Projects

An algorithm uses camera imagery to estimate visibility for pilots flying in remote areas that lack weather sensors.

Teaming autonomous ground and aerial vehicles improves autonomous off-road military missions.

A new approach to materials discovery aims to expedite the process of deploying new materials for specific mission needs.

We are using reinforcement learning to train artificial intelligence to team with humans and carry out complex military operations.

We are building an open-source toolbox to help researchers more easily design, evaluate, and monitor artificial intelligence (AI) systems.

Robust, trustworthy, and safe machine learning algorithms that operate in resource-constrained environments will improve missile defense and other target recognition and mission planning systems.

Powered by our automatic speech recognition technology, the Networked Pronunciation Feedback (NetProF) software application helps students practice pronunciation in foreign languages.

 We are developing deep learning  models  to analyze tornadic precursors in order to enhance real-time tornado prediction.   

We are developing tools to enhance the explainability of artificial intelligence (AI) systems for improved human-AI collaboration.

We developed new distributed coordination algorithms for deploying multiple autonomous systems from a single set of operator commands.