The University of Richmond's computer science program offers students a framework for understanding computer technology and its mathematical foundations.
Congratulations to Becca Funke, '16, winner of a Goldwater Scholarship for next year.
Tyler Barnett, '15, and Erin Gibbons, '15, were awarded the Joseph and Mary C. Kent Computer Science Prize for most outstanding graduating CS majors.
Amy Shick, '16, was awarded the Outstanding Student in Computer Science Award for 2014-15.
Marie Fernandez, Erica Fitchett, Ling Qiu, and Amy Shick attended CAPWIC at JMU in February. Amy was awarded first prize for undergraduate poster presentations and received a $1,000 scholarship to attend the Grace Hopper Celebration for Women in Computing this fall.
Georgi Lekov is currently conducting independent study research in group dynamics in swarm robot systems. He is journaling his progress in a blog.
In physics professor Matt Trawick's lab, students like Greg Hamilton, '17, are honing their research skills
Passionate computer science major kicks off career as software engineer for Google
Computer science senior combines classroom learning with real-world experience at Google
Senior and alumna's shared interests in computational biology leads to summer research at Princeton
75 students presented summer research, alumna spoke of own undergraduate research experience
- Distinguished Educator Award
Dr. Barry Lawson was named a 2014 University of Richmond Distinguished Educator.
- Shaw Publishes Article
Dr. Kelly Shaw and two coauthors published "MRPB: Memory Request Prioritization for Massively Parallel Processors" in the 20th IEEE International Symposium on High Performance Computing (HPCA), Feb. 2014.
- Research Featured in Richmond Times-Dispatch
The Richmond Times-Dispatch published an article on Dr. Lewis Barnett's research working to determine if a computer can be programmed to identify a certain species or a single bird among other similar-looking birds.
- Charlesworth Paper Accepted
Dr. Arthur Charlesworth's paper, "The Comprehensibility Theorem and the Foundations of Artificial Intelligence," was recently accepted to appear in Minds and Machines: journal for artificial intelligence, philosophy and cognitive sciences, Vol. 25.