Kwame Baffour Agyemang

Kwame Baffour Agyemang is a lecturer in the Department of Computer Science and Informatics of the University of Energy and Natural Resources.

 

PUBLICATIONS

 

1. Baffour, K. A., Osei-Bonsu, C., & Adekoya, A. F. (2017). A Modified Apriori Algorithm for Fast and Accurate Generation of Frequent Item Sets. International Journal of Scientific & Technology Research, 6(8), 169-173.

 

QUALIFICATIONS (EDUCATION)

 

2009-2013 BSc Computer Science, KNUST

2014-2017 MPhil Computer Science, KNUST

 

RESEARCH INTERESTS

 

Spatial Computing (Augmented Reality, Virtual Reality)

Artificial Intelligence

Data Mining

 

POSITIONS HELD AND HOLD

 

Departmental Web metrics Coordinator (2018/2019 academic year)

 

ASSOCIATIONS/AFFILIATIONS

 

Member – Ghana Science Association (Sunyani Chapter)

 

RESEARCH PROJECTS

 

Using Augmented Reality as a tool for teaching Anatomy (ongoing)

The use of Virtual Reality technology in teaching Science Concepts in Basic Schools (ongoing)