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Research interests
Trustworthy AI
Develop data-driven technology that can be trusted to do the critical work
CPS Security
Protect the critical infrastructure against cyber and physical attacks
Human-centric Technology
Design methods that respect human-centric needs and values
Future Energy Systems
Ensure sustainable and reliable access to power and energy for society
Selected Awards
- Siebel Scholar (class of 2018)
- Best paper award, Building and Environment (2018)
- Best paper runner-up award at MobiQuitous (2016)
- Best paper award at Ubicomm for Mobile Ubiquitous Computing (2015)
News
Sep 2020Invited presentation at the 2020 CPES & PEC conference on "Adversarially robust learning and control for power grid"
Aug 2020Paper on deep learning for smart inverter control to appear in IEEE SmartGridComm'20 "Deep Learning for Reactive Power Control of Smart Inverters under Communication Constraints"
Aug 2020I will teach ECE4424/CS4824: Machine learning (fall, 2020)
Aug 2020Gokce Onen has joined my group as a PhD student.
Aug 2020Invited presentation at the IEEE Conference on Control Technology and Applications (CCTA) on "Adversarial machine learning for energy systems"
Aug 2020Paper on reinforcement learning for thermodynamic systems to appear in Applied Energy "Control of superheat of organic Rankine cycle under transient heat source based on deep reinforcement learning"
Jul 2020Thanks NSF for supporting our proposal Machine Learning for Communication-Cognizant Smart Inverter Control with Vassilis Kekatos
Apr 2020Conversation with Berkeley IEOR (interview article)
Apr 2020New paper on online nonconvex optimization "Diminishing Regret for Online Nonconvex Optimization"
Jan 2020The paper "Conic Relaxations of Power System Optimization: Theory and Algorithms" to appear in European Journal of Operational Research