Research output per year
Research output per year
Personal profile
About
Dr. Otunuga joined the department of mathematics as an assistant professor in fall 2014. He earned his Ph.D. in Pure and Applied Mathematics from University of South Florida and his M.A. from Marshall University.
His research interests include stochastic dynamical systems, analysis and applications; Mathematical dynamics/modeling of Infectious diseases; Computational biology; and Commodity price modeling and analysis. He is also focusing on a time varying parameter estimation scheme for stochastic differential equations, and modeling and analysis of financial data (energy commodity, U.S. Treasury Interest rate, U.S.-U.K. exchange rate, stock price data, et c.)
Dr. Otunuga was granted a patent with patent number US 10,719,578, titled “Local lagged Adapted Generalized Method of Moments Dynamic Process.” 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. Summary of the patent work is described below. More information can be found on the United States Patent and Trademark Office (USPTO) website here.
Related documents
Education/Academic qualification
PhD, Applied Mathematics, University of South Florida
2009 → 2014
MS, Mathematics, Marshall University
2007 → 2009
Research Interests
- Stochastic Dynamical Systems and Analysis
- Stochastic Modeling and Analysis of Commodity Processes
- Mathematical Biology
- Stochastic Modeling of Infectious Diseases
- Time Varying Parameter Estimation Scheme
Disciplines
- Disease Modeling
- Applied Mathematics
- Mathematics
- Statistics and Probability
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Time-dependent probability density function for general stochastic logistic population model with harvesting effort
Otunuga, O. M., Jul 1 2021, In: Physica A: Statistical Mechanics and its Applications. 573Research output: Contribution to journal › Article › peer-review
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Time-dependent probability distribution for number of infection in a stochastic SIS model: case study COVID-19
Otunuga, O. M., Apr 24 2021, In: Chaos, Solitons & Fractals.Research output: Contribution to journal › Article › peer-review
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Local Lagged Adapted Generalized Method of Moments Dynamic Process
Ladde, G. S., Otunuga, O. M. & Ladde, N. G., Jul 21 2020, In: Mathematics Faculty Research.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Qualitative analysis of a stochastic SEITR epidemic model with multiple stages of infection and treatment
Otunuga, O. M. & Ogunsolu, M. O., Jan 4 2020, In: Infectious Disease Modelling. 5Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Quantitative analysis of a stochastic SEITR epidemic model with multiple stages of infection and treatment
Otunuga, O. M. & Ogunsolu, M. O., Jan 1 2020, In: Mathematics Faculty Research.Research output: Contribution to journal › Article › peer-review
Open AccessFile