Data Sciences and Machine Intelligence

Computer science assistant professor Madhur Behl urges patience and data transparency as driverless cars are deployed in the real world.

UVA Researchers Partner with J. P. Morgan Chase to Improve Algorithms’ Processes for Evaluating Consumers’ Credit-Worthiness

Fairness-aware AI research can explain how a policy affects different users and inform policies and consumer education programs.

Q&A with Scott Acton, New Chair of UVA’s Department of Electrical and Computer Engineering

Acton's knowledge of the research enterprise and dedication to creating a meaningful student experience positions UVA Engineering for continued growth.

UVA Researcher to Develop New Models and Algorithms for Efficient and Accurate Data Compression and Analysis

Farzad Farnoud leads the information processing and storage lab, whose members solve problems at the intersection of information theory, computational biology and machine learning.

Cong Shen's Research Will Boost Privacy Protection and Performance of Machine-learning Models that Drive the Internet of Things

Working in partnership with industry, Shen's machine-learning models can be prototyped, standardized and integrated into real systems.

Jundong Li's Research Aims to Improve Machines’ Recommendations and Predictions Based on Cause and Effect

Li’s models will generate deeper insights into observational data to help people make better decisions.

Donald E. Brown, W.S. Calcott Professor in the Department of Engineering Systems and Environment, and Dr. Sana Syed, a UVA Health pediatric gastroenterologist, are using deep learning methods in their quest to improve patient outcomes.

Researchers at the University of Tokyo and University of Virginia find an early and treatable indicator of blood clotting in COVID-19 patients

The technology generates data within a matter of hours to determine patients at risk for micro thrombosis-related issues.

On Saturday, Oct. 23, a team of UVA Engineering students led by computer science assistant professor Madhur Behl will compete in the first Indy Autonomous Challenge, which will be livestreamed from the track starting at 1:00 p.m.