Guannan Qu

Guannan Qu is an Assistant Professor of Electrical and Computer Engineering at Carnegie Mellon University. His research focuses on designing real-time control algorithms to ensure safe and efficient operation of energy systems with high renewable energy penetration, addressing challenges posed by renewable volatility. He previously served as a Resnick Postdoctoral Fellow (2019).

Education:

• Bachelor of Science, Tsinghua University (2014)
• Doctor of Philosophy, Harvard University (2019)

Research Interests: Guannan’s work emphasizes mitigating adversarial effects of renewable energy volatility to enable higher sustainability. His algorithms target grid stability, optimization under uncertainty, and real-time adaptive control mechanisms for energy systems.

Professional Affiliations: Faculty Sponsor: Steven H. Low.