"Effective Algorithm for infectious disease resources allocation applied to the covid 19 pandemics". This project is multidisciplinary, it involves the fields of operational research and epidemiology. The aim of the project is 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 to be NP-hard Understanding the optimal way of modelling covid-19 and its variants is an important 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.
operational research, optimization, infectious disease modelling. machine learning, neural network, image recognition, and mobile development
Data science and computational intelligence, MSc, Coventry University
17 Jan 2020 → 22 Jan 2021
Award Date: 22 Jan 2021
Electrical and electronics Engineering, Degree, Kwara State University
Award Date: 15 Aug 2016
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