Assistant Professor, Mathematics
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.
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About Olusegun Michael Otunuga
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.
| August 2014 - Present | Assistant Professor, Marshall University ‐ Department of Mathematics | |
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Disciplines
Research Interests
Courses
- STA 225 (Introductory Statistics)
- MTH 616 (Advanced Differential Equations)
- MTH 640 (Complex Analysis)
- MTH 428 (Advanced Calculus)
- MTH 335 (Differential Equations)
- MTH 360 (Complex Analysis)
- MTH 231 (Calculus with Analytic Geometry III)
- MTH 230 (Calculus with Analytic Geometry II)
- MTH 229 (Calculus with Analytic Geometry I)
- MTH 132 (Pre-Calculus)
- MTH 140 (Applied Calculus)
- MTH 122 (Plane Trigonometry)
- MTH 127 (College Algebra)
| 2009 - 2014 | PhD, Applied Mathematics, University of South Florida | |
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| 2007 - 2009 | MS, Mathematics, Marshall University | |
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