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.

A low-cost technology can increase the number and quality of wind and temperature atmospheric observations made by aircraft to improve forecasts.

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.

These robots can navigate difficult urban disaster terrain to help responders locate and access victims for rescue.

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.