Sunday, October 22, 2017
1300 - 1800	Registration
1800 - 2030	Welcome Reception - all are invited
Monday, October 23, 2017
0830 - 1730	Registration
0920 - 0950	Opening Ceremony
0950 - 1030	Keynote Speech 1
1030 - 1050	Coffee/Tea Break -
1050 - 1130	Keynote Speech 2
1130 - 1210	Keynote Speech 3
Room	A	B	C	D	P
1330 - 1730	SPG Session 01	UWC Session 01	COM Session 01	CPT Session 01
Tuesday, October 24, 2017
0830 - 1730	Registration
0830 - 1230	SPG Session 02	UWC Session 02	COM Session 02	SPG Session 05	Poster Session 01
1330 - 1730	SPG Session 03	SPG Session 06	SPG Session 07	SPG Session 10	Poster Session 02
1830 - 2030	Conference Banquet - for Full Regular Registration Delegates
Wednesday, October 25, 2017
0830 - 1000	Registration
0830 -1230	SPG Session 04	SPG Session 08	SPG Session 09	SPG Session 11

 

 

 Oral Presentation

One of the author shall present his paper in the conference in according to the IEEE requirement, or the paper may not be published in IEEE Explore Digital Library (and EI).

The presentation is a sharing of experience and is not an examination.  Delegates shall take it easy and have a good practice is communicating his research result in the presentation, not with any pressure at all.   Delegates should not worry the English presentation but should treat it as an oral practice and learning process.

 Oral Presentation enable author to share their knowledge and experience with experts and researchers.   Authors should relax, just summarize the key points of the Paper and give 10-15 minutes talk. It is not another exam for student authors, just like talking to your colleagues will do.

The allocated presentation time for each paper is 15 minutes which includes the time for questions and answer from the audiences. In general, each PPT slide presentation takes 30 seconds, so your PPT should not have more than 30 slides.

Presenters are required to report to their Session Chairs at least 10 minutes prior to the start of their Session. All oral presentations must be loaded from USB into the note-book and tested before the session. PDF, Power Point are recommended. Movies or animations in MPEG, Windows Media, and etc., should be tested before the session.

 

 

Poster Presentation

One of the Paper Author should presented his paper in the Poster Session assigned and standby to discussion and answer questions during the whole Poster Session time slot.  Relax and just like chit-chatting with your colleagues.

You have to design your poster which should highlight your research results and demonstrate the good points with graphic illustration. 

Each poster paper will be given one panel of about 1m (Width) x 2m (Height) for the presentation.  Stationary and helps will be available in the Poster Session.

Presenters should prepare, bring and to the conference and mount the Poster before the session and remove them at the end of their session.

Keynote Speech 1

 

 

Enhancing QoS in Beamforming Networks: Mobile Beamformers and Optimal Motion Policies

 

Athina  Petropulu, Rutgers University，USA

 

Distributed, networked communication systems, such as relay beamforming networks are typically designed without considering how the positions of the respective nodes might affect the quality of the communication. That is, network nodes are either assumed to be stationary in space, or, if some of them are moving while communicating, their trajectories are assumed to be independent of the respective communication task. However, in most cases, the Channel State Information (CSI) observed by each network node, per channel use is both spatially and temporally correlated. One could then ask whether the performance of the communication system could be improved by predictively controlling the positions of the network nodes (e.g., the relays), based on causal CSI estimates and by exploiting the spatiotemporal dependencies of the communication medium. In this talk, we address the problem of enhancing Quality-of-Service (QoS) in power constrained, mobile relay beamforming networks, by optimally exploiting relay mobility. We consider a time slotted system, where the relays update their positions before the beginning of each time slot. Adopting a spatiotemporal stochastic field model of the wireless channel, we propose a novel 2-stage stochastic programming formulation for specifying the relay positions at each time slot, such that the QoS of the network is maximized on average, based on causal CSI and under a total relay transmit power budget. The motion control problem considered is shown to be approximately equivalent to a set of simple subproblems, which can be solved in a distributed fashion, one at each relay. Numerical simulations are presented, corroborating the efficacy of the proposed approach and confirming its properties.

 

Biography

Athina P. Petropulu is Distinguished Professor of the Electrical and Computer Engineering (ECE) Department at Rutgers, having served as chair of the department during 2010-2016.  Before that she was faculty at Drexel University. She held Visiting Scholar appointments at SUPELEC, Universite' Paris Sud, Princeton University, and University of Southern California.

Her research interests span the area of statistical signal processing, wireless communications, signal processing in networking, physical layer security, and radar signal processing. Her research has been funded by various government industry sponsors including the National Science Foundation, the Office of Naval research, the US Army, the National Institute of Health, the Whitaker Foundation, Lockheed Martin.

 

A. Petropulu is Fellow of IEEE and recipient of the 1995 Presidential Faculty Fellow Award given by NSF and the White House. 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), and the general co-chair of the 2018 IEEE workshop on Signal Processing advances in Wireless Communications (SPAWC). In 2005 she received the IEEE Signal Processing Magazine Best Paper Award, and in 2012 the IEEE Signal Processing Society Meritorious Service Award for "exemplary service in technical leadership capacities". She is IEEE Distinguished Lecturer for the Signal Processing Society for 2017-2018.

