UVA Engineering has strength in artificial intelligence research and education: both core AI development and advanced AI applications. AI research areas are connected to all programs, involving more than 50 faculty researchers and offering student research opportunities.
Biomedical engineering professor Silvia Blemker and her partners were recognized for FDA-approved AI-based technology that keeps athletes playing and offers help to some muscular dystrophy patients.
ECE chair Scott Acton’s AI-powered video analysis technology can help teachers improve performance.
UVA develops Python-based tool using CDT for faster, accurate signal classification, enabling robust AI applications in healthcare and engineering.
Large language models may need a more sophisticated way to test for potential leakiness of sensitive information.
UVA Engineering advancement protects public health by improving air quality monitoring in real time.
UVA researchers use AI to manage the growing complexity of modern power grids.
The researchers' new approach uses machine learning to identify defects that would otherwise go unspotted by human review of micrograph images.
AI-powered models offer faster, real-time flood forecasts for Hampton Roads.
Scott T. Acton and a team of researchers develop an AI-driven video analyzer capable of detecting human actions in video footage with unprecedented precision and intelligence.
Cindy Chang and her team have created a more efficient way to optimize manufacturing systems, improving speed and quality while reducing waste.
What were the keys to UVA's impressive showing at this fall's Indy Autonomous Challenge? A mathematical tweak to the vehicle dynamics and a new car-detection algorithm that learns from its mistakes.
Assistant professor Yu Meng’s research on superintelligent systems looks to prepare researchers for the future of artificial intelligence.
With support from NSF, UVA Engineering researchers will democratize access to crucial AI training for high schoolers.
Silvia Salinas Blemker received the Goel Award for Translational Research for her body of work in biomedical engineering.
UVA computer scientist Yen-Ling Kuo is developing artificial intelligence to make your car a trusted partner and coach.
The professor behind 5G wireless innovations, data-driven recommendations and MRIs.
Miaomiao Zhang is improving AI image processing and analysis for real-world applications such as medical diagnoses and environmental monitoring.
UVA’s autonomous race car is reshaping not just the racetrack but the future of AI and robotics.
Reimagining Alexa and Siri’s sensors for helping with patient communication.
Fairness-aware AI research can explain how a policy affects different users and inform policies and consumer education programs.
UVA Health and UVA Engineering researchers have developed a powerful new risk assessment tool for predicting outcomes in heart failure patients.
This UVA researcher is laying the foundation for better trust between humans and robots, with help from an Air Force Office of Scientific Research grant.
Machine learning changed health care by making sense of biological data, but for UVA Engineering’s Aidong Zhang, that’s only part of understanding disease risk and treatments.
A UVA Engineering team has developed a new analytical tool that uses AI to explore genes that could be targets for new treatments.
Program provides platforms and guidance to students at higher education institutions with artificial intelligence engineering programs training.
With machine learning and human learning, scientists uncover the biological cause and effect of fibroblast behaviors after heart attack and advanced the development of new treatments.
Lee's vision for biomimicking sensor systems presents a complete story from materials to integration to application.
Zhang's goal is to develop advanced machine learning and artificial intelligence techniques to analyze cine magnetic resonance imaging, an MRI procedure that visualizes the heart muscle in action.
How digital twins and other AI developments are impacting access to diagnosis and treatments in Alzheimer's diseases.
Working in partnership with industry, Shen's machine-learning models can be prototyped, standardized and integrated into real systems.
Li’s models will generate deeper insights into observational data to help people make better decisions.
David Evans, professor of computer science in the University of Virginia School of Engineering and Applied Science, is leading research to understand how machine learning models can be compromised.
Yanjun Qi builds artificial intelligence tools that have the power to turn biomedical data into better medicine.
Researchers at UVA Biocomplexity Institute are founding partners of a national research institute that will develop artificial intelligence-driven solutions for some of agriculture’s biggest problems.
Cavalier Autonomous Racing built an artificial intelligence-driven vehicle for the world's first high-speed autonomous vehicle race.
A $1.5 million grant from the National Science Foundation’s ASCENT program supports UVA and Penn State researchers pursuing a new hardware platform.
Our department is advancing the state of the art in both fundamental algorithms as well as new algorithms to help users benefit from this revolution and provide new capabilities for the benefit of society.
The Office of Communications is charged with keeping all stakeholders well informed about the School's mission, vision, activities, progress and achievements.
