Projects

With MIT AeroAstro, we are developing forecasts and decision support tools to aid air traffic controllers in avoiding the formation of persistent contrails, which are increasingly considered to have a substantial impact on climate warming.

Deploying large networks of ground-based methane detectors could help detect pipeline leaks, improve climate models, and regulate emission sources.

Large constellations of satellites in low Earth orbit (LEO) allow for unparalleled global coverage but require new networking approaches.

A low-cost, reconfigurable radio receiver architecture provides an alternative approach to filter out unwanted transmissions in millimeter-wave (MMW) signals.

A new type of fiber could transmit the high-power light needed for future deep-space science and exploration missions.

Lincoln Laboratory is exploring the feasibility of building an airborne sensing system to detect the presence of humans under dense tree canopy.

With Alabama A&M University, we are identifying opportunities to apply new remote sensing concepts to improve groundwater measurements and models.  These models can inform decisions related to agriculture, land use, human health and wellness, and geopolitical stability.

We are developing a compact and encapsulated optical salinity sensor to enable more distributed and persistent monitoring of the ocean’s 3D structure.

We are developing a neural network using data derived from satellite measurements of temperature and humidity to improve drought monitoring and forecasting.

New machine learning methods capture statistical features within sonar data to distinguish between sound sources.