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College of Engineering and Mathematical Sciences

Shaurya Swami

PhD student, Department of Computer Science

Graduate Fellow, Gund Institute for Environment

Shaurya.Swami@uvm.edu
Shaurya Swami
Shaurya.Swami@uvm.edu
Affiliated Department(s)

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