Communications: spectrum issues, cognitive radio networks
Network security and Byzantines, Game theory
Medical imaging
Stochastic resonance, Alzheimer disease detection
Human decision making (Psychology and cognitive science)
Acoustic sensing for ecology studies
Current Research Projects
Data fusion, wireless sensor networks
Development of efficient algorithms for statistical inference with low dimensional signal models where complete signal recovery is not necessary
Exploitation of joint sparse and structured properties of multiple data vectors to develop distributed, decentralized solutions by using low dimensional measurements at different sites, without the need to converge all the signals at a central location
Exploration of artificial noise injection techniques for enhancing secrecy performance in the presence of an eavesdropper
Heterogeneous Multimodal Data Fusion, ARO
Heterogeneous data from multimodal sensors is statistically modeled using copula theory literature
Data fusion methods for statistically dependent data/features/decisions are explored for detection and estimation
Information diversity in heterogeneous sensor networks is characterized and analyzed
Resource Management in Sensor Networks, AFOSR
Sensor scheduling problem with the goal to reduce the number of selected sensors, is explored using sparsity-aware optimization
Equilibrium-based two-sided market model is formulated to design a crowdsourcing based mechanism for the distributed inference using sensors that are selfish and profit-motivated
Probabilistic sensor management schemes are explored based on the concepts developed in compressive sensing
Network Security, NYSTAR, AFRL
Design of schemes for interference management in wireless communication networks via strategic power allocation, matching/market theory, and coding-based approaches
Analysis of optimal Byzantine attacks and network's defense strategies in distributed inference networks with different topologies
Design of secure distributed detection systems in the presence of an eavesdropper
Development of a tool to facilitate analysis of strategic use of redundancy and diversity techniques for cyber survivability and recoverability against tactical attacks by leveraging Game Theoretic concepts
Interdisciplinary Collaborations, NSF
Design of automatic large-scale classifiers for bird sounds using large data that has been collected by ecologists to study bird behavior patterns
Development of experiments in collaboration with psychologists to understand the phenomenon of decision fusion by humans