Emmanuel Adabor is an Associate Professor of Applied Mathematics and Computational Sciences. He received his PhD in Applied Mathematics from the Kwame Nkrumah University of Science and Technology, Kumasi. After receiving a fellowship from the African Institute for Mathematical Sciences, he pursued his research interests in Computational Sciences. He is a member of the Society for Mathematical Biology and a board member of the Convention of Biomedical Research Ghana.

• Machine Learning
• Computing Theory
• Computational Immunology and Biological Dynamics
• Computing in Mathematics, Natural Science, Engineering and Medicine
• (Biomedical) Informatics
• Applied Mathematics and Statistics

• Development and applications of Machine Learning techniques
• Computational approaches to modeling biological and non-biological systems
• Measurement Theory, Data Analysis and Analytics
• Management Sciences
• Mathematical Programming
• Leadership and Computing Education
• Reverse-engineering of transcriptional regulatory networks in diseases

2023-2026: Simio Academic Edition (Simio LLC) software grant, worth $480000 (USD) to support teaching and research in simulation.

Master’s, School of Technology, GIMPA, Accra, Ghana

• SOT734B Numerical Analysis
• SOT733B Mathematical Modelling
• SOT714B Business Intelligence and Data Mining
• ICT706B Decision Support Systems
• SOT735B Computer Solutions and Modeling

PhD’s Level Course, GIMPA Business School, GIMPA, Accra, Ghana

• MTK908B Multivariate Data Analysis
• DMGT909 Measurement Theory and Data Analysis

Master’s Level Course, GIMPA Business School, GIMPA, Accra, Ghana

• BUS712B Analytical Skills for Decision-Making

 Undergraduate Level Course, School of Technology, GIMPA, Accra, Ghana

• ICT301B Information Technology Research Methods
• CSC301B Computing Theory
• CSC304B Numerical Methods
• GSOT208B Linear Algebra
• CSC305B Advanced Probability and Statistics
• SOT204B Probability and Statistics
• SOT101B/SOT102B Calculus

Peer reviewed journal articles

• Adabor, E.S. (2021). A statistical analysis of antigenic similarity among influenza A (H3N2) viruses. Heliyon 7(15): e08384. https://doi.org/10.1016/j.heliyon.2021.e08384
• Adabor, E.S., Acquaah-Mensah, G. (2019). Machine learning approaches to decipher hormone and HER2 receptor status phenotypes in breast cancer. Briefings in Bioinformatics (2019),20(2):504-514. https://doi.org/10.1093/bib/bbx138.
• Degoot, A.M., Adabor, E.S., Chirove, F., Ndifon, W. (2019). Predicting Antigenicity of Influenza A Viruses Using biophysical ideas. Scientific Reports 9(10218) https://doi.org/10.1038/s41598-019-46740-5
• Adabor, E.S., Acquaah-Mensah, G.K. and Oduro, F.T. (2015). SAGA: A Hybrid Search Algorithm for Bayesian Network Structure Learning of transcriptional regulatory networks. Journal of Biomedical Informatics; Vol. 53, pp. 27-35.

Office: D-Block

E-mail: emmanuelsadabor@gimpa.edu.gh