Faculty

Homa Alemzadeh is an Assistant Professor in the Department of Electrical and Computer Engineering and Computer Science at UVA. She is also affiliated with the UVA Link Lab, a multi-disciplinary center for research and education in Cyber-Physical Systems (CPS). Before joining UVA, she was a Research Staff Member at the IBM TJ Watson Research Center.

Panagiotis Apostolellis is a full-time Associate Professor in the Computer Science Department at the University of Virginia. He received his PhD in Computer Science & Applications from Virginia Tech in 2017.

Christopher L. Barrett is the inaugural Distinguished Professor in Biocomplexity, Executive Director of the Biocomplexity Institute, and Professor in the Department of Computer Science at the University of Virginia. He is an interdisciplinary computational scientist who has published more than 100 research articles.

Nada Basit is a full-time Associate Professor in the Computer Science Department at the University of Virginia. She received her PhD in Computer Science from George Mason University. Her passion is teaching, and she has taught undergraduate and graduate courses in CS. Her research interests are in Computer Science education and Machine Learning.

Dr. Madhur Behl is an Associate Professor in the Department of Computer Science, and an Amazon Scholar
He conducts research in Robotics and Artificial Intelligence, and is the founder and team principal of UVA's Cavalier Autonomous Racing team.

Aaron Bloomfield is a professor who joined the department of Computer Science in 2004. He earned his Ph.D. in Computer and Information Science at the University of Pennsylvania. His research focuses on computer science education, specializing in assessment systems and systems to expedite grading while increasing it's efficacy.

Brad is a faculty member in the Computer Science Department, the Electrical & Computer Engineering Department, and the Link Lab. His group researchers and develops the next generation of low power, wireless, and secure Internet of Things systems to help make buildings and cities more sustainable.

Rohan Chandra is an Assistant Professor in the Department of Computer Science at the University of Virginia. His research interests include multi-robot navigation, human-robot interaction, and autonomous driving. The overarching goal of his robotics lab is to design algorithms and systems that enable robots to navigate among humans, like humans.

Chen Chen is an Assistant Professor in the Computer Science Department at the University of Virginia. Before that, she was a Research Assistant Professor at Biocomplexity Institute at UVA and a software engineer at Google.

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. 

Jack W. Davidson is a Professor of Computer Science at UVA. He joined in 1981 after receiving his Ph.D. in Computer Science from the University of Arizona. His research interests include compilers, computer security, programming languages, computer architecture, and embedded systems. He is the principal investigator on several ongoing grants.

Afsaneh Doryab's research is at the intersection of ubiquitous computing, AI, HCI, and health. She works on computational modeling of human behavior (incl. Activity Recognition) from data streams collected via mobile, wearable, and embedded sensors. 

Her research lies at the intersection of computer hardware and software with a particular focus on support for parallelism.

Matthew B. Dwyer is the Robert Thomson Distinguished Professor in the Department of Computer Science at the University of Virginia.

Sebastian Elbaum is a Professor in the Department of Computer Science at the University of Virginia. His research aims to build dependable systems through domain-specific analysis techniques.  He is an ACM Fellow and an IEEE Fellow. I am a founding member of the LESS Lab.  

For information about me and my research, please see my web page and research group blog.

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

Geoffrey C. Fox received a Ph.D. in Theoretical Physics from Cambridge University, where he was Senior Wrangler. He is now a Professor in the Biocomplexity Institute & Initiative and Computer Science Department at the University of Virginia, and is currently active in the Industry consortium MLCommons/MLPerf.

Books:

1. Ethical Hacking: A Hands-on Introduction to Breaking In

2. Metasploit 2nd Edition: The Pentetration Tester's Guide

Wajih Ul Hassan is an Assistant Professor in the Department of Computer Science at the University of Virginia. He received his Ph.D. in Computer Science from the University of Illinois Urbana-Champaign in 2021. His research interests are broadly in systems security, threat detection, and forensic investigation

After growing up in Tennessee and completing my PhD in Scotland, I taught for 13 years at Florida Atlantic University.

His research interests lie in the broad area of computer architecture and systems. Jog's research has consistently been published at premier IEEE/ACM computer systems and architecture venues and funded by several agencies such as NSF and Google. He is a senior member of both IEEE and ACM.

Hyojoon Kim serves as an Assistant Professor in the Department of Computer Science at the University of Virginia. His research interests lie in computer networks and distributed networked systems, with a specific focus on in-network computing, programmable networks, software-defined networking, network measurement, and network security.

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.

Felix Xiaozhu Lin joined the Department of Computer Science as an associate professor in August 2020. Prior to his appointment at UVA Engineering, Lin was a tenured associate professor in the School of Electrical and Computer Engineering at Purdue University.

