Research @ UVA Engineering
Engineering for the Cyber FutureOur 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.
Research Area
Advanced and Secure Computing Cyber-Physical and Autonomous Systems Human Technology Interaction Data Science, AI/ML and Simulation
Yen-Ling Kuo

James H. Lambert

Jundong Li

Li's research interests are generally in AI, Data Mining, and Machine Learning. As a result of his research work, he has published over 150 papers in high-impact venues. He has won several prestigious awards, and his work is supported by NSF, DOE, ONR, JP Morgan, Netflix, Cisco, and Snap.
Wei-Kai Lin

I am interested in Cryptography, Algorithms, and in general Theoretical Computer Science. My current research focuses on accessing large data efficiently and privately. My results cover Oblivious Random Access Machines (RAM), Private Information Retrieval, and Fully Homomorphic Encryption for RAM programs.
Zhen (Leo) Liu

Jennifer Mason Lobo

Jennifer Lobo's research involves mathematical modeling and stochastic optimization methods to build models that simulate the course of disease. Current projects include optimizing treatment for patients with type 2 diabetes, validating infrastructure decisions for rural tele-cystoscopy clinics, and developing guidelines for small renal masses.
Madhav Marathe


Henning S. Mortveit

Henning Mortveit is an associate professor in the Biocomplexity Institute Initiative. He received his doctorate in mathematics from the Norwegian University of Science and Technology in 2000. Before joining ESE he held positions at the Los Alamos National Laboratory and at Virginia Tech.
Denis Nekipelov

My research interests are generally in operations research and, more specifically, in stochastic models and stochastic dynamic programming applied to healthcare. My research is in data-driven models for improving decision-making in cardiovascular disease, cancer, mental health, and substance abuse.
UVA Engineering is a vibrant, collegial environment in which to work and teach.
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