Research Highlights

My research interests span a wide spectrum of topics in smart grids, learning, optimization and control. I have been focusing on various problems at the intersection of these areas, including algorithms in graphical models, information aggregation for online control and time-series data analysis. The keyword of my research is smart EV charging, motivated by answering the following questions:

  1. As more and more EV charging data collected at charging facilities, how can we take advantage of it to better predict, detect, optimize and control?

  2. Can we develop new artificial intelligence techniques and fundamental results by considering the EV charging problem as a rising application domain for ML?

A brief introduction of my research topics is presented below.


Learning-based Predictive Control

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Prediction, Clustering and Anomaly detection

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Model-based Graph Learning

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