Spotlights from Computer Science in Washington, D.C., Area
Redirect ItemSanghani Center Student Spotlight: Mandar Sharma , redirect
Would you like a virtual assistant that could go through chunks of large reports with pages upon pages of tables and raw numeric data and summarize it all in a short paragraph? This is what Mandar Sharma is trying to accomplish with his Ph.D. research in the area of natural language generation.
Redirect ItemNew master's degree for Innovation Campus , redirect
The master’s of engineering degree in computer science is designed to prepare graduates for mid-level and advanced positions in industries related to computing technology.
Redirect ItemSanghani Center Student Spotlight: Shailik Sarkar , redirect
Growing up in a family that included a doctor and public sector employees, Ph.D. student Shailik Sarkar said it became increasingly evident to him that social, behavioral, and economic factors often influence the physical and mental health patterns of an individual or a group of people. That realization shaped his own decision to focus his research in computer science on exploring how data mining and artificial intelligence can be used to tackle community healthcare problems.
News and Events
Redirect ItemTwelve Virginia Tech faculty join Innovation Campus , redirect
Twelve highly accomplished Virginia Tech faculty experts in computer science and computer engineering have formally affiliated with the Virginia Tech Innovation Campus in Alexandria. This first cohort of Innovation Campus faculty will play a vital role in shaping the new campus by helping to establish key research themes, enhancing the project-based curriculum, and developing the campus governance structure.
General ItemClass Schedule Fall 2022
Classes begin on August 22
Redirect ItemVirginia Tech and Amazon establish machine learning research partnership , redirect
Virginia Tech and Amazon are partnering to advance research and innovation in artificial intelligence and machine learning. The Amazon - Virginia Tech Initiative for Efficient and Robust Machine Learning will include machine learning-focused research projects, doctoral student fellowships, community outreach, and an establishment of a shared advisory board.