Invited Speakers

Eli Brookner

Raytheon, USA

IEEE Life Fellow



Eli Brookner is a global radar authority known for his contributions to airborne, intelligence, space, air-traffic control and defense mission systems. Among his accomplishments is his leadership in designing advanced airport surveillance radars, making air travel safer. A principal engineering fellow at Raytheon Company’s Integrated Defense Systems, Sudbury, Massachusetts, Dr. Brookner has played a key role in many major radar and phased-array radar systems developed during the past 40 years. His teaching and lecturing have inspired and educated several generations of radar engineers worldwide, over 10,000 have attended his lectures. At Raytheon, he has been a leader or advisor to over 20 major radar programs for civil and defense applications. During these programs he demonstrated exceptional technical leadership, devising less-expensive and better-performing alternatives to products on the market or on the drawing board. From 1972 to 1989, he was the technical lead on virtually all major U.S. Air Force and U.S. Navy space-based radar studies. In 1998, he was the lead system engineer for the Canadian RADARSTAT II solid-state high-resolution system. A year later, he was a key systems engineer for the development of the solid-state Airport Surface Detection Equipment Radar, which observes moving and stationary aircraft and vehicular traffic on airport runways, taxiways and ramps with a high degree of resolution. An IEEE Life Fellow, Dr. Brookner has twice been chairman of the International Symposium on Phased Array Systems and Technology. He is the recipient of the IEEE Aerospace and Electronic Systems Society (AESS) Warren White Award for Excellence in Radar Engineering, an IEEE Centennial Medal and an IEEE Millennium Medal, the IEEE Educational Activities Board Meritorious Achievement Award and is a Distinguished Lecturer for the IEEE AESS.



Frederick E. Daum

Raytheon, USA

IEEE Fellow



Fred Daum is an IEEE Fellow, a principal Fellow at Raytheon, a Distinguished Lecturer for the IEEE and a graduate of Harvard University. Fred was awarded the Tom Phillips prize for technical excellence, in recognition of his ability to make complex radar systems work in the real World. He has published nearly one hundred technical papers, and he has given invited lectures at MIT, Harvard, Yale, Caltech, the Technion, Brown, Georgia Tech., Duke, Univ. of Connecticut, Univ. of Minnesota, Melbourne Univ., Univ. of Toulouse, Univ. of Liverpool, Univ. of New South Wales, Univ. of Canterbury, Univ. of Illinois at Chicago, Washington Univ. at St Louis, McMaster Univ., Boston Univ., Northeastern University, Huntsville, Colorado and Rutgers.



Li Deng,

Microsoft Research, Redmond, USA

IEEE Fellow


Li Deng received the B.S. degree from the University of Science and Technology of China, Hefei, and the Ph.D. degree from the University of Wisconsin-Madison. He joined the Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada, in 1989 as an Assistant Professor where he became a Full Professor with tenure in 1996. From 1992 to 1993, he conducted sabbatical research at the Laboratory for Computer Science, Massachusetts Institute of Technology, Cambridge, and from 1997 to 1998, at ATR Interpreting Telecommunications Research Laboratories, Kyoto, Japan. In 1999, he joined Microsoft Research, Redmond, WA as a Senior Researcher, where he is currently a Principal Researcher. Since 2000, he has also been an Affiliate Professor in the Department of Electrical Engineering, University ofWashington, Seattle, teaching the graduate course ofComputer Speech Processing. His current (and past) research activities include automatic speech and speaker recognition, spoken language identification and understanding, speech-to-speech translation, machine translation, language modeling, statistical methods and machine learning, neural information processing, deep-structured learning, machine intelligence, audio and acoustic signal processing, statistical signal processing and digital communication, human speech production and perception, acoustic phonetics, auditory speech processing, auditory physiology and modeling, noise robust speech processing, speech synthesis and enhancement, multimedia signal processing, and multimodal human–computer interaction. In these areas, he has published over 300 refereed papers in leading journals and conferences, three books, 15 book chapters, and has given keynotes, tutorials, and lectures worldwide. He has been granted over 40 U.S. or international patents in acoustics/audio, speech/language technology, and other fields of signal processing. Dr. Deng is IEEE Fellow and a Fellow of the Acoustical Society of America. He received awards/honors bestowed by IEEE, ISCA, ASA, Microsoft, and other organizations. He serves on the Board of Governors of the IEEE Signal Processing Society (2008–2010), and as Editor-in-Chief for the IEEE Signal ProcessingMagazine (SPM, 2009–2011), which ranks consistently among the top journals with the highest citation impact. He is elected by the International Speech Communication Association (ISCA) as its Distinguished Lecturer in 2010–2011. Read more



