenneth VonBehren Endowed Professor in the Department of ECE at the University of Arizona. He also holds a joint appointment as a professor of computer science. He co-directs the Broadband Wireless Access and Applications Center, a multi-university industry-focused NSF center that includes 16+ affiliates from industry and government labs. He previously served as the UA site director for Connection One, an NSF IUCRC that focuses on wireless communication circuits and systems. In 2010, Dr. Krunz was a Visiting Chair of Excellence at the University of Carlos III de Madrid. He previously held various visiting research positions at University Technology Sydney, INRIA-Sophia Antipolis, HP Labs, University of Paris VI, University of Paris V, University of Jordan, and US West Advanced Technologies. Dr. Krunz’s research interests lie in the areas of wireless communications and networking, with emphasis on resource management, adaptive protocols, and security issues. He has published more than 250 journal articles and peer-reviewed conference papers, and is a co-inventor on several US patents. He is an IEEE Fellow, an Arizona Engineering Faculty Fellow (2011-2014), and an IEEE Communications Society Distinguished Lecturer (2013 and 2014). He was the recipient of the 2012 IEEE TCCC Outstanding Service Award. He received the NSF CAREER award in 1998. He currently serves as the Editor-in-Chief for the IEEE Transactions on Mobile Computing (TMC). He also serves on the editorial board for the IEEE Transactions on Cognitive Communications and Networks. Previously, he served on the editorial boards for IEEE/ACM Transactions on Networking, IEEE TMC, IEEE Transactions on Network and Service Management, Computer Communications Journal, and IEEE Communications Interactive Magazine. He was the general vice-chair for WiOpt 2016 and general co-chair for WiSec’12. He was the TPC chair for WCNC 2016 (Networking Track), INFOCOM’04, SECON’05, WoWMoM’06, and Hot Interconnects 9. He has served and continues to serve on the steering and advisory committees of numerous conferences and on the panels of several funding agencies. He was a keynote speaker, an invited panelist, and a tutorial presenter at numerous international conferences. See http://www2.engr.arizona.edu/~krunz/ for more details.
Title: Adaptive Sketching and Validation for Learning from Big Data
Speaker: Georgios B. Giannakis, University of Minnesota, USA.
Abstract: We live in an era of data deluge. Pervasive sensors collect massive amounts of information on every bit of our lives, churning out enormous streams of raw data in various formats. Mining information from unprecedented volumes of data promises to limit the spread of epidemics and diseases, identify trends in financial markets, learn the dynamics of emergent social-computational systems, and also protect critical infrastructure including the smart grid and the Internet’s backbone network. While Big Data can be definitely perceived as a big blessing, big challenges also arise with large-scale datasets. This talk will put forth novel algorithms and present analysis of their performance in extracting computationally affordable yet informative subsets of massive datasets. Extraction will effected through innovative tools, namely adaptive censoring, random subset sampling (a.k.a. sketching), and validation. The impact of these tools will be demonstrated in machine learning tasks as fundamental as (non)linear regression, classification, and clustering of high-dimensional, large-scale, and dynamic datasets.
Speaker Bio: Georgios B. Giannakis (Fellow’97) received his Diploma in Electrical Engr. from the Ntl. Tech. Univ. 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 Engr., 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 a 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 – subjects on which he has published more than 400 journal papers, 700 conference papers, 25 book chapters, two edited books and two research monographs (h-index 124). Current research focuses on big data analytics, wireless cognitive radios, network science with applications to social, brain, and power networks with renewables. He is the (co-) inventor of 30 patents issued, and the (co-) recipient of 8 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 inaugural IEEE Fourier Technical Field Award (2015). He is a Fellow of EURASIP, and has served the IEEE in a number of posts including that of a Distinguished Lecturer for the IEEE-SP Society.
Title: An Innovative CMOS Transceiver Chip with A New Solution of Antenna in Package (AiP) for Millimeter-wave Wireless Communications
Abstract: A CMOS transceiver chip with innovative impedance matching approach will be introduced. A series of planar aperture antennas for packaging this chip will be also presented. Based on a basic design of linear polarized antenna, several variations, namely, dual polarized antennas, circularly polarized antennas, antenna arrays, and gain enhanced antennas, have been developed for different applications.
Speaker Bio: Qan Xue (M’02–SM’04–F’11) received the B.S., M.S., and Ph.D. degrees in electronic engineering from University of Electronic Science and Technology of China (UESTC), Chengdu, China, in 1988, 1991, and 1993, respectively. In 1993, he joined the UESTC, as a Lecturer. He became a Professor in 1997. From October 1997 to October 1998, he was a Research Associate and then a Research Fellow with the Chinese University of Hong Kong. In 1999, he joined City University of Hong Kong where he is currently a Chair Professor of Microwave Engineering. He also served the University as the Associate Vice President (Innovation Advancement and China Office) (June 2011-Jan 2015), and is now the Director of Information and Communication Technology Center (ICTC center), and the Deputy Director of the State Key Lab of Millimeter Waves (Hong Kong). He has authored or co-authored over 330 internationally referred journal papers and over 130 international conference papers. He is co-inventors of 5 granted Chinese patents and 26 granted US patents (5 of them have been licensed), in addition with 29 filed patents. His research interests include microwave/millimeter-wave/THz passive components, active components, antenna, microwave monolithic integrated circuits (MMIC, and radio frequency integrated circuits (RFIC) etc. Professor Xue is a Fellow of IEEE. He is winner of 2017 H. A. Wheeler Paper Award of IEEE Antenna and Propagation Society. He served the IEEE as an AdCom member of MTT-S (2011-2013) and the Associate Editor of IEEE Transactions on Microwave Theory and Techniques (2010-2013), the Editor of International Journal of Antennas and Propagation (2010-2013), the Associate Editor of IEEE Transactions on Industrial Electronics (2010-2015). He is now an Associate Editor of IEEE Transactions on Antennas and Propagation (2016-present).