 

More info on her work can be found at www.ece.rutgers.edu/~cspl

 

 

 

Keynote Speech 2

 

 

 

Sequential estimation and diffusion of information over networks

 

Petar M. Djurić

Department of Electrical and Computer Engineering

Stony Brook University

Stony Brook, NY 11794

 

Abstract

Collaborative estimation of parameters of stochastic models in networks from observations made by individual nodes is a core topic in the field of signal and information processing over networks. In this talk, we formulate the problem of collaborative sequential estimation of unknown parameters where information in the network diffuses with time. The formulation is abstract and independent from any particular model. Our objective is to reach a generic solution that is applicable to a wide class of popular models. We adopt the Bayesian and information-theoretic paradigms so that we have at our disposal probabilistically consistent means for incorporation of the observations in the implemented estimation and for effective combination of the gained “knowledge” by the nodes in the network. The presented theory will be demonstrated by examples.

 

 

 

Biography

  Petar M. Djurić received the B.S. and M.S. degrees in electrical engineering from the University of Belgrade, Belgrade, Yugoslavia, respectively, and the Ph.D. degree in electrical engineering from the University of Rhode Island, Kingston, RI, USA. He is a SUNY Distinguished Professor with the Department of Electrical and Computer Engineering, Stony Brook University, Stony Brook, NY, USA. His research has been in the area of signal and information processing with primary interests in the theory of signal modeling, detection, and estimation; Monte Carlo-based methods; signal and information processing over networks; machine learning, RFID and the IoT. He has been invited to lecture at many universities in the United States and overseas. Prof.  Djurić was a recipient of the IEEE Signal Processing Magazine Best Paper Award in 2007 and the EURASIP Technical Achievement Award in 2012. In 2008, he was the Chair of Excellence of Universidad Carlos III de Madrid-Banco de Santander. From 2008 to 2009, he was a Distinguished Lecturer of the IEEE Signal Processing Society. He has been on numerous committees of the IEEE Signal Processing Society and of many professional conferences and workshops. He is the Editor-in-Chief of the IEEE Transactions on Signal and Information Processing over Networks and a Fellow of IEEE and EURASIP.

 

 

 

Keynote Speech 3

 

 

Smart Ocean and Signal Processing 

 

Jun-Hong (June) Cui, Ph.D.

 

Director, Smart Ocean Research Center, Jilin University, China

 

 Abstract

 

The last decade has seen a big R&D wave in terrestrial sensor networks, in which the embedded networked sensing technologies have revolutionized the way for human being to understand and interact with the physical world on the land. This decade will witness a revolution for the water world: distributed cyber-aquatic systems (aka. Smart Ocean Technology) will enable us to deploy static and mobile systems in an underwater environment, significantly enhancing the spatial and temporal dimensions of our monitoring and exploration capabilities. These new technologies bridging the cyber and aquatic worlds will transform the ways in observing and understanding the sparsely sampled oceans, estuaries, lakes and rivers. The smart ocean technology will deploy static and mobile systems with sensing, communication and computing capabilities so that the spatial coverage is greatly increased; meanwhile the approach will exploit advanced power harvesting, storage and management techniques to lengthen the system lifetime. These spatial-temporal scalable systems will significantly improve the monitoring and exploration capabilities in many critical applications. To make such a system a reality, many challenging intellectual problems need to be solved.

This talk will first discuss the challenges from five aspects: communication, power, sensing, platform and cyber-control. Then it will introduce the philosophy of “Smart Ocean”, and, through a couple of examples, illuminate how the philosophy guides the research in various aspects. After that, it will focus on the role of “signal processing” in the wide research spectrum of smart ocean technology, and discuss some relevant methodologies.       

 

Biography

Dr. Cui received her Ph.D. degree in Computer Science from UCLA in 2003. Currently, she is a Full Professor in the College of Computer Science and Technology, Jilin University, China. From Aug. 2003 to Aug. 2017, she was on faculty in the Computer Science and Engineering Department at University of Connecticut (UConn). She also served as the Assistant Dean for Graduate Studies and Diversity of School of Engineering at UConn from 2009-2012. At UConn, Jun-Hong founded and is leading the interdisciplinary UnderWater Sensor Network Lab, which involves more than 30 faculty members from eight departments across two schools. From 2012 to 2014, she led the efforts to launch an NSF I/UCRC (Industry/University Cooperative Research Center) for Smart Ocean Technology, in collaboration with University of Washington. In the research community, Jun-Hong co-founded the first ACM International Workshop on UnderWater Networks (WUWNet'06), which now has become a stand-alone premium conference in the area. She has been serving as the WUWNet steering committee chair. Jun-Hong received 2007 NSF CAREER Award and 2008 ONR Young Investigator Award. She also received the United Technologies Corporation (UTC) Professorship in Engineering Innovation award at UConn in 2008 and UCLA Engineering Distinguished Young Alumnus Award in 2010. She received Outstanding Junior Faculty Mentoring Award, School of Engineering UConn in 2013 and became an elected CASE (Connecticut Academy of Science and Engineering) member in 2014. Starting from 2016, Dr. Cui joined Jilin University as a Special Expert for the China 1000 Talent Program (selected in 2015) and founded the first Smart Ocean Research Center in China.