Computer Science

Nikos Sidiropoulos headshot
Engineering

UVA Electrical Engineer Nikos Sidiropoulos Wins IEEE Fourier Award, Among Signal Processing’s Highest Honors

UVA Professor Nikolaos Sidiropoulos has won the 2027 IEEE Fourier Award for Signal Processing, honoring his contributions to algebraic signal processing and tensor decomposition. His research underpins recommender systems, wireless connectivity and medical imaging technologies, cementing his reputation as a leading figure who bridges theoretical mathematics with real-world engineering applications worldwide.

Chen Chen headshot
Artificial Intelligence

Chen’s NSF CAREER Award Supports UVA Engineering Artificial Intelligence Research to Better Forecast Infectious Disease Epidemics

UVA computer scientist Chen Chen has earned a five-year, $600,000 NSF CAREER Award to build next-generation AI tools for epidemic intelligence. Combining case reports, wastewater data and mobility patterns, her research aims to improve disease forecasting, guide public health interventions, strengthen surveillance strategies, and eventually help communities understand local infection risks.

A car is driving by with an automatic license plate reader reading its plate.
Artificial Intelligence

Can Flock Cameras Ever Be Trusted? An Ethical Hacker Weighs In

UVA cybersecurity expert Daniel Graham examines the privacy risks of Flock license plate readers, explaining how connected camera networks enable warrantless mass surveillance. He compares safeguards used for cell-site data under Carpenter v. United States, discusses real misuse cases, and outlines what technical fixes and policy changes could make these systems trustworthy.

Yu Meng headshot
Artificial Intelligence

For AI to Advance, We Need Better Ways to Harness Imperfect Data. UVA Engineering’s Yu Meng Could Help.

UVA Engineering’s Yu Meng has won a five-year, $769,711 NSF CAREER Award to develop AI systems that learn effectively from imperfect, incomplete or inconsistently labeled data. His “weak supervision” research could transform fields like healthcare and finance while reducing costly manual data annotation, with findings integrated into new curricula and K-12 outreach programs.