Welcome to the MGHPCC Virtual Booth

University of Massachusetts


Center for Scientific Computing and Visualization Research (CSCVR)

A sample of the applications areas the CSCVR affiliates innovate in.

The mission of the Center for Scientific Computing and Visualization Research (CSCVR) at UMass Dartmouth is to promote and conduct high-level interdisciplinary and multidisciplinary research in scientific computing, and to mentor students in a supportive, broad, and deep interdisciplinary research environment. Our affiliates develop and use computational algorithms to simulate complex physical problems. The CSCVR supports and advertises the activities of the scientific computing group, over two dozen researchers from a variety of departments including biology, chemistry, computer science, civil, electrical, and mechanical engineering, fisheries, mathematics, and physics.

Sigal Gottlieb
Sigal Gottlieb is a Chancellor Professor of Mathematics and founding co-Director of the Center for Scientific Computing and Visualization Research at UMass Dartmouth. Sigal graduated from the Division of Applied Mathematics at Brown University (ScB'93, ScM'95, PhD'98). Her research interests include numerical analysis and scientific computing.
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Featured projects

Air Force Arcade
Airborne Optical Systems Test Bed (AOSTB)
Black Hole Initiative
Center for Scientific Computing and Visualization Research (CSCVR)
Data Centric Low Emission Mobility
Fast Accurate NURBS Optimization (FANO)
Fusarium Pathogenomics: Understanding Fungal Pathogenicity through Genomics
GLEAM: Global Epidemic and Mobility project
Lichtman Lab - Center for Brain Science
Lincoln Laboratory Supercomputing Center (LLSC)
LLSC Articles and Publications
MIT Initiative on the Digital Economy
MIT Laboratory for Financial Engineering
Northeast Cyberteam
Northeastern University and Williams College SC20 Student Cluster Competition Team
Quantum Architectures at Goodwill Computing Lab
Simulating Large Biomolecular Assemblies
The Center for Information and Systems Engineering (CISE)
The Mass Open Cloud and Open Cloud Initiative
Video and Imagery Dataset to Drive Public Safety
Visibility Estimation through Image Analytics (VEIA)
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