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.

Chang Lou is a tenure-track assistant professor in Department of Computer Science at University of Virginia. His research interests are distributed systems, operating systems, and cloud computing. His work centers on improving system reliability and availability. 

A university educator with over 20 years experience, Prof. Morrison researches Computing Education by exploring cognitive load theory within programming and broadening participation in computing. She has a PhD in Human-Centered Computing from Georgia Tech, a master's in CS, and a BS in Computer Engineering. Director of Computing Education Center.

Angela Orebaugh is an Associate Professor in the Engineering School's Computer Science Department. Her teaching and research blends keeping us safe and secure in the cyber world with a passion for promoting mindful, intentional, engagement with technology.

Raymond Pettit's interests include Metacognition in Novice Programmers, Gender Issues in CS Courses, Automated Assessment Tools for Programming, Programming Error Messages, CS1, CS2, and Programming Languages

Charles Reiss is an Assistant Professor, specializing in computer systems-related topics.Before joining UVa, he received in PhD from Berkeley, developing systems to analyze memory requirements in analytics systems like Apache Spark.

Research interests include:

Computer Science Education, Computer Science Systems.

Dr. Daniel J. Rosenkrantz is a Distinguished Institute Professor with the Biocomplexity Institute and Initiative at the University of Virginia. He has made fundamental contributions to many areas of computer science including formal languages, theory of computation, etc and is listed in notable “Who’s Who” lists for his many scientific achievements

Before joining UVA as an Associate Professor in 2016, Haiying Shen received her B.S. degree from Tongji University, China in 2000, and her M.S. and Ph.D. degrees from Wayne State University in 2004 and 2006. In addition to teaching, she is an Associate Editor for the IEEE/ACM Transactions on Networking (TON) and the IEEE Networking Letters (NL).

Prof. Sherriff serves as Associate Department Chair and Director of the BSCS degree program. Teaching Interests: Software Engineering, Computer Game Design, Mobile Application Development.  Research Interests: CS Education, Scholarship of Teaching and Learning, Game Design and Gamification

Kevin Skadron's research interests cover a wide range of Computer Architecture topics, including hardware acceleration, memory architecture and processing in and near memory (PIM/PNM), automata and pattern-matching/regular-expression acceleration, and hardware support for debugging.
 

With love for the art of programming and three decades of industry experience in software engineering, I am interested in helping students understand theory and implementation.

Kevin Sullivan obtained his background in computer science from Tufts University (1987), working most closely with David Krumme, and in graduate school at the University of Washington, working with David Notkin (MS, 1994, PhD, 1994).

Ashish Venkat is an Assistant Professor in the Department of Computer Science at the University of Virginia, where he joined after obtaining a Ph.D. from UC San Diego. His work has been published at top-tier venues such as ISCA, MICRO, ASPLOS, HPCA, IEEE S&P, and USENIX Security, and has received funding from NSF, DARPA, SRC, and Inte

Anil Vullikanti is a Professor in the Department of Computer Science and the Biocomplexity Institute. His research interests are randomized algorithms, combinatorial optimization, distributed computing, dynamical systems and network science, machine learning, and AI, and their applications to epidemiology, public health, and modeling.

I completed my Ph.D. at University of Texas at Austin under the supervision of Sarfraz Khurshid. During my Ph.D., I also closely collaborated with Kenneth McMillan and Darko Marinov. Prior to my Ph.D., I earned an MPhil (a research master's degree) from University of Melbourne, where I was supervised by Harald Søndergaard and Peter J. Stuckey.

Chen-Yu Wei is an Assistant Professor in the Computer Science department at the University of Virginia. Previously, he was a Postdoctoral Associate at Massachusetts Institute of Technology and a Research Fellow at the Simons Institute. His research focuses on fundamental problems in interactive decision making and reinforcement learning.

Matheus is an Assistant Professor of Computer Science at the University of Virginia. His research interests include AI, Algorithmic Economics, and Security. He applies artificial intelligence, optimization, and theoretical computer science tools to create secure, transparent, and auditable platforms.

Zhe Zeng is an assistant professor in the Department of Computer Science. Her research interests lie broadly in artificial intelligence and machine learning with a focus on neurosymbolic AI and probabilistic ML. 

Professor Zhang completed her PhD in computer science at the University of Utah. She was a postdoctoral associate in the Computer Science and Artificial Intelligence Laboratory (CSAIL) at the Massachusetts Institute of Technology.

Aidong Zhang's research focuses on developing machine learning approaches to interpretable and fair learning, concept-based learning, federated learning, and generative AI  and applications to medicine. She also works on large language models for hypothesis generations for scientific discovery.