报告摘要：

Ocean occupies more than two thirds of the earth. However, it remains to be a new frontier to be explored. Recent developments in sensing technologies and sensor and communication networks have offered opportunities to enhance our capabilities to understand and explore this under-water part of world. In this talks, we will discuss the differences and challenges of under-water sensing and communication and overview several existing under-water sensing and communication systems. We will also present several applications like seismic/environmental monitoring, oceanographic research and under-water oil field that can be benefited from this type of research.

专家简介：

David Hung-Chang Du: Dr. Du is currently the Qwest Chair Professor of Computer Science and Engineering at University of Minnesota, Minneapolis. He has served as a Program Director at National Science Foundation (NSF) CISE/CNS Division from 2006 to 2008. At NSF, he was responsible for NeTS (networking research cluster) NOSS (Networks of Sensor Systems) Program and worked on Cyber Trust (Internet Security) Program and Computer Systems Research Program. He is also the Director of a NSF I/UCRC (Industry/University Collaborative Research Center) on Intelligent Storage (CRIS). CRIS is currently sponsored by 11 companies with 15 sponsorships. Dr. Du received a B.S. degree from National Tsing Hua University in 1974, an M.S. and Ph.D. degree from University of Washington (Seattle) in 1980 and 1981 respectively. Dr. Du joined University of Minnesota as a faculty since 1981. Dr. Du has a wide range of research expertise including multimedia computing, mass storage systems, high-speed networking, sensor networks, cyber security, high-performance file systems and I/O, database design, and CAD for VLSI circuits. He has authored and co-authored over 250 technical papers including 110 referred journal publications in these research areas. He has graduated 54 Ph.D. and 100+ M.S. students in the last 30 years. Dr. Du is an IEEE Fellow (since 1998) and a Fellow of the Minnesota Supercomputer Institute. He has also served as Conference Chair and Program Committee Chair for several major conferences in multimedia, networking, database, parallel/distributed computing and security areas. Most recently he was the General Chair of the 30th IEEE Symposium on Security and Privacy (2009), Program Committee Co-Chair for the 37th International Conference on Parallel Processing (2009), General Chair of ICDCS (2011) the General, Co-Chair of ACM International Conference on Underwater Networks and Systems (2013) and General Chair of International Conference on Parallel Processing (2014).

报告摘要：

Many practical underwater sensor network applications require the sensor nodes to be aware of their positions in the physical space. The research on sensor network localization focuses on either the localizability study, which investigates whether each sensor node is uniquely localizable or not, or the positioning algorithm design, which seeks practical techniques to actually localize each sensor. In this talk, I will discuss a time difference of arrival based positioning algorithm that provides synchronization-free and silence localization for underwater environment, a practical 3D underwater localization framework that transform the 3D localization problem into its 2D counterpart by employing depth information and a non-degenerative projection, and the time-bounded essential localization that investigates the essential localizability of a sensor network within a given time-bound. A number of open research issues will also be discussed.

专家简介：

Xiuzhen Cheng received her MS and PhD degrees in computer science from the University of Minnesota -- Twin Cities, in 2000 and 2002, respectively. She is a professor at the Department of Computer Science, the George Washington University, Washington DC. Her current research interests focus on cognitive radio networks, wireless and mobile security, mobile handset networking systems (mobile health and safety), wireless and mobile computing, sensor networking, and algorithm design and analysis. She has served on the editorial boards of several technical journals (e.g. IEEE Transactions on Parallel and Distributed Systems, IEEE Wireless Communications) and the technical program committees of various professional conferences/workshops (e.g. IEEE INFOCOM, IEEE ICDCS, IEEE ICC, IEEE/ACM IWQoS). She also has chaired several international conferences (e.g. IEEE CNS, WASA). She received the best paper awards in IEEE MASS 2006, IEEE Globecom 2007, WASA 2010, and ACM ICUMC 2011. Xiuzhen worked as a program director for the US National Science Foundation (NSF) from April to October in 2006 (full time), and from April 2008 to May 2010 (part time). She is a senior member of IEEE and a member of ACM.

报告摘要：

To explore the intriguing world undersea, the need for robust and reliable underwater wireless networks (UWN) is rapidly growing. Among the various means of communications, underwater acoustic (UWA) communications is widely considered as the most feasible option at reasonable distances. The physics of underwater sound wave propagation render UWA channels frequency-selective and time-variant, which are characterized as doubly spread channels. Hence, physical layer techniques accounting for such channels are key enablers for UWN. In this talk, we will start with various Doppler modeling approaches followed by transceiver designs based on these models. We will also discuss cooperative communications, localization and tracking methods for UWN. Additionally, we will showcase testbeds facilitating design, development and demonstration of various underwater communications and networking systems.

专家简介：

Dr. Liuqing Yang received her Ph.D. degree in Electrical and Computer Engineering from the University of Minnesota, Minneapolis, in 2004. She is currently a Professor at Colorado State University. Her general interests are in areas of signal processing with applications to communications, networking and power systems – subjects on which she has published more than 180 journal and conference papers, 2 book chapters and 1 book. Dr. Yang was the recipient of the Best Dissertation Award in the Physical Sciences & Engineering from the University of Minnesota in 2004, the Best Paper Award at the IEEE International Conference on UWB in 2006, the AFOSR Summer Faculty Fellowship in 2007, the ONR Young Investigator Program (YIP) award in 2007, the NSF Faculty Early Career Development (CAREER) award in 2009, the IEEE GLOBECOM 2010 Outstanding Service Award, and the George T. Abell Outstanding Mid-Career Faculty Award in 2012, and the Best Paper Award at the IEEE/CIC International Conference on Communications in China in 2013. She has served as an active reviewer for more than 10 journals, as TPC chair/member for a number of conferences, and as an associate editor for IEEE Intelligent Systems, IEEE Transactions on Communications, IEEE Transactions on Wireless Communications, IEEE Transactions on Intelligent Transportation Systems, and PHYCOM: Physical Communication.

