Our researchers are not merely reacting to the cyber age, we are catalyzing it. Machine learning, cybersecurity, high performance computing, intelligent memory systems, avalanche photodiodes, ultra-low-power chips: These are just some of the technologies essential to such next-generation projects as the Internet of Things and 100 Gbps Ethernet, and they are just some of the areas in which UVA Engineering holds world-class expertise.
Assistant Professor, Electrical and Computer Engineering
Professor Crockett received a B.S. degree in electrical engineering from the University of Virginia in 2015 and a Ph.D. degree in electrical engineering from the University of Michigan in 2022. Before entering graduate school, she worked in goverment contracting as a systems and image quality engineer. She is a member of IEEE and ASEE.
Chen Cui's current research interests are on spacecraft electric propulsion, space environment, and computational plasma physics. Chen Cui's work focuses on the high-fidelity, fully kinetic modeling of plasma dynamics in spacecraft electric propulsion thrusters, solar wind, and other applications related to low-temperature plasmas.
Associate Professor, Civil and Environmental EngineeringAssociate Chair for Academic Programs
My lifelong love for the outdoors translated directly into the study of environmental and water resource engineering. At UVa, I have the honor of working with a new generation of engineers who will work to create a sustainable future.
Hadi Daneshmand is an Assistant Professor of Computer Science who works at the intersection of theory and practice in AI (machine learning). He leverages analytical tools to uncover the mechanisms underlying AI systems, characterize their limitations, and design reliable and interpretable models. For more information, please see my webpage.
Prior to joining UVA as an Associate Professor in 2012, Dr. Dong was an associate professor of Mechanical Engineering at the Wright State University. He obtained his Ph.D. degree in Aerospace Engineering from UCLA in 2003. After completing his doctorate, he spent three years as a post-doctoral researcher at the George Washington University.
Assistant Professor, Electrical and Computer EngineeringAssistant Professor, Computer Science
Research interests: Information and Coding Theory, Stochastic Modeling, Machine Learning, Bioinformatics Farzad Farnoud is an Assistant Professor in the Electrical and Computer Engineering Department and the Computer Science Department at the University of Virginia. Previously, he was…
Associate Professor, Computer Science, Systems & Information Engineering
Currently Recruiting
Lu Feng is an Associate Professor of Computer Science at the University of Virginia. She is also a member of the Link Lab - the center of research excellence in Cyber-Physical Systems. Her research focuses on assuring the safety and trustworthiness of cyber-physical systems, with…
Nando Fioretto leads UVA's Responsible AI for Science and Engineering (RAISE) group, which advances foundation models for scientific and engineering research and promotes the responsible use of AI. RAISE's mission is to develop AI models grounded in physical and engineering principles, endowing them with a principled understanding of the world
Associate Professor, Electrical and Computer EngineeringAssociate Professor, Computer Science
Tom Fletcher is an associate professor in the Department of Electrical and Computer Engineering as well as the Department of Computer Science. He received his B.A. degree in Mathematics at the University of Virginia in 1999. He received an M.S. in Computer Science in 2002 followed by…
Associate Professor, Academic General Faculty, Teaching Track, Computer Science
I focus on computer science education and the ways in which computing can improve education more generally. I teach core computer science courses (e.g., Data Structures, Algorithms) as well as electives related to my field (e.g., Game Design, Artificial Intelligence, HCI). As a…
Associate ProfessorAssociate Director of Graduate Studies for Recruitment
Currently Recruiting
Jason Forman's research includes the development and biofidelity evaluation of anthropomorphic test devices, the execution of impact biomechanics in simulated automobile environments, the development of injury risk functions with dummies and computational models, analysis for injury risk evaluation, and investigating the effects on injury risk.
