13 Dec, 2018 (Thu)Time:
11:00 am - 12:00 pmLocation:
SpeakerProf. Qifeng Li
Department of Electrical and Computer Engineering
University of Central Florida
Convex optimization technologies have been attracting attention in many engineering fields, mainly because: 1) it is computationally effective and robust; 2) it is fundamental in both distributed optimization and bi-level optimization. In this talk, I will introduce the basic ideas and the state of the art of convex relaxations for non-convex systems based on some application scenarios, such as AC power flows, battery energy storage, fluid networks, and a stability-constrained optimization framework of nonlinear control systems. Some potential applications of convex optimization will also be discussed.
Biography of the speaker:
Qifeng Li received his Ph.D. degree in Electrical Engineering at Arizona State University in 2016. He is currently an Assistant Professor in the Department of Electrical and Computer Engineering and the faculty cluster of Resilient, Intelligent and Sustainable Energy Systems at the University of Central Florida. From July 2016 to Jan. 2018, he held a Postdoctoral Associate position in the Department of Mechanical Engineering at Massachusetts Institute of Technology (MIT). From May to July 2018, he was a Visiting Assistant Professor in the same department at MIT. His research interests include nonlinear systems and convex optimization with applications in power and energy systems. Specific interests in microgrids, energy-water nexus, and grid integration of renewable generation and battery energy storage.
OrganizerDr. Y. Hou
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