Aug 2019
New paper on cybersecurity for power grid “Boundary Defense against Cyber Threat for Power System Operation”.

Jul 2019
Paper to appear in Proc. 58th IEEE Conference on Decision and Control “Towards Robust and Scalable Power System State Estimation”.

May 2019
New paper on robust graph convolutional network “Power up! Robust Graph Convolutional Network against Evasion Attacks based on Graph Powering”.

Feb 2019
New paper on power system state estimation “Scalable and robust state estimation from abundant but untrusted data”.

Oct 2018
New paper on stability certfied reinforcement learning “Stability-certified reinforcement learning: a control-theoretic perspective”.

Aug 2018
Presentations at the International Conference on Applied Energy: “BISCUIT: Building Intelligent System Customer Investment Tools” (paper | slides) and “Advanced Building Control via Deep Reinforcement Learning” (paper).

Jul 2018
Presentation at the 23rd International Symposium on Mathematical Programming, Bordeaux, France: “Vulnerability analysis and robustification of power grid state estimation” (slides).

Jun 2018
New paper on power system vulnerability analysis “Power Grid AC-based State Estimation: Vulnerability Analysis Against Cyber Attacks” accepted in IEEE Transactions on Automatic Control.

Mar 2018
New paper to guarantee safety of smooth RL in real-world systems like power grids: “Control-theoretic analysis of smoothness for stability-certified reinforcement learning.”

Mar 2018
New paper on observer design for large-scale nonlinear systems: “Multiplier-based observer design for large-scale Lipschitz systems.”

Jan 2018
We are organizing an international workshop on “AI for energy-cyber-physical systems” as part of the International Conference on Applied Energy (ICAE 2018). See here the CFP!

Dec 2017
I have finished my PhD thesis: Data-efficient Analytics for Optimal Human-Cyber-Physical Systems.

Nov 2017
Centerline has reported our IEQ Bot in its November issue: “CBE Panel Session Explores Innovative Methods for Monitoring Indoor Environments”.

Nov 2017
Paper on our new IEQ Bot “Automated mobile sensing: Towards high-granularity agile indoor environmental quality monitoring” accepted by Building and Environment (paper | slide | code).

Oct 2017
INFORMS invited talk on “Robustness Analysis of Power Grid under False Data Attacks Against AC State Estimation” at Houston, Texas. Panelist in the Industrial Advisory Board meeting at the Center of the Built Environment, “IEQ Bot”, Berkeley, California.

Oct 2017
New paper on power system vulnerability analysis “Power Grid AC-based State Estimation: Vulnerability Analysis Against Cyber Attacks”.

Oct 2017
Organization of the upcoming panel session “From clean energy research into innovation” at Applied Energy Symposium and Forum (REM2017).

Oct 2017
Berkeley Engineer magzine featured an article “Brains for buildings, packaged in a smart briefcase” on our Building-in-Briefcase sensor platform.

Sep 2017
Three papers “Distributed energy resource integration by dispatch and retail optimization”, “WinIPS: An WiFi-based non-intrusive indoor positioning system enabling online radio map construction” and “Review of microgrid development in the United States and China and lessons learned for China” accepted in IEEE PES ISGT-Asia (2017), IEEE Transactions on Wireless Communications and Applied Energy Symposium and Forum (REM2017).

Aug 2017
Two papers “A semidefinite programming relaxation under false data injection attacks against power grid AC state estimation” and “Indoor environmental quality monitoring by autonomous mobile sensing” accepted in Allerton (2017) and ACM BuildSys (2017).

Aug 2017
Oral presentation of paper Inverse reinforcement learning via deep Gaussian Process at UAI 2017 (slides and a blog from Daniel Seita), Sydney, Australia.

June 2017
IEEE Spectrum featured an article What Does Your Smart Meter Know About You? on my recent work Virtual occupancy sensing: Using smart meters to indicate your presence

June 2017 featured an article CO2 Sensor Occupancy Detection on my work Sensing by proxy: Occupancy detection based on indoor CO2 concentration (best paper award)

June 2017
Paper “Inverse reinforcement learning via deep Gaussian Process” (paper | code | supplementary) accepted for oral presentation in UAI 2017, Sydney, Australia.

June 2017
Our proposal for “Social Game for Smart Building Energy Efficiency” accepted (Total&#58 $14,000, duration 1 year, with Ioannis Konstantakopoulos)!

May 2017
Three papers “Microgrid to enable optimal distributed energy retail and end-user demand response”, “A Robust Utility Learning Framework via Inverse Optimization”, and “Measuring fine-grained Metro interchange time via smartphones” accepted in Applied Energy, TCST, and Transportation Research Part C.

May 2017
Talk at ACC, Seattle, on Leveraging correlations in utility learning (slides)

Mar 2017
Paper Virtual occupancy sensing: Using smart meters to indicate your presence accepted in TMC.

Dec 2016
My proposal for Energy Utopia is awarded with the Student Technology Fund of $3000.

Nov 2016
Our paper “MetroEye&#58 Towards a fine-grained passenger tracking under the ground” won the Best Paper Runner-up Award at MobiQuitous 2016 (paper | poster)

Nov 2016
We have organized the first international workshop on smart building collocated with IEEE SmartGridComm in November, Sydney! (slides for keynotes are now available HERE).

Aug 2015
I’m excited to lead the discussion in the EE core course at Berkeley, EE 120&#58 Signals and Systems with Prof. Ron Fearing. If you are taking my discussions, feel free to leave your feedback! Go bears!

Feb 2016
I’m teaching the innovation course at Berkeley, EE 16B&#58 Designing Information Devices and Systems II as a Graduate Student Instructor (GSI), together with Prof. Anant Sahai and Prof. Michel Maharbiz.

Sept 2015
We are awarded with the Best Paper Award for the paper “Sensing by Proxy” (paper | poster). News covered by SinBerBEST, homepage of EECS, UC Berkeley, and News Letter of CITRIS.

July 2014
Our paper “SoundLoc&#58 Accurate room-level indoor localization using acoustic signatures”(joint work with Ruoxi Jia and Prof. Costas Spanos) has been featured in MIT Technology Review&#58 An Indoor Positioning System Based On Echolocation.