Associate Professor Yury Polyanskiy is working to keep data flowing as the “internet of things” becomes a reality.

Using limited data, this automated system predicts a company’s quarterly sales.

Connected devices can now share position information, even in noisy, GPS-denied areas.

L4DC explored an emerging scientific area at the intersection of real-time physical data, machine learning, control theory, and optimization.

Along with studying theory, "it's also important to me that the work we are doing will help to solve real-world problems,” says LIDS student Omer Tanovic.

New approach quickly finds hidden objects in dense point clouds, for use in driverless cars or work spaces with robotic assistants.

Interactive tool lets users see and control how automated model searches work.