Covering formulation, algorithms, and structural results, and linking theory to real-world
applications in controlled sensing (including social learning, adaptive radars and sequential …

This paper considers models and algorithms for interactive sensing in social networks in
which individuals act as sensors and the information exchange between individuals is …

The problem of multiple hypothesis testing with observation control is considered in both
fixed sample size and sequential settings. In the fixed sample size setting, for binary …

We address the problem of controlling a mobile robot to explore a partially known
environment. The robot's objective is the maximization of the amount of information collected …

Partially observable Markov decision processes (POMDPs) provide a principled framework
for modeling an agent's decision-making problem when the agent needs to consider noisy …

Multimodal biometric technology provides potential solutions for continuous user-to-device
authentication in high-security mobile ad hoc networks (MANETs). This paper studies …

How do local agents and global decision makers interact in statistical signal processing
problems where autonomous decisions need to be made? When individual agents possess …

Continuous user authentication is an important prevention-based approach to protect high
security mobile ad-hoc networks (MANETs). On the other hand, intrusion detection systems …

This article considers the sensor scheduling for multiple dynamic processes. We consider n
linear dynamic processes. The state of each process is measured by a sensor, which …

We consider an inverse reinforcement learning problem involving “us” versus an “enemy”
radar equipped with a Bayesian tracker. By observing the emissions of the enemy radar …