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I am a PhD student in the Department of Electrical and Computer Engineering at Texas A&M University since Fall 2014.
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My research interests include Machine Learning, Adaptive Filtering, Signal Processing and Stochastic Control. I am working on estimation, identification and control of partially-observed Boolean dynamical systems (POBDS). The signal model of POBDS has a lot of applications in biological systems, social networks, communications, robotics and more. My research can be categorized in two main parts: 1) Optimal estimation, identification and control: I am focusing on developing optimal estimators, adaptive filters, and controllers for partially-observed dynamical systems in the presence of different sources of uncertainty. 2) Large-Scale Computations: Developing efficient, fast and accurate filters and controllers capable of processing large-scale systems, big data and online process is the main goal of this category. For more information about my research, please visit Current Research page.