New paper on stability certfied reinforcement learning “Stability-certified reinforcement learning: a control-theoretic perspective”.
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).
Presentation at the 23rd International Symposium on Mathematical Programming, Bordeaux, France: “Vulnerability analysis and robustification of power grid state estimation” (slides).
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.
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.”
New paper on observer design for large-scale nonlinear systems: “Multiplier-based observer design for large-scale Lipschitz systems.”
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!
I have finished my PhD thesis: Data-efficient Analytics for Optimal Human-Cyber-Physical Systems.
Centerline has reported our IEQ Bot in its November issue: “CBE Panel Session Explores Innovative Methods for Monitoring Indoor Environments”.
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).
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.
New paper on power system vulnerability analysis “Power Grid AC-based State Estimation: Vulnerability Analysis Against Cyber Attacks”.
Berkeley Engineer magzine featured an article “Brains for buildings, packaged in a smart briefcase” on our Building-in-Briefcase sensor platform.
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).
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).
Oral presentation of paper Inverse reinforcement learning via deep Gaussian Process at UAI 2017 (slides and a blog from Daniel Seita), Sydney, Australia.
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
CO2Meter.com featured an article CO2 Sensor Occupancy Detection on my work Sensing by proxy: Occupancy detection based on indoor CO2 concentration (best paper award)
Our proposal for “Social Game for Smart Building Energy Efficiency” accepted (Total: $14,000, duration 1 year, with Ioannis Konstantakopoulos)!
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.
Paper Virtual occupancy sensing: Using smart meters to indicate your presence accepted in TMC.
My proposal for Energy Utopia is awarded with the Student Technology Fund of $3000.
We have organized the first international workshop on smart building collocated with IEEE SmartGridComm in November, Sydney! (slides for keynotes are now available HERE).
I’m excited to lead the discussion in the EE core course at Berkeley, EE 120: Signals and Systems with Prof. Ron Fearing. If you are taking my discussions, feel free to leave your feedback! Go bears!
I’m teaching the innovation course at Berkeley, EE 16B: Designing Information Devices and Systems II as a Graduate Student Instructor (GSI), together with Prof. Anant Sahai and Prof. Michel Maharbiz.
Our paper “SoundLoc: Accurate room-level indoor localization using acoustic signatures”(joint work with Ruoxi Jia and Prof. Costas Spanos) has been featured in MIT Technology Review: An Indoor Positioning System Based On Echolocation.