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.