报告摘要：

专家简介：

孙大军，教授，男，1972年2月出生，1996年留校任教，现任哈尔滨工程大学教授，博士生导师，水声工程学院院长，主要从事水声工程方面的教学研究工作。参与水声专项、国防重点实验室以及国家级重点学科水声工程专业的建设工作。2005年至今，“十一五”承担国家863重点项目“×××水声探测系统”研究，采用国际合作的途径突破有关甚低频水声探测的技术瓶颈，目前南海为期两个月的试验已取得突破性进展。

报告摘要：

地球表面的三分之二为海洋所覆盖，大于3000米水深的海洋面积占海洋总面积的近90%。目前，人类对海洋的探测区域不到5%，且多发生在近海，直至上个世纪中叶，才开始了深海调查研究。资源和安全是人类面临的两大主要问题，而深海蕴藏着丰富的油气、矿产、生物及基因资源，海洋引起的自然灾害更是对人类的生存产生直接威胁。对海洋中多种物理、化学、生物和地质等过程进行的观测和监测，是了解和掌握海洋的变化规律，科学利用海洋和预防海洋灾害的重要基础工作。本发言分析比较了水下遥控机器人（Remotely Operated Vehicle, ROV）、水下自主航行器（Autonomous Underwater Vehicle, AUV）、拖曳测量系统（Towed Survey System）等用于深海观测平台的优缺点，重点讨论了基于AUV平台的深海观测技术发展现状及展望。

专家简介：

吴永亭，山东莱西人，国家海洋局第一海洋研究所副总工程师，工程技术带头人（研究员）。主要从事海洋大地测量及海洋工程测量相关的科研及技术咨询。1994年毕业于武汉测绘科技大学大地测量专业，获学士学位；1998~2000年，中国海洋大学地球科学学院在职研究生进修班学习；2013年毕业于武汉大学大地测量与测量工程专业，获博士学位。中国测绘地理信息学会海洋测绘专业委员会委员，《海洋测绘》杂志编委。主持完成了863“长程超短基线定位系统研制”子课题、863“浅水宽覆盖多波束系统研制”子课题、国家908专项、国家729专项、国家927专项等项目。获得过国家海洋工程科学技术奖、国家优秀测绘工程、山东省优秀测绘工程、青岛科学技术进步等奖项。合编著《现代海洋测绘》、《海洋调查技术及应用》等专著。

报告摘要：

Underwater acoustic sensor network consists of a variable number of sensors and vehicles that are deployed to perform collaborative monitoring tasks over a given area. However, the cost for underwater sensors is very high. It is desirable to use much less number of sensors and produce dense sensors deployment effect. In this talk, I will introduce a new class of underwater sensor deployment based on 3-D nested array, whose difference co-array can give rise to a virtual three dimensional array with much larger number of nodes on a “dense” lattice although the number of physical sonar sensors is quite small. This effect is obtained by systematically nesting two arrays, one with sensors on a sparse lattice and the other on a dense lattice where the lattices bear a certain relation with each other. Further, we apply this new scheme to target recognition and positioning in underwater sensor networks.

专家简介：

Qilian Liang was born in Rizhao, Shandong. He is a Professor at the Department of Electrical Engineering, University of Texas at Arlington (UTA). He received the B.S. degree from Wuhan University in 1993, M.S. degree from Beijing University of Posts and Telecommunications in 1996, and Ph.D degree from University of Southern California (USC) in May 2000, all in Electrical Engineering. Prior to joining the faculty of the University of Texas at Arlington in August 2002, he was a Member of Technical Staff in Hughes Network Systems Inc at San Diego, California. His research interests include wireless sensor networks, underwater sensor networks, wireless networks, wireless communications, compressive sensing and sparse sensing, etc. Dr. Liang has published more than 270 journal and conference papers and 7 book chapters. He received 2002 IEEE Transactions on Fuzzy Systems Outstanding Paper Award, 2003 U.S. Office of Naval Research (ONR) Young Investigator Award, 2005 UTA College of Engineering Outstanding Young Faculty Award, 2007, 2009, 2010 U.S. Air Force Summer Faculty Fellowship Program Award, 2012 UTA College of Engineering Excellence in Research Award, and 2013 UTA Outstanding Research Achievement Award.

报告摘要：

The last decade has seen a research 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 densely 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 distributed cyber-aquatic system drastically differs from any existing technology; the method will densely deploy static and mobile systems (we also use nodes to refer to individual systems) with sensing and communication 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 focus on underwater acoustic communication and networking. Due to the unique characteristics of underwater acoustic channels (low available bandwidth, long propagation delays, high error rates and high temporal/spatial dynamics), existing terrestrial wireless networking techniques cannot be directly applied and new research at every level of the protocol suite is demanded. Adopting a top-down approach along the layered protocol stack, we will roughly go down from the top application layer to the bottom physical layer. At each layer, a set of new design intricacies are identified and discussed.

专家简介：

Jun-Hong Cui received her Ph.D. degree in Computer Science from UCLA in 2003. Currently, she is a Full Professor 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/colleges. The lab has accumulatively secured more than $15M research funding during the past 7 years. More recently, she has been leading the efforts to launch an NSF I/UCRC (Industry/University Cooperative Research Center) for Smart Ocean Technologies, 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. More recently, she received Outstanding Faculty Mentoring Award, School of Engineering UConn (2013) and became an elected CASE (Connecticut Academy of Science and Engineering) member (2014).