Medical College of GeorgiaMedical College of Georgia
Medical College of Georgia

Biostatistics and Data Science

Olusegun Michael Otunuga, PhD

Assistant Professor
PhD (Applied Mathematics), University of South Florida, 2014

 

CONTACT INFORMATION
(706) 667-4477
room number GE-2018
ootunuga@augusta.edu
Otunuga, PhD
Research

RESEARCH INTEREST

 

Stochastic dynamical systems, analysis and applications; Epidemiology (Mathematical modeling of infectious diseases); Computational biology; Data mining; and Time varying parameter estimation scheme for stochastic differential equations.

Dr. Otunuga is an Assistant Professor in the department of mathematics.. He earned his Ph.D. degree in Pure and Applied Mathematics from University of South Florida and his M.A. degree in Mathematics from Marshall University.

 Dr. Otunuga has rich key strength in analyzing complex data using innovative and/or existing statistical methods. He has a broad range of interests in applying statistical methodological tools for solving real problems in biomedicine and public health.

He developed a patent titled “Local lagged Adapted Generalized Method of Moments Dynamic Process” with patent number US 10,719,578. The patent, abbreviated LLGMM, was granted and issued on July 21, 2020. The embodiments described in the patent are directed towards the development of a time varying parameter and state estimation scheme. More information on the patent can be found on the United States Patent and Trademark Office (USPTO) website.

 

teaching

TEACHING AREAS

 

Calculus with Analytic Geometry I, II, III; Differential Equations; Introduction to Statistics and Data Analysis; Partial Differential Equations; Applied Partial Differential Equations; Probability and Statistics 1; and Stochastic Modeling and Applications

publications

SELECTED PUBLICATIONS

  • Olumuyiwa J. Peters, Hasan S. Panigoro, Mahmoud A. Ibrahim, Olusegun M. Otunuga, Tawakalt A. Ayoola, Asimiyu Ol. Oladapo. (2023). Analysis and dynamics of measles with control strategies: a mathematical modeling approach. International Journal of Dynamics and Control. (Published Online) https://doi.org/10.1007/s40435-022-01105-1
  • Boniface P. Yemba, Olusegun M. Otunuga, Biyan Tang, Nabaneeta Biswas. (2023). Nowcasting of the Short-run Euro-Dollar Exchange Rate with Economic Fundamentals and Time-varying Parameters. Finance Research Letters, 52
  • Olusegun M. Otunuga. (2022). Stochastic modeling and forecasting of Covid-19 deaths: Analysis for the fifty states in the United States. Acta Biotheoretica, 70:25
  • Olusegun M. Otunuga. (2022). Analysis of multi-strain infection of vaccinated and recovered population through epidemic model: Application to COVID-19. PLoS ONE, 17(7): e0271446
  • Olusegun M. Otunuga. (2021). Estimation of epidemiological parameters for COVID-19 cases using a stochastic SEIRS epidemic model with vital dynamics. Results in Physics, vol 28, 104664
  • Olusegun M. Otunuga. (2021). Time-dependent probability distribution for number of infections in a stochastic SIS model: case study COVID-19. Chaos, Solitons & Fractals, 147
  • Olusegun M. Otunuga. (2021). Time-dependent probability density function for general stochastic logistic population model with harvesting effort. Physica A, 573, pp 1-33,
  • Olusegun M. Otunuga, G. Ladde, N. Ladde. (2020). Two-Scale Network Dynamic Model for Energy Commodity Processes. Journal of Energy, Hindawi, vol 2020, 2075258
  • Olusegun M. Otunuga, Mobolaji O. Ogunsolu. (2020). Qualitative analysis of a stochastic SEITR epidemic model with multiple stages of infection and treatment. Infectious Disease Modelling, vol 5, pp 61-90 https://doi.org/10.1016/j.idm.2019.12.003
  • Olusegun M. Otunuga. (2019). Closed-form probability distribution of number of infections at a given time in a stochastic SIS epidemic model. Heliyon, vol 5(9), https://doi.org/10.1016/j.heliyon.2019.e02499
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