Yonina C. Eldar

Technion, Israel

IEEE Fellow



Yonina C. Eldar received the B.Sc. degree in Physics in 1995 and the B.Sc. degree in Electrical Engineering in 1996 both from Tel-Aviv University (TAU), Tel-Aviv, Israel, and the Ph.D. degree in Electrical Engineering and Computer Science in 2002 from the Massachusetts Institute of Technology (MIT), Cambridge. From January 2002 to July 2002 she was a Postdoctoral Fellow at the Digital Signal Processing Group at MIT. She is currently a Professor in the Department of Electrical Engineering at the Technion - Israel Institute of Technology, Haifa, Israel. She is also a Research Affiliate with the Research Laboratory of Electronics at MIT and a Visiting Professor at Stanford University, Stanford, CA.From 2002 to 2005, she was a Horev Fellow of the Leaders in Science and Technology program at the Technion and an Alon Fellow. In 2004, she was awarded the Wolf Foundation Krill Prize for Excellence in Scientific Research, in 2005 the Andre and Bella Meyer Lectureship, in 2007 the Henry Taub Prize for Excellence in Research, in 2008 the Hershel Rich Innovation Award, the Award for Women with Distinguished Contributions, the Muriel & David Jacknow Award for Excellence in Teaching, and the Technion Outstanding Lecture Award, in 2009 the Technion's Award for Excellence in Teaching, in 2010 the Michael Bruno Memorial Award from the Rothschild Foundation, and in 2011 the Weizmann Prize for Exact Sciences. In 2012 she was elected to the Young Israel Academy of Science and to the Israel Committee for Higher Education, and elected an IEEE Fellow. In 2013 she received the Edwards Chair in Engineering, Technion's Award for Excellence in Teaching, the Hershel Rich Innovation Award, and the IEEE Signal Processing Society Technical Achievement Award. She received several best paper awards together with her research students and colleagues. She is a Signal Processing Society Distinguished Lecturer, a member of the IEEE Bio Imaging Signal Processing technical committee, an Editor-in-Chief of Foundations and Trends in Signal Processing, and an Associate Editor for the SIAM Journal on Imaging Sciences. In the past, she was a member of the IEEE Signal Processing Theory and Methods technical committee, and served as an associate editor for the IEEE Transactions On Signal Processing, the EURASIP Journal of Signal Processing, and the SIAM Journal on Matrix Analysis and Applications. Read more



Wen Hong

The Institute of Electronics, Chinese Academy of Sciences, China



Wen Hong had her Ms.and Ph.D. degree thesis work in Northwestern Polytechnical University (NPU) and Beijing University of Aeronautics and Astronautics (BUAA), in 1993 and 1997 respectively. After that till the year of 2002, she served as a faculty staff in the Dept. of E.E., BUAA. In between, she was a guest scientist in the Microwaves and Radar Institute in German Aerospace Center (DLR-HF) in 1998. She joined the Institute of Electronics, Chinese Academy of Sciences(IECAS) since 2002 till now.  As a researcher and a Ph.D. candidate program supervisor in the IECAS, her research interests are Pol/PolinSAR data processing, 3D SAR data acquisition and processing, sparse signal processing in microwave imaging and etc.



