Yuanyuan Yang,

Professor of ECE & CS
Graduate Program Director, Department of Electrical & Computer Engineering
Director of Communications and Devices Division, CEWIT
Stony Brook University (SUNY)

YuanyuanYang received the BEng and MS degrees in computer science and engineering from Tsinghua University, Beijing, China, and the MSE and PhD degrees in computer science from Johns Hopkins University, Baltimore, Maryland. Dr. Yang is a Professor and Graduate Program Director of Department of Electrical & Computer Engineering, a Professor of Department of Computer Science, the Director of Communications & Devices Division of New York State Center of Excellence in Wireless and Information Technology (CEWIT), and the Director of High-Performance Computing and Networking Research Lab at Stony Brook University.
Dr. Yang is internationally recognized for her contributions in networking and parallel and distributed computing systems areas. She was named an IEEE Fellow in 2009 " for contributions to parallel and distributed computing systems." Her current research interests include wireless/mobile networks, data center networking, cloud computing, and optical networks. Her research group currently develops routing protocols, deployment algorithms, energy-charging algorithms and data gathering mechanisms in wireless rechargeable sensor networks, and switching networks, packet scheduling algorithms and virtual machine placement algorithms in cloud computing networks.
Dr. Yang has served as the Associated Editor-in-Chief for IEEE Transactions on Computers and an Associated Editor for IEEE Transactions on Parallel and Distributed Systems. She is currently an Associate Editor for the Journal of Parallel and Distributed Computing. She has published more than 300 scientific papers in leading refereed journals, conferences and book chapters.
She is an inventor/co-inventor of seven U.S. patents in the area of interconnection networks. She has served as a distinguished visitor of IEEE Computer Society. She received an IEEE Region 1 Award for "significant contributions in multicast switching networks" in 2002, the Best Paper Awards at the 18th IEEE International Parallel and Distributed Processing Symposium in 2004, and the 7th International Conference on Parallel and Distributed Systems in 2000, as well as a Distinguished Leadership Award from the 15th IEEE International Conference on Computer Communications and Networks in 2006. She has served as a general chair, program chair or vice chair for several major conferences and a program committee member for numerous conferences. She has received many research grants as a Principal Investigator from the U.S. National Science Foundation and the Army Research Office.
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In early 1990s, Shashi's research developed core technologies behind in-vehicle navigation devices as well as web-based routing services, which revolutionized outdoor navigation in urban environment in the last decade. His recent research results played a critical role in evacuation route planning for homeland security and received multiple recognitions including the CTS Partnership Award for significant impact on transportation. He pioneered the research area of spatial data mining via pattern families (e.g. collocation, mixed-drove co-occurrence, cascade), keynote speeches, survey papers and workshop organization. Shashi received a Ph.D. degree in Computer Science from the University of California (Berkeley, CA).

Title: Power Sensor Networks by Wireless Energy - Current Status and Future Trends

Abstract: Traditional battery-powered wireless sensor networks face many challenges to meet a wide range of demanding applications nowadays due to their limited energy. Although energy harvesting techniques can scavenge energy from the environment to sustain network operations, dynamics from the energy sources may lead to service interruption or performance degradation when the sources are unavailable. Recent advances in wireless energy transfer have opened up a new dimension to resolve the network lifetime problem. In this talk, we present an overview of the wireless energy transfer techniques and recent developments to apply these techniques in various sensing applications. We also show how this novel technology can be integrated with classic data collection applications and envision future directions in this area.

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www.ece.sunysb.edu/~yang