We are an academic research initiative focused on integrating advanced weather sensing, machine learning, and resilient communications to enable real-time environmental intelligence. We integrate and connect advanced microwave, visible, and infrared sensing platforms and develop AI-driven analysis frameworks to improve observational capabilities and operational decision support across research and applied settings.
Six core areas spanning ground-based and spaceborne sensing, cloud microphysics, and adaptive cyberinfrastructure for atmospheric science.
"If you can't measure it, you can't improve it."— Lord Kelvin
SUNY Empire Innovation Professor at SoMAS, Stony Brook University. Joint appointment at Brookhaven National Laboratory. Author of more than 230 peer-reviewed publications.
State-of-the-art radar systems across multiple bands and scanning architectures.