Mo-Yuen Chow earned his degree in Electrical and Computer Engineering from the University of Wisconsin-Madison (B.S., 1982); and Cornell University (M. Eng., 1983; Ph.D., 1987). Dr. Chow is a Professor in the Department of Electrical and Computer Engineering at North Carolina State University. He was a Changjiang Scholar.
Keynote Speech: Resilient Cyberphysical System: Networked Microgrids Energy Management Systems
Abstract: As the future smart grid technologies advances, the smart grid is gradually evolving into a highly sophisticated cyberphysical system. The Networked Microgrids (NMG) is widely envisioned to be the building block for the future smart grid, for its autonomy, distributed energy resources hosting capability, enhancements in reliability and resilience, etc. This presentation will dissect the NMG vision into several key technologies in the cyber and physical layers, e.g. the needs of network/information technology to enable the resilience, reliability, and cost-effective operation of the networked NMG. This presentation will also highlight two of the fundamental technologies: resilient Collaborative Distributed Energy Management Systems (CoDEMS) and hierarchical distributed EMS that are currently developed at ADAC lab. The presentation will also pay attention to the critical component of the resilient NMG --- energy storage device, which serves as the cornerstone of reliability and resilience enhancements.
P. R. Kumar
Title： Regents Professor，Distinguished Professor，College of Engineering Chair in Computer Engineering， TEXAS A&M UNIVERSITY，Member, National Academy of Engineering，USA
Keynote Speech: Real time wireless networks
Abstract: Inspired by classical results in real-time scheduling, we consider a model of an access point serving several flows, and provide a possibly surprising characterization of what throughput vectors feasible, as well as throughput-optimal scheduling policies that are almost static. Then we turn to multi-hop networks with end-to-end deadlines, and show that under some models of concurrency constraints, one can obtain decentralized policies that are throughput optimal.