Keith Moffat
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Ph.D., Electrical Engineering and Computer Science |
Research
I develop learning, control, and optimization methods for power systems challenges, producing both theoretical results and tools that are useful for real-world applications. I am particularly interested in the intersection of learning, control, and optimization for stochastic network systems, and how online, data-driven tools can be used to reduce the societal cost of the transition from fossil fuel-based electricity generation to renewable energy sources and the ‘‘electrification of everything.’’
My publications can be found on my Google Scholar page.
Teaching
I have twice (Fall 2019, Fall 2021) been the Graduate Student Instructor (GSI) for UC Berkeley's EE137A Introduction to Electric Power Systems course with enrollment of ~50. Over these two semesters I have written lecture notes that provide a fundamentals-based approach to power systems education.
In 2022 I was the GSI for the The Flow of Power Information and Money in Tomorrow’s Electric Grid: Storage, Renewables, and Demand Response course offered to the Master of Future Energy Systems and Technology joint project between UC Berkeley and the Dubai Electric and Water Authority (DEWA).
Other
I am an active participant in government legislation that will encourage the adoption of renewable energy technology. I contributed a public comment on the recent R2207005 legislation in California.
As the peer-elected Program Director for UC Berkeley's IEEE Power and Energy Chapter, I have organized Spring and Fall Seminar Series.
I have also included a list of classes that I have taken over the course of my PhD.
About me
I received the B.A./B.E. degrees in Engineering from Dartmouth College/The Thayer School of Engineering in 2016. From 2009 to 2015 I competed on the US Ski Team. In 2022, I completed my Ph.D. at UC Berkeley in Electrical Engineering and Computer Science, supervised by Professors Claire Tomlin, Alexandra von Meier, and Duncan Callaway. I am currently a Postdoctoral researcher at the ETH Zurich's Automatic Control Laboratory, working with Professor Florian Dorfler.