Projects

By compiling lightning data, satellite imagery, and numerical weather models, the GSWR provides radar-like analyses and forecasts over regions not observed by actual weather radars.

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

A method to identify individuals by their gait, at a distance and in low-light conditions, combines infrared imagery and neural network–based pose estimation.

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 predictive models of shoreline evolution, with the goal of improving coastal resilience to sea level rise.

We are developing a sensor network to improve our understanding and monitoring of sea ice breakup in the rapidly changing Arctic region.

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

Psychological disorders have been shown to impact speech patterns. The PTSD screening tool will be able to detect these patterns and therefore inform military healthcare monitoring.