معرفی
Divine Wanduku is an Associate Professor in the Department of Mathematical Sciences at Georgia Southern University, where he joined in 2015. He also serves as a Mathematical Sciences Affiliate at the James H. Oliver, Jr., Institute for Coastal Plain Science. His academic journey includes degrees from the University of Buea (B.S. and M.S. in Mathematics) and the University of South Florida (M.A. in Statistics and Ph.D. in Mathematics).
His research spans applied mathematics, statistics, and probability theory with a focus on stochastic analysis and epidemic modeling. Prof. Wanduku develops sophisticated mathematical models for infectious diseases including malaria, HIV/AIDS, and influenza, as well as models for rumor propagation in social networks. His work contributes to understanding disease dynamics through stochastic processes, renewal theory, and complex network analysis.
Prof. Wanduku's publication record shows consistent productivity with 84 research outputs. His recent work (2021-2025) demonstrates expertise in developing new statistical distributions, refining epidemic models with renewal processes instead of exponential assumptions, and analyzing complex social network dynamics. The research shows a clear trajectory toward increasingly sophisticated models that better capture real-world complexities of disease transmission and social phenomena.
Prof. Wanduku has received research funding from the US Army Research Office through Mathematical Science Division Grants. His editorial work includes serving as Associate Editor for journals such as Fractal and Fractional and Stochastic Analysis and Applications, demonstrating recognition within his academic community.
Students working with Prof. Wanduku would engage in research at the intersection of mathematics, statistics, and public health. His lab focuses on developing and analyzing stochastic models for epidemic processes, with applications to real-world disease control and prevention strategies. The research environment emphasizes both theoretical development and practical applications of mathematical models.