معرفی
Somayeh Sojoudi is an Associate Professor in the Departments of Electrical Engineering & Computer Sciences and Mechanical Engineering at UC Berkeley, affiliated with the Berkeley Institute for Data Science (BIDS). Her research focuses on Artificial Intelligence, Control Systems, Optimization Theory, and Power and Energy systems. She teaches courses like EECS 127 and EECS 227AT on optimization models in engineering.
Education: PhD in Control & Dynamical Systems from the California Institute of Technology (2013).
Research Interests:
- AI and Machine Learning, particularly neural network robustness and generative models
- Optimization methods for non-convex and low-rank problems
- Control systems, power grids, and distributed energy resources
- Game-theoretic approaches in dynamic systems
Awards:
- NSF CAREER Award (2021)
- ONR Young Investigator Award (2021)
- INFORMS Optimization Society Prize for Young Researchers (2015)
- IEEE PES Best-of-the-Best Conference Paper Award (2022)
Her work bridges theoretical advancements in optimization with practical challenges in energy systems and AI, emphasizing robustness and safety-critical applications.
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