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 the optimal adaptive allocation of measurement effort for identifying the
best among a finite set of options or designs. An experimenter sequentially chooses designs …

With the increasing demand for electric vehicles, the interest in battery systems is growing. In
order to enable safe operation of these complex energy storage systems, methods of fault …

Millimeter wave (mmWave) communication with large antenna arrays is a promising
technique to enable extremely high data rates due to large available bandwidth in mmWave …

This paper considers a problem of distributed hypothesis testing over a network. Individual
nodes in a network receive noisy local (private) observations whose distribution is …

We study the information-theoretic limits of joint communication and sensing when the
sensing task is modeled as the estimation of a discrete channel state fixed during the …

One of the central problems in computer vision is the detection of semantically important
objects and the estimation of their pose. Most of the work in object detection has been based …

The problem of detecting a single anomalous process among a finite number M of
processes is considered. At each time, a subset of the processes can be observed, and the …

An active inference problem of detecting anomalies among heterogeneous processes is
considered. At each time, a subset of processes can be probed. The objective is to design a …

Optimal information gathering is a central challenge in machine learning and science in
general. A common objective that quantifies the usefulness of observations is Shannon's …