Dr. Carlo Cafaro, SUNY Poly applied mathematics assistant professor, collaborated with Dr. Kushani De Silva, postdoctoral researcher in mathematics at Iowa State University, and Dr. Adom Giffin, principal scientist at the Naval Nuclear Laboratory in Schenectady, on an applied mathematics work published in Entropy by MDPI (Multidisciplinary Digital Publishing Institute).

The research paper, “Gradient profile estimation using exponential cubic spline smoothing in a Bayesian framework,” proposes an alternative and efficient method of estimating gradient profiles from noisy data sets by employing Bayesian inference methods.

The team’s published research can be read here:
Abstract: https://www.mdpi.com/1099-4300/23/6/674
PDF Version: https://www.mdpi.com/1099-4300/23/6/674/pdf