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

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

Study offers models for preserving the privacy of citizens while using their data to improve government services.

Algorithm designs optimized machine-learning models up to 200 times faster than traditional methods.

New platform acts as a gatekeeper to ensure web services adhere to a user’s custom data restrictions.

Device made from flexible, inexpensive materials could power large-area electronics, wearables, medical devices, and more.

Merging different types of location-stamped data can make it easier to discern users’ identities, even when the data is anonymized.

System that automatically identifies people moving around indoors could enable self-adjusting homes.