TITLE (PROF/DR/): DR.

NAME: EDESIRI BRIDGET NKEMNOLE

POSITION: ASSOCIATE PROFESSOR SPECIALISATION: MATHEMATICAL & COMPUTATIONAL STATISTICS, STOCHASTIC

PROCESSES-MARKOV CHAIN, HIDDEN MARKOV CHAINS, TIME SERIES, STATISTICAL EPIDEMIOLOGY

EDUCATION/TRAINING (Begin with Bachelor’s degree or other initial professional education, such as nursing, include postdoctoral training and residency training if applicable. Add/delete rows as necessary.)

INSTITUTION AND LOCATION	DEGREE (if applicable)	Completion Date MM/YYYY	FIELD OF STUDY
Delta State University, Abraka, Nigeria	B.Sc (Ed.)	12/2002	Mathematics
University of Lagos- Akoka, Lagos Nigeria	M.Sc.	06/2005	Statistics
University of Lagos- Akoka, Lagos Nigeria	Ph.D.	02/2012	Statistics

 Personal Statement

As a researcher with a keen interest in mathematical statistics, computational statistics, and Time series analysis, I specialize in stochastic processes, particularly Markov chains and Hidden Markov Chains. I have applied these methodologies to real-world problems, modeling complex systems and predicting future trends in various fields such as finance, biology, and epidemiology. With expertise in Markov chains and Hidden Markov Chains, I have developed novel algorithms and machine learning techniques to extract valuable insights from data and uncover hidden patterns in various fields. My current research focuses on understanding infectious disease dynamics and informing optimal control strategies using these stochastic processes.  I’m committed to mentoring and training upcoming researchers in stochastic processes, mathematical statistics, computational statistics, and Time series analysis, equipping them with innovative statistical and computing tools to drive data-driven decision-making and solving real-world problems.

 Positions, Scientific Appointments, and Honours

● Ag. Head of Department of Statistics, University of Lagos, 2024 till date

● Member: Organization for Women in Science for the Developing World (OWSD), Lagos Branch;

● Member: Nigeria Organizing Committee (NOC) for 9th International Conference on

Mathematical Sciences and Optimization (ICMSO 2022), Porto-Novo, Republic of Benin.

● Association of Mathematical Sciences and Optimization (AMSO) Financial Secretary/ Treasurer

● Member: Local Organizing Committee (LOC) for the 2nd Data Science School:  2023 – Till Date

● Fellow of the Institute of Policy Management and Leadership Development (IPMLD) 2025 till date

● Editor/Reviewer: International Journal of Mathematical Sciences and Optimization: Theory and Applications (2019 till date)

● Member, Postgraduate Admission Committee, School of Postgraduate, University of Lagos, Akoka, 2022-2024.

● Chairman, Departmental Postgraduate Committee, Department of Statistics, University of Lagos, Akoka, 2024.

● Departmental Post graduate Coordinator of Department of Statistics, Faculty of Science, University of Lagos, Akoka (2022 to 2024).

● Course Adviser, 100 to 400 level B.Sc. (Biostatistics, Data Science & Statistics), Department of Statistics, University of Lagos, 2013-2016

● Chairman, Department of Statistics Quality Assurance and Servicom Committee 2021-2023

● Representative of Congregation in Senate, Unilag (August 1, 2022 – July 31, 2026)

● Departmental Representative/Member of Faculty Curriculum Review Committee

● Internal Examiner: Oral Examination/ Final Defense for Doctorate Degrees

● Departmental Examination Officer, Department of Mathematics, University of Lagos, 2019-2021.

 Selected Most Recent Publications  /Contributions to Knowledge

 1. Nkemnole E. B., Isimeto R. O., Onyedinma A. A., (2025): Prediction of E-Payment Channels with Hidden Markov Model. Research and Analysis Journals 8(03): 01-09.

2. Nkemnole E. B.,  Wulu J. T. and Osubu, I., (2024): Application of K-Nearest Neighbours and Long-Short-Term Memory Models using Hidden Markov Model to Predict Inflation Rate and Transition Patterns in Nigeria. Journal of Applied Science and Environmental Management Vol. 28 (6) 1913-1925.

3. R. U. Okafor, E. B. Nkemnole, (2024): Maximum Likelihood Estimation Of Hidden Markov Model:   

              Application To Markers of Infectious Disease Progression. International Journal of Mathematical    

              Sciences and Optimization: Theory and Applications 10(3): 154- 168.

4.  Nkemnole E.B. and Kuti O. O. (2023) Fitting Birth and Death Queuing Models using Maximum     

                 Likelihood Estimation with Application to COVID-19 Pandemic in Sub-Saharan Africa. International  

                 Journal of Clinical Biostatistics and Biometrics, Vol. 9 (1) 1-14.

5. Nkemnole E. B.  and Oyewole J. O (2023). An Analysis of the Hidden Markov Model for Surveilling the Transmission of Lassa Fever Epidemic Disease in Nigeria during Dry Season. International Journal of Tropical Disease & Health Volume 44, Issue 18, Page 1-14 .

Collaborators/ Networks (International inclusive)

 i. Dr. Wulu John, Department of Mathematics & Statistics, University of Maryland University College, United States.

ii. Dr. Roselyn Osimete, Department of Computer Sciences, University of Lagos, Lagos, Nigeria

iii. Dr. W. A. Ayoola, Department of Met. & Mat., University of Lagos, Lagos, Nigeria