Research focus:
Building a scalable probabilistic theory to enable the fundamental understanding of cascading failures in complex, coupled power-grid, communication/control network, and human factors under WMD-based stressor.
Research work on modeling, optimizing and testing resource allocation policies in small-scale heterogeneous distributed-computing systems (DCS) consisting of geographically and/or logically distant computational elements (CEs) which can be affected by severe long-term damages such as those inflicted by weapons of mass destruction (WMD).
Developing data-driven probabilistic strategies for adaptive protection of smart grids against cyber threats.
Probabilistic characterization of precursors to WMD-induced cascading failures in the electric-cyber infrastructure: An integrated physical-network and human-factor approach; DTRA Award Number: HDTRA1-13-1-0020
Revolution through Evolution: A Controls Approach to Improve How Society Interacts with Electricity;
NSF(CRISP Type 2) award Number: 1541148
Optimization of Advanced Cyber infrastructure through Data-driven Computational Modeling
Award Number: 1807563
Algorithms and Methodologies for Detecting Vibrations using Synthetic Aperture Radar: A Fractional-Fourier Transform Approach