Projects

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.

New navigation and vehicle autonomy algorithms consider which tasks humans and autonomous systems respectively do best, with the goal of improving search path planning and object classification in underwater environments.

With the goal of enabling navigation in environments where GPS is unavailable or unreliable, researchers are developing algorithms to fuse information across a network of small, low-power radio-frequency devices.

A new approach to materials discovery aims to expedite the process of deploying new materials for specific mission needs.

We are using reinforcement learning to train artificial intelligence to team with humans.