Dr. Emmanuel de-Graft Johnson Owusu-Ansah PhD
Senior Lecturer, Department of Statistics and Actuarial Science, Faculty of Physical and Computational Sciences ORCID: 0000-0002-3678-7314 · Ghana
Editorial leadership for Journal of Big Data Research ISSