Computational Optimisation and Learning (COL) Lab
 

Image of Ifeoma Ogbodo

Ifeoma Ogbodo

PhD Student - Optimization of Immunization Planning Through Mobile Technology for Enhancing Child Wellness and Health in Nigeria,

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Biography

Ifeoma Ogbodo is a first-year PhD student in the Computational Optimisation and Learning (COL) Lab in the School of Computer Science at the University of Nottingham. She works under the supervision of Professor Dario Landa-Silva and Associate Professor Rong Qu. She obtained her B.Sc. (First-Class honours) and M.Sc. (Distinction) degrees both in Computer Science from the University of Nigeria, Nsukka, Nigeria in 2011 and 2016 respectively. She enjoys listening to gospel music, singing, reading storybooks to children, volunteering for children church ministry, and cooking.

Teaching Summary

Ifeoma Ogbodo has taught undergraduate courses at the Department of Computer Science, University of Nigeria, Nsukka, Nigeria.

Undergraduate Courses

  • COS104 - Introduction to Database Systems
  • COS101 - Introduction to Computer Science
  • COS201 - Computer Programming I
  • COS202 - Computer Programming II
  • COS333 - Operating System I
  • COS304 - Computer Applications
  • COS322 - Database Design and Management

Research Summary

Ifeoma Ogbodo's PhD research is concerned with the investigation of the application of the Workforce Scheduling and Routing Problem (WSRP) in the scenario of immunization of children in Nigeria for… read more

Current Research

Ifeoma Ogbodo's PhD research is concerned with the investigation of the application of the Workforce Scheduling and Routing Problem (WSRP) in the scenario of immunization of children in Nigeria for improved wellness and Health. In Nigeria, one of the leading causes of deaths among children under years is the lack of immunization against vaccine-preventable diseases. Poor immunization coverage has plagued the health sector in Nigeria and resulted in higher rates of mortality in children despite the various interventions by the government to alleviate the problem. There is a growing need for a cost-effective optimal way of planning immunization to strengthen the primary healthcare systems across all states and help solve the issue of poor immunization/vaccination coverage in Nigeria and globally. This current research focuses on tackling the optimization problem identified in planning immunization of children through home visits by nurses for children that could not be brought to clinics, parents bringing their children to clinics and the use of mobile technology for reminders to parents.

COL Lab

The University of Nottingham
School of Computer Science
Jubilee Campus
Wollaton Road
Nottingham, NG8 1BB


telephone: +44 (0) 115 9514206
email: pszjds@exmail.nottingham.ac.uk