Research
Computer Science Research
We are a department with very high research activity housed in a liberal arts institution. Like a large research university, our faculty and their Ph.D. students are actively engaged in research, with undergraduate and master's students encouraged to participate.
We also offer multidisciplinary research opportunities in Computational Science and Computational Operations Research. Some faculty and students participate in joint research activities with two nearby national research facilities: the NASA Langley Research Center (NASA LaRC) and the Thomas Jefferson National Accelerator Facility (Jefferson Lab).
Here's how to get started with research as an undergraduate.
Research Areas
Computer Science faculty research belongs in one or more of the areas listed below:
AI/ML & Data Mining |
Computer Architecture |
Graphics & Visualization |
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• Ashley Gao |
||
High Performance &Scientific Computing |
Human-Computer Interaction |
Security & Privacy |
• Bin Ren • Evgenia Smirni • Andreas Stathopoulos • Yifan Sun |
• Dmitry Evtyushkin • Stephen Herwig • Qun Li • Adwait Nadkarni |
|
Software Engineering |
Systems & Networking |
Theory |
• Oscar Chaparro • Denys Poshyvanyk |
• Jim Deverick |
• Robert Michael Lewis • Weizhen Mao |
Research Funding
Computer Science research is funded by numerous external grants or gifts from agencies such as:
The U.S. National Science Foundation (NSF)The U.S. National Institutes of Health (NIH)
The U.S. Department of Energy (DOE)
The U.S. Department of Defense (DOD)
National Aeronautics and Space Administration (NASA)
The Virginia Space Grant Consortium (VSGC)
The Jeffress Memorial Trust of Virginia
Coastal Virginia Center for Cyber Innovation (COVA CCI)
Industry sponsors (Accenture, Activision, AMD, Cisco, Google, etc.)
Research Impact
We publish in top peer-reviewed journals and conferences in our respective fields. Here is a list of research dissertations and theses written by our graduate (Ph.D. and MS) and undergraduate students.
Dissertations, Theses, and Masters ProjectsUndergraduate Honor Theses
Computing Resources
At a university level, W&M supports a cluster computer for computationally-intensive work. The Department of Computer Science has its own Computing Resources.