Sun Sun  —  Research

I am generally interested in stochastic optimization, distributed control, online learning, signal processing, and information technology. My goal is to employ computational tools in cyber-physical systems, so as to 1) develop intelligent algorithms that improve system performance (e.g., reliability, robustness, and cost effectiveness), and 2) design low-complexity control strategies for the system operators and users. My Ph.D. work focuses on modern power and energy systems with high-penetration of intermittent, unpredictable renewables (e.g., wind and solar). My work spans a wide range of topics such as power system modeling, energy storage, and demand response. I also worked on channel estimation and decoding in wireless communications in my masters.