Projects

This software program helps disaster responders extract actionable information from post-disaster aerial images.

This machine learning model will help military and hospital personnel predict when servicemembers and patients may recover following an injury or surgery.

A strategy for lessening wind turbines’ effects on the performance of an aircraft measurement system at a naval air station on the Chesapeake Bay could inform future research into interference mitigation for other radar applications.

New waveforms enable efficient spectrum sharing between radars sensing moving objects and wireless communications systems transmitting data.

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.