Personal profile

Research Interests


Mathematical modeling, Optimization, machine learning, dynamical systems, operational research and Software engineering.


PhD Project


Effective Algorithm for infectious disease resources allocation applied to the covid 19 pandemics:

This project is multidisciplinary, and it involves operational research and epidemiology study of the covid-19 virus. The project aims to find an optimal solution to the present problem involving resources (e.g. medical resources like vaccines, quarantine of infected individuals and other interventions) allocation during a pandemic. This problem can be understood as NP-hard. Understanding the optimal way of modelling covid-19 and allocation of optimal resources is an essential aspect of the project. My thesis is looking to implement a metaheuristic algorithm or a hybrid metaheuristics algorithm to optimize the allocation of resources and their constraints.



Master's Project

Plant disease detection: A cross-platform mobile application using Artificial Neural Networks

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being

Education/Academic qualification

Data science and computational intelligence, MSc, plant Disease Detection: A cross-platform mobile application using Artificial Neural Networks, Coventry University

17 Jan 202022 Jan 2021

Award Date: 22 Jan 2021

Electrical and electronics Engineering, Degree, Design and developing a 2km low powered Fm transmitter , Kwara State University

Award Date: 15 Aug 2016


Dive into the research topics where Michael Ajao-olarinoye is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
  • 1 Similar Profiles