Projects
Machine Learning in Resource-Constrained Environments
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.
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Compact Optical Trapped-Ion Array Clock
Optical atomic clocks are the most accurate in the world, but they are very large, sensitive instruments. We are transforming the complex components of these clocks into a compact, portable platform.
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Low-Cost Localization Using Distributed Adaptable-Response Transponders
A deployable navigation network of small, low-cost radio transponders can help track the locations of first responders during rescue operations.
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Green Instrumentation and Experimentation
We are innovating and accelerating solutions to address AI's carbon footprint and reduce data center energy usage.
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Intelligent Tornado Prediction Engine
We compiled a massive open-source dataset to develop deep learning models capable of detecting and predicting tornadoes.
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Arctic Climate Change Detection Network
We are developing a sensor network to improve our understanding and monitoring of sea ice breakup in the rapidly changing Arctic region.
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Methane Detection Study
We are investigating the use of novel imaging technologies for detecting and quantifying methane emissions in the atmosphere.
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Climate Resilience Early Warning System Network
We are creating proactive, integrated decision -support tools and services that empower frontline communities to prepare for climate impacts and minimize losses.
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Explainable Artificial Intelligence for Decision Support
We are developing tools to enhance the explainability of artificial intelligence (AI) systems for improved human-AI collaboration.
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Coordinating Teams of Autonomous Systems
We developed new distributed coordination algorithms for deploying multiple autonomous systems from a single set of operator commands.
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