Graduating College of Science seniors and research collaborators Aimee Maurais has been named the 2019 Outstanding Senior in the College of Science and Arianna Krinos has won the 2019 College of Science Senior Undergraduate Research Award.
According to the "Checklist Manifesto," the New York Times bestseller by Atul Gawande, professionals who do highly technical work use checklists to guard against making avoidable mistakes. Virginia Tech researchers, in collaboration with Manhattan-based web design startup B12, took Gawande’s concept and applied it to web design.
A team of researchers in the Department of Computer Science in Virginia Tech’s College of Engineering is helping supercomputers to work more efficiently in a novel way, using machine learning to properly distribute, or load balance, data processing tasks across the thousands of servers that comprise a supercomputer.
Virginia Tech researchers and students will have direct access to IBM Q’s most-advanced quantum computing systems for research projects that advance quantum science, exploring early uses of quantum computing, and for teaching.
While other research focuses almost exclusively on situations where group identities of users are known, Bert Huang, professor of computer science and a faculty member at the Discovery Analytics Center, and Ph.D. student Sirui Yao look at settings where they do not know, or do not trust, information about who belongs to what groups.
An online interactive platform developed at the Discovery Analytics Center uses data analytics and machine learning to help stakeholders better understand school rezoning plans and potential effects on the community. Users can also share comments and concerns about proposed plans, propose changes to boundaries, and even create their own plans.
Researchers Lisa Belden, David Haak, T.M. Murali, and Richard Fell from Virginia Tech and Jenifer Walke from Eastern Washington University are collaborating to study the critical role of the honey bee gut microbiome in health and defense against parasites using a systems biology framework.