Hongbin Li

Stevens Institute of Technology, USA



Hongbin Li received the B.S. and M.S. degrees from the University of Electronic Science and Technology of China, in 1991 and 1994, respectively, and the Ph.D. degree from the University of Florida, Gainesville, FL, in 1999, all in electrical engineering. He joined the Department of Electrical and Computer Engineering, Stevens Institute of Technology, Hoboken, NJ, as an Assistant Professor in July 1999, and has been a Professor since September 2010. Dr. Li's general research interests include statistical signal processing, wireless communications, and radars. He is presently a member of the IEEE SPS Signal Processing Theory and Methods (SPTM) Technical Committee (TC) and a past member of the IEEE SPS Sensor Array and Multichannel (SAM) TC. He has been an Associate Editor for Signal Processing (Elsevier), IEEE Transactions on Wireless Communications, IEEE Signal Processing Letters, IEEE Transactions on Signal Processing, and a Guest Editor for EURASIP Journal on Applied Signal Processing. He served as a General Co-Chair for the 7th IEEE Sensor Array and Multichannel Signal Processing (SAM) Workshop, Hoboken, NJ, June 17-20, 2012. Dr. Li received several awards including the IEEE Jack Neubauer Memorial Award in 2013 for the best systems paper published in the IEEE Transactions on Vehicular Technology. Read more



Weiping Li

University of Science and Technology , China

IEEE Fellow



Weiping Li received his B.S. degree from University of Science and Technology of China (USTC) in 1982 and his M.S. and Ph.D. degrees from Stanford University in 1983 and 1988 respectively, all in electrical engineering. In 1987, he joined the Faculty of Lehigh University as an Assistant Professor in the Department of Electrical Engineering and Computer Science. In 1993, he was promoted to Associate Professor with Tenure. In 1998, he was promoted to Full Professor. From 1998 to 2010, he worked in several high-tech companies in the Silicon Valley with technical and management responsibilities. In March of 2010, he was appointed to the position of the Dean for School of Information Science and Technology in USTC. Weiping Li has been elected to Fellow of IEEE for contributions to image and video coding algorithms, standards, and implementations. He served as the Editor-in-Chief of IEEE Transactions on Circuits and Systems for Video Technology. He served as a Guest Editor for a special issue of IEEE Proceedings. He served as the Chair of several Technical Committees in IEEE Circuits and Systems Society and IEEE International Conferences. He served as the Chair of Best Student Paper Award Committee for SPIE Visual Communications and Image Processing Conference. Weiping Li has made many contributions to International Standards. His inventions on Fine Granularity Scalable Video Coding and Shape Adaptive Wavelet Coding have been included into the MPEG-4 International Standard. He served as a member of MPEG (Moving Picture Experts Group) of ISO (International Standard Organization) and an Editor of MPEG-4 International Standard. He served as a founding member of the Board of Directors of MPEG-4 Industry Forum. As a technical advisor, he also made contributions to the Chinese Audio Video coding Standard (AVS) and its applications. Weiping Li received Certificate of Appreciation from ISO/IEC as a Project Editor in development of International Standard in 2004, the Spira Award for Excellence in Teaching in 1992 at Lehigh University, and the first Guo Mo-Ruo Prize for Outstanding Student in 1980 at USTC.



Lek-heng Lim

University of Chicago, USA



Lek-Heng Lim's research focuses on tensors and their coordinate representations, hypermatrices. He is interested in hypermatrix-equivalent of various matrix notions, their mathematical and computational properties, and their applications to science and engineering. Another area of Lim's interests is applied/computational algebraic and differential geometry, particularly Hodge Laplacians and geometry of subspaces. Lim is also generally interested in numerical linear algebra, optimization, and machine learning. He was educated at Stanford University (PhD), Cambridge University, Cornell University (MS), and the National University of Singapore (BS). Prior to joining the University of Chicago as an assistant professor, he was Charles Morrey assistant professor at the University of California, Berkeley. Lim serves on the editorial boards of "Linear Algebra and its Applications" and "Linear and Multilinear Algebra". His work is supported by an AFOSR Young Investigator Award and an NSF Early Career Award. Read more



