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5.08/20/2025

A role model for academic excellence.

5.03/31/2025

Always kind, respectful, and approachable.

4.02/27/2025

Creates a safe and inclusive space.

5.02/4/2025

Your passion for the subject was contagious, and your encouragement helped me grow both academically and personally. Thank you!

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About Nonhle

Nonhle Mdziniso is an Assistant Professor of Applied Mathematics in the School of Mathematics and Statistics, College of Science, at Rochester Institute of Technology. She holds a PhD in Mathematical Sciences with a concentration in Statistics from Central Michigan University, completed in 2018, with a dissertation titled Generalization of the Odd Pareto and Odd Weibull Distributions. Earlier, she earned an MA in Mathematics from Marshall University in 2012, with a thesis on The Quotient of the Beta-Weibull Distribution. Prior to her current role at RIT, Mdziniso served in the Department of Mathematical and Digital Sciences at Bloomsburg University of Pennsylvania. Her research focuses on probability distributions theory and applications, statistical modeling, parametric and nonparametric regression, data mining, and machine learning. She has contributed to the development of new statistical distributions, including the Odd Pareto families for modeling loss payment data published in the Scandinavian Actuarial Journal (2018), Extended Lindley Distribution with applications in Revista Colombiana de Estadística (2022), and the Exponentiated Odd Lindley-X Power Series Class of Distributions: Properties and Applications in Annals of Data Science (2025). Additional key publications encompass Parametric Analysis of Renal Failure Data using the Exponentiated Odd Weibull Distribution in the International Journal of Statistics in Medical Research (2018), Comparison of Three Weibull Extensions in the International Journal of Scientific and Statistical Computing (2020), and Artifact Removal for Physiological Signals via Wavelets presented at the Eighth International Conference on Digital Image Processing (2016).