I joined the department of Electrical and Computer Engineering at the University of Washington in 2015. My research interests are in the area of cyberphysical and power systems, spanning from control/optimization, statistics and machine learning to power electronics. If you are interested in any of these, I’m sure we can find things to chat about. My CV is here.
I completed my PhD in Electrical Engineering and Computer Sciences at UC Berkeley in 2013, where I worked with David Tse and my thesis is here. I was a postdoc at Stanford, jointly hosted by Ramesh Johari and Ram Rajagopal. I received my undergraduate degree in Engineering Science (Electrical Option) from the University of Toronto.
We are fortunate to collaborate with some great companies and utilities in the Seattle area, including Microsoft Research, Doosan GridTech (formally 1Energy Systems), Distributed Energy&Power (Centrica), Seattle City Light, Battery Informatics and Google.
Support from the National Science Foundation, US Department of Energy, the Washington Research Foundation, the UW Clean Energy Institute, Doosan GridTech, Centrica, and Microsoft are gratefully acknowledged.
- Highlight Paper, Power Systems Computation Conference (PSCC), Data-Driven Optimal Voltage Regulation Using Input Convex Neural Networks
- Best Paper Runner Up, ACM E-Energy, 2019: Exploiting Vulnerabilities of Load Forecasting Through Adversarial Attacks
- Prize Paper (1 out of 4 for the entire conference) Power and Energy Society General Meeting, 2018: Non-Wire Alternatives: an Additional Value Stream for Distributed Energy Resources
- Best Conference Papers on Power System Stability, Control, and Protection, Power and Energy Society General Meeting, 2018
- Best Paper Finalist, ACM E-Energy, 2018
- NSF CAREER Award, 2019
- Forbes 30 under 30 in Energy, 2015
- NSERC Graduate Fellowship, 2008-2013
- UC Berkeley Fellowship, 2008
- Ontario Professional Engineers Foundation for Education Gold Medal, 2008