Keith Moffat
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Postdoctoral researcher, the Automatic Control Laboratory, ETH Zurich |
Research
I develop new data-driven control and optimization tools and theory to facilitate the “electrification of everything” and the transition to 100% renewable energy electric grids.
My publications can be found on my Google Scholar page.
Teaching
At ETH Zurich, I have helped develop the Computational Control course and run exercise/review sessions for the Control Systems course.
At UC Berkeley, I was the graduate student instructor (GSI) for Berkeley's Introduction to Electric Power Systems course. During this time I wrote lecture notes which I plan on turning into a fundamentals-based Power Systems course.
I also GSIed for the Flow of Power Information and Money in Tomorrow’s Electric Grid course offered by UC Berkeley to the Dubai Electric and Water Authority (DEWA).
Other
I contributed a public comment on the R2207005 legislation in California. This legislation is a step towards flexible electric grids and an affordable transition to renewable energy.
As the peer-elected Program Director for UC Berkeley's IEEE Power and Energy Chapter, I organized the Spring and Fall Seminar Series.
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 Dörfler and Dr. Saverio Bolognani.