Zhiquan Luo

University of Minnesota

IEEE Fellow

SIAM Fellow



Zhi-Quan (Tom) Luo received his PhD Degree in Operations Research from Massachusetts Institute of Technology in 1989. From 1989 to 2003, He held a faculty position in the Department of Electrical and Computer Engineering, McMaster University, Canada and a Canada Research Chair in Information Processing. He moved to Minnesota in April 2003 and have since been a full professor in the Department of Electrical and Computer Engineering, University of Minnesota. Prof. Luo also hold an endowed ADC Chair in Digital Technology. His general research interests include the theory, design and analysis of efficient optimization algorithms with application to data communication, wireless and optical networks and systems, and signal processing. Prof. Luo is especially interested in computation/communication complexity issues arising from these problem areas. This includes both providing theoretical lower bounds on the complexity and designing efficient methods whose complexity closely match the lower bounds. His current research interest lies in the theory of multi-user communications and the application of optimization techniques to the design of multi-antenna communication systems.Read More



Antonio De Maio

University of Naples, Italy

IEEE Fellow



Antonio De Maio received the Dr. Eng. degree (with honors) and thePh.D. degree in information engineering, both fromthe University of Naples Federico II, Naples, Italy, in1998 and 2002, respectively.From October to December 2004, he was a VisitingResearcher with the U.S. Air Force Research Laboratory, Rome, NY. From November to December2007, he was a Visiting Researcher with the ChineseUniversity of Hong Kong, Hong Kong. Currently, heis an Associate Professor with the University of Naples Federico II. His research interest lies in the ?eld of statistical signal processing, with emphasison radar detection, optimization theory applied to radar signal processing, andmultiple-access communications.Dr. De Maio is the recipient of the 2010 IEEE Fred Nathanson MemorialAward as the Young (less than 40 years of age) AESS Radar Engineer 2010whose performance is particularly noteworthy as evidenced by contributions tothe radar art over a period of several years, with the following citation for “robust CFAR detection, knowledge-based radar signalprocessing, and waveformdesign and diversity.” He is an Associate Editor for the IEEE TRANSACTIONSON SIGNAL PROCESSING.



Arye Nehorai

Washington University in St.Louis, USA

IEEE Fellow



Arye Nehorai, (S'80--M'83--SM'90--F'94) is the Eugene and Martha Lohman Professor and Chair of the Preston M. Green Department of Electrical and Systems Engineering (ESE), Professor in the Department of Biomedical Engineering (by courtesy) and in the Division of Biology and Biomedical Studies (DBBS) at Washington University in St.Louis (WUSTL). He serves as Director of the Center for Sensor Signal and Information Processing at WUSTL. Under his leadership as department chair, the undergraduate enrollment has more than tripled in the last four years. Earlier, he was a faculty member at Yale University and the University of Illinois at Chicago. He received the B.Sc. and M.Sc. degrees from the Technion, Israel and the Ph.D. from Stanford University, California. Dr. Nehorai served as Editor-in-Chief of the IEEE Transactions on Signal Processingfrom 2000 to 2002. From 2003 to 2005 he was the Vice President (Publications) of the IEEE Signal Processing Society (SPS), the Chair of the Publications Board, and a member of the Executive Committee of this Society. He was the founding editor of the special columns on Leadership Reflections inIEEE Signal Processing Magazine from 2003 to 2006. Dr. Nehorai received the 2006 IEEE SPS Technical Achievement Award and the 2010 IEEE SPS Meritorious Service Award. He was elected Distinguished Lecturer of the IEEE SPS for a term lasting from 2004 to 2005. He received several best paper awards in IEEE journals and conferences. In 2001 he was named University Scholar of the University of Illinois. Dr. Nehorai was the Principal Investigator of the Multidisciplinary University Research Initiative (MURI) project titled Adaptive Waveform Diversity for Full Spectral Dominance from 2005 to 2010. He is a Fellow of the IEEE since 1994, Fellow of the Royal Statistical Society since 1996, and Fellow of AAAS since 2012.



