Borhan M. Sanandaji's Homepage
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Borhan Molazem Sanandaji
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Biography
I am a Postdoctoral Scholar in the Electrical Engineering and Computer Sciences (EECS) department at the University or California, Berkeley, working with Prof. Kameshwar Poolla and Prof. Pravin Varaiya and at the Berkeley Center for Control and Identification (BCCI). I received my Ph.D. in Electrical Engineering from the Electrical Engineering and Computer Science (EECS) department at the Colorado School of Mines working under the supervision of Prof. Tyrone Vincent and Prof. Michael Wakin.
Research Interests
In a nutshell, my research interests include topics in machine/deep learning, statistical signal processing, and time-series forecasting for the analysis of large-scale interconnected dynamical systems, with applications to intelligent transportation systemes, smart energy grids and power systems, and cyber-physical systems. In particular, the recent focus of my research is on:
Artificial Intelligence based Predictive Maintenance of connected IoT devices
Cyber Data Attacks and Anomaly Detection of Frauds
Compressive Sensing and Structured-Sparse Signal Recovery of Dynamical Networks
Renewable Energy Integration, Aggregation of Flexible Loads, and Demand Response
For a detailed description of my research interests, please see my Research Projects and Publications list.
NEWS
October 2020: Lightning talk on Time-Series Forecasting based Early Anomaly Detection of Payement Losses presented at 2020 UberML Conference, San Francisco, CA.
June 2020: New U.S. Patent granted on Computing system with driver behavior detection mechanism and method of operation thereof, U.S. Patent 10,685,248, issued June 16, 2020.
July 2017: Our paper on Deep Forecast: Deep Learning-based Spatio-Temporal Forecasting is accepted in the 34th International Conference on Machine Learning (ICML) and will be presented in the Time Series worskhop (Sydney, Austaralia, July 2017).