Shaurya Swami
PhD student, Department of Computer Science
Graduate Fellow, Gund Institute for Environment
Department of Computer Science
Gund Institute for Environment
Areas of expertise
AI for water systems, machine & deep learning, water quality forecasting, time series modeling, environmental decision support
BIO
Shaurya Swami is a PhD student in Computer Science at the University of Vermont and a Graduate Fellow with the Gund Institute for Environment. His research applies machine learning and deep learning to forecast turbidity and other water quality indicators in river and reservoir systems, supporting reliable, data driven decision making for drinking water protection and watershed management. His work emphasizes trustworthy and interpretable AI approaches that help translate complex environmental data for water resource stakeholders.
Advisors: Dr. Donna Rizzo & Dr. Kristen Underwood
Bio
Shaurya Swami is a PhD student in Computer Science at the University of Vermont and a Graduate Fellow with the Gund Institute for Environment. His research applies machine learning and deep learning to forecast turbidity and other water quality indicators in river and reservoir systems, supporting reliable, data driven decision making for drinking water protection and watershed management. His work emphasizes trustworthy and interpretable AI approaches that help translate complex environmental data for water resource stakeholders.
Advisors: Dr. Donna Rizzo & Dr. Kristen Underwood