Athina P. Petropulu

Rutgers University, USA

IEEE Fellow



Athina P. Petropulureceived her undergraduate degree from the National Technical University of Athens, Greece, and the M.Sc. and Ph.D. degrees from Northeastern University, Boston MA, all in Electrical and Computer Engineering. Between 1992–2010 she was faculty at the Department of Electrical and Computer Engineering at Drexel University. Since 2010, she is Professor and Chair of the Electrical and Computer Engineering Department at Rutgers, The State University of New Jersey. She has held visiting appointments at SUPELEC in France and at Princeton University. Dr. Petropulu’s research interests span the area of statistical signal processing with applications in wireless communications, networking and radar systems. She is recipient of the 1995 Presidential Faculty Fellow Award in Electrical Engineering given by NSF and the White House. She is the co-author (with C.L. Nikias) of the textbook entitled, “Higher-Order Spectra Analysis: A Nonlinear Signal Processing Framework,” (Englewood Cliffs, NJ: Prentice-Hall, Inc., 1993). Dr. Petropulu is Fellow of IEEE. She has served as Editor-in-Chief of the IEEE TRANSACTIONS ON SIGNAL PROCESSING (2009–2011), IEEE Signal Processing Society Vice President-Conferences (2006–2008), and member-at-large of the IEEE Signal Processing Board of Governors. She was the General Chair of the 2005 International Conference on Acoustics Speech and Signal Processing (ICASSP-05), Philadelphia PA. She is co-recipient of the 2005 IEEE Signal Processing Magazine Best Paper Award, and the 2012 Meritorious Service Award from the IEEE Signal Processing Society. Read more



Branko Ristic

DSTO, Australia



Branko Ristic has been involved in R&D projects related to signal processing, estimation, tracking and data fusion for more than 20 years. Dr. Ristic received all of his degrees in electrical engineering: PhD from QUT 1995, M.Sc. Belgrade University 1991, B.Eng. University of Novi Sad 1984. Since 1996, he has been with DSTO, where his role has been to lead, coordinate and participate in research on target tracking and multi-sensor fusion in support of various ADF projects. During his career he has published extensively, and given several invited talks in Europe, USA and Australia. Read more



Pramod Varshney

Syracuse University, USA

IEEE Fellow



Pramod K. Varshney received the B.S. degree in electrical engineering and computer science (with highest honors), and the M.S. and Ph.D. degrees in electrical engineering from the University of Illinois at Urbana-Champaign in 1972, 1974, and 1976 respectively. Since 1976 he has been with Syracuse University, Syracuse, NY where he is currently a Distinguished Professor of Electrical Engineering and Computer Science and the Director of CASE: Center for Advanced Systems and Engineering.  He is also an Adjunct Professor of Radiology at Upstate Medical University in Syracuse, NY. His current research interests are in distributed sensor networks and data fusion, detection and estimation theory, wireless communications, and security. He has published extensively.  He is the author of Distributed Detection and Data Fusion, published by Springer-Verlag in 1997. While at the University of Illinois, Dr. Varshney was a James Scholar, a Bronze Tablet Senior, and a Fellow.  He is a member of Tau Beta Pi and is the recipient of the 1981 ASEE Dow Outstanding Young Faculty Award.  He was elected to the grade of Fellow of the IEEE in 1997 for his contributions in the area of distributed detection and data fusion. He was the guest editor of the special issue on data fusion of the Proceedings of the IEEE, January 1997.  In 2000, he received the Third Millennium Medal from the IEEE and Chancellor's Citation for exceptional academic achievement at Syracuse University. He is the recipient of the IEEE 2012 Judith A. Resnik Award.  He recently served as a distinguished lecturer for the AES society of the IEEE. He is on the editorial board of Journal on Advances in Information Fusion. He was the President of International Society of Information Fusion during 2001.  



