OYEWALE Adedamola Abdullateef

PhD Candidate in Mathematical Biology | Assistant Lecturer & Researcher
Osogbo, NG.

About

Highly motivated PhD Candidate in Mathematics specializing in Mathematical Biology, leveraging a robust background in Applied Mathematics, Artificial Intelligence, and Machine Learning. Adept at academic research, complex problem-solving, and delivering effective instruction, seeking to contribute to cutting-edge scientific inquiry and educational excellence within a dynamic academic setting. Committed to advancing interdisciplinary knowledge and fostering student development.

Work

Osun State Polytechnic, Iree
|

Assistant Lecturer

Iree, Osun State, Nigeria

Summary

Contributed to academic excellence and student development through teaching, research, and comprehensive supervision within the Department of Mathematics.

Highlights

Delivered engaging lectures and facilitated interactive tutorials for diverse Applied Mathematics courses, effectively educating over 150 students annually.

Supervised and guided more than 30 students on their Student Industrial Work Experience Scheme (SIWES) projects, enhancing practical skill application and research methodology.

Actively participated in departmental research initiatives, contributing to studies in Artificial Intelligence, Optimization, and Numerical Analysis.

Managed and graded examinations and continuous assessments for multiple courses, ensuring fair and rigorous evaluation of student performance and academic standards.

Education

Federal University of Technology Akure
Akure, Akure, Nigeria

PhD Candidate

Mathematics (Mathematical Biology)

Federal University of Technology Akure
Akure, Akure, Nigeria

Master of Technology

Applied Mathematics

University of Ibadan
Ibadan, Ibadan, Nigeria

Bachelor of Science (Hons), Second Class (Lower Division)

Mathematics

Publications

On the Solutions of Optimal Control Problems Constrained by Ordinary Differential Equations With Vector-Matrix Coefficients Using Fico Xpress Mosel. International Journal of Mathematical Sciences and Optimization: Theory and Applications. 11(2).

Published by

International Journal of Mathematical Sciences and Optimization: Theory and Applications

Summary

Co-authored a publication detailing solutions for optimal control problems using Fico Xpress Mosel.

Iterative Methods for Approximating Solutions to Variational Inequality Problems: A comprehensive Survey. Adeleke University Journal of Engineering and Technology vol 8, No 1.

Published by

Adeleke University Journal of Engineering and Technology

Summary

Co-authored a comprehensive survey on iterative methods for approximating solutions to variational inequality problems.

On The Optimal Control Problems Constrained By Ordinary Differential Equations Using Conjugate GradientMethod and Fico Xpress Mosel. Journal of Mathematical and Computational Science.

Published by

Journal of Mathematical and Computational Science

Summary

Co-authored research on optimal control problems constrained by ordinary differential equations using Conjugate Gradient Method and Fico Xpress Mosel.

The chebyshev-type Spectral approximation method for periodic Benjamin Equation, Iree Journal of Science, Technical and Management Studies(IJOSTEM)

Published by

Iree Journal of Science, Technical and Management Studies(IJOSTEM)

Summary

Co-authored a publication on the Chebyshev-type Spectral approximation method for periodic Benjamin Equation.

Languages

English

Certificates

Machine Learning Specialization

Issued By

Stanford University (via Coursera)

Skills

Research & Analysis

Mathematical Biology, Artificial Intelligence, Machine Learning, Optimization, Numerical Analysis, Differential Equations, Optimal Control Problems, Variational Inequality Problems, Scientific Research, Data Analysis, Problem Solving, Conjugate Gradient Method, Spectral Approximation Methods.

Teaching & Mentoring

Lecturing, Curriculum Development, Student Supervision, Examination Management, Academic Guidance, SIWES Supervision.

Technical Skills & Software

Fico Xpress Mosel, Supervised Machine Learning, Regression, Classification, Advanced Learning Algorithms, Unsupervised Learning, Recommenders, Reinforcement Learning.

Professional Development

Nigerian Institute of Management (NIM), Scientific Conference Participation.