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Interdisciplinary NSF Grant Awarded for Development of High Powered Computing Wind Pattern Analytic Software

A team of four faculty from different disciplines has received $500,000 over three years from the National Science Foundation’s Division of Advanced Cyberinfrastructure, Software Infrastructure for Sustained Innovation Program.

Led by Inanc Senocak (Associate Professor of Mechanical and Biomedical Engineering), the team includes Computer Science Assistant Professor Elena Sherman and Grady Wright and Donna Calhoun from the Department of Mathematics.

The grant will fund development of open-source software to help predict wind patterns and determine optimal placement of wind turbines in complex terrain such as forested mountains, hills and seaside cliffs where math, physics, and computing has a harder time plotting these calculations.