Yuanyuan Shi
Scholar

Yuanyuan Shi

Google Scholar ID: kQyQ_vwAAAAJ
Assistant Professor, UCSD
Power systemsControlMachine learning
Citations & Impact
All-time
Citations
2,408
 
H-index
21
 
i10-index
39
 
Publications
20
 
Co-authors
17
list available
Resume (English only)
Academic Achievements
  • Recipient of the Anastasio LANL-UC Early Career Faculty Fellowship, NSF CAREER Award, Schmidt Sciences AI2050 Early Career Fellowship, and Hellman Fellowship.
  • Published papers:
  • - IEEE Transactions on Smart Grids: Stability-constrained RL for Voltage Control under Arbitrary Communication Infrastructure
  • - IEEE Transactions on Energy Markets, Policy and Regulation: Improving Sequential Market Coordination via Value-oriented Renewable Energy Forecasting
  • - L4DC 2025: Neural Operators for Predictor Feedback Control of Nonlinear Delay Systems (Best Paper Finalist)
  • - ICML 2025: Analytical Lyapunov Function Discovery via Reinforcement Learning
Research Experience
  • She is an Assistant Professor at UC San Diego department of Electrical and Computer Engineering, with affiliations at the Center for Energy Research and MICS.
Education
  • She received her Ph.D. in Electrical and Computer Engineering from the University of Washington in 2020, advised by Prof. Baosen Zhang, and was a Postdoctoral Fellow in the Computing and Mathematical Sciences Department at Caltech, working with Prof. Adam Wierman and Prof. Anima Anandkumar.
Background
  • Her research interests lie primarily in machine learning and control, with applications in power and energy systems, and broader intelligent systems. Her group develops theory and algorithms that integrate learning with control-theoretic guarantees, enabling reliable decision-making in complex dynamical systems.
Miscellany
  • Office hour for FA'25: 11am - noon, @FAH 0009 or by appointments.