Kon Max Wong

McMaster University, Canada

IEEE Life Fellow



Kon Max Wong received the B.Sc.(Eng.), D.I.C., Ph.D., and D.Sc.(Eng.) degrees from the University of London, London, U.K., in 1969, 1972, 1974, and 1995, respectively, all in electrical engineering. In 1969, he joined the Transmission Division, Plessey Telecommunications Research Ltd., Poole, U.K. In October 1970, he was on leave from Plessey pursuing postgraduate studies and research at Imperial College of Science and Technology, London. In 1972, he rejoined Plessey as a Research Engineer and worked on digital signal processing and signal transmission. In 1976, he joined the Department of Electrical Engineering, Technical University of Nova Scotia, Halifax, NS, Canada, and in 1981, he moved to McMaster University, Hamilton, ON, Canada, where he has been a Professor since 1985 and served as the Chairman of the Department of Electrical and Computer Engineering during 1986–1987, 1988–1994, and 2003–2008. He was on leave as a Visiting Professor with the Department of Electronic Engineering, The Chinese University of Hong Kong, Kowloon, Hong Kong, from 1997 to 1999. He currently holds the Canada Research Chair in Signal Processing at McMaster University. He has published more than 240 papers. His research interest is in signal processing and communication theory. Prof. Wong is a Fellow of the Institution of Electrical Engineers, the Royal Statistical Society, the Institute of Physics, the Canadian Academy of Engineering, and the Royal Society of Canada. He was an Associate Editor of the IEEE TRANSACTION ON SIGNAL PROCESSING during 1996–1998 and served as the Chair of the Sensor Array and Multichannel Signal Processing Technical Committee of the IEEE Signal Processing Society (SPS) during 2002–2004. He was the recipient of the IEE Overseas Premium for the Best Paper in 1989 and is also the coauthor of the papers that received the IEEE SPS Best Young Author Award in 2006 and 2008. He was the recipient of the Alexander von Humboldt Research Award in 2010 and the McMaster Faculty of Engineering Research Achievement Award in 2011. Read more



Xianggen Xia

University of Delaware, USA, and Chonbuk National University, South Korea

IEEE Fellow


Xiang-Gen Xia received his Ph.D. degree in Electrical Engineering from the University of Southern California, Los Angeles, in 1992, respectively. In September 1996, he joined the Department of Electrical and Computer Engineering, University of Delaware, Newark, Delaware, where he is the Charles Black Evans Professor. Dr. Xia is a Kumar Chair Group Professor(guest) at Tsinghua University, Chang Jiang Chair Professor (visiting) at Xidian University, and a Chair Professor (visiting) with WCU Program at Chonbuk National University, South Korea. His current research interests include space-time coding, MIMO and OFDM systems, digital signal processing, and SAR and ISAR imaging. Dr. Xia has over 220 refereed journal articles published and accepted, and 7 U.S. patents awarded and is the author of the book Modulated Coding for Intersymbol Interference Channels (New York, Marcel Dekker, 2000). Dr. Xia received the National Science Foundation (NSF) Faculty Early Career Development (CAREER) Program Award in 1997, the Office of Naval Research (ONR) Young Investigator Award in 1998, and the Outstanding Overseas Young Investigator Award from the National Nature Science Foundation of China in 2001. He also received the Outstanding Junior Faculty Award of the Engineering School of the University of Delaware in 2001. He is currently the Associate Editor of several international journals. Dr. Xia is Technical Program Chair of the Signal Processing Symp., Globecom 2007 in Washington D.C. and the General Co-Chair of ICASSP 2005 in Philadelphia. He is a Fellow of IEEE. Read more




Hongyuan Zha

Georgia Institute of Technology, China




Hongyuan Zha is a Professor at Software Engineering Institute, ECNU and the School of Computational Science and Engineering, College of Computing, Georgia Institute of Technology. He earned his PhD degree in scientific computing from Stanford University in 1993. Since then he has been working on information retrieval, machine learning applications, and numerical algorithms. Before joining Georgia Tech, Hongyuan Zha was a Professor at the Department of Computer Science and Engineering at Pennsylvania State University from 1992 to 2006, and worked from 1999 to 2001 at Inktomi Corporation.



Tong Zhang

Rutgers University, USA



Tong Zhang received a B.A. in Mathematics and Computer Science from Cornell University in 1994 and a Ph.D. in Computer Science from Stanford University in 1998. After graduation, he worked at IBM T. J. Watson Research Center in Yorktown Heights, New York, and Yahoo Research in New York city. He is currently a professor of statistics at Rutgers University. His research interests include machine learning, algorithms for statistical computation, their mathematical analysis and applications.