Scott Kersey, Ph.D.
Professor of Mathematics
Dr. Kersey’s works in the areas of Approximation Theory and Computational Science with expertise in Splines. His current research involves the Approximation and Optimization of functions by B-Spline Quasi-Interpolants on Tensor Product and Sparse Grids. He is also interested in the Mathematics of Curves and Surfaces, and in Machine Learning. In his Numerical Analysis class, students learn about Matrix Factorizations (SVD, QR) and other tools which apply to topics such as Image Compression, Principal Component Analysis, Classification, Least Squares and Spline fitting. Dr. Kersey also maintains a LaTeX Thesis Template used by our Graduate Students.
Work History
- Professor of Mathematics, GSU, 2018-Present
- Associate Professor of Mathematics, GSU, 2009-2018
- Assistant Professor of Mathematics, GSU, 2003-2008
- Visiting Assistant Professor, Case Western Reserve University, 1999-2003
Education
- Ph.D in Mathematics, University of Wisconsin, 1999
Recent Courses
- Math 1441, 2242, 2243: Calculus I, II and III
- Math 2160: Elementary Linear Algebra
- Math 3230: Ordinary Differential Equations
- Math 7231: Advanced Numerical Analysis
Links
Last updated: 1/5/2024