Rate My Professor Scott Kersey

Kersey's academic interests center on approximation theory, particularly spline functions, near-interpolation, dual bases, and sparse grids, alongside numerical analysis, computational mathematics, computer-aided geometric design, applications in machine and statistical learning, high-dimensional data analytics, and the development of open educational resources. His scholarly output includes peer-reviewed articles such as "Approximation of multivariate functions on sparse grids by Kernel-based Quasi-interpolation" with B. Jeong and J. Yoon (SIAM Journal on Scientific Computing, 2021), "Spline Approximation on Sparse Grids" with C. Ehirim (2024), and "Application of Sparse Grids to Approximation and Optimization" (2026). Additionally, he has published studies on the effectiveness of open educational resources in college calculus (2019) and co-authored open textbooks like Calculus I (GA Southern) and Introduction to Statistics (GA Southern). Garnering over 500 citations on Google Scholar, his research impacts key areas in computational and applied mathematics. Kersey has served as principal investigator for funded projects, including the Affordable Learning Georgia Transformation Grant with co-PI Stephen Carden and an NSF SBIR Phase II grant on indoor air contaminant oxidation. He actively contributes to the university through the Statistical Consulting Unit, administration of the WeBWorK server for undergraduate mathematics courses, and maintenance of LaTeX thesis templates for graduate students.