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CPS: Wildland Fire Observation, Management, and Evacuation using Intelligent Collaborative Flying and Ground Systems
SWIFT: AI-Enabled Spectrum Coexistence between Active Communications and Passive Radio Services:
NSF STRIDE: Digital Twin-Driven UAV Ignition: Revolutionizing Prescribed Fire Planning for Safer, Smarter Wildfire Prevention
CAREER: Toward Autonomous Decision Making and Coordination in Intelligent Unmanned Aerial Vehicles' Operation in Dynamic Uncertain Remote Areas
CISE-MSI: Adaptive Multi-Tiered, Multi-Task Base Station Infrastructure For Communication-Denied Environments
VIPR-GS: Monitoring and Maintaining Trustworthy Networked Autonomy in a Zero-Trust Environment
VINES: Track 2: O2-RAN: Orbital Open RAN for Non-Terrestrial Networks and Space-Based Edge Computing
CU-SRNL Scholar: Join the Future of Smart Grids: UAV-Driven AI for Power Grid Monitoring and Post-Disaster Recovery
CU MRI: Acquisition of an NVIDIA H200 GPU Cluster for Research in Machine Learning and Scientific Computing
Physically Consistent Wildfire Reanalyses: Fusing Remote Sensing and Coupled Weather-Fire Modeling for Validation, AI Training, and Forecasting,
Digital Twin Integration with Field Sensors and Unmanned Aerial Systems for Near-Real-Time Downlink
Geospatial AI Foundation Modeling for Wildfire Forecasting
VINES: Track 1: FACTORY-AI: AI-Native Industrial IoT Networksfor Smart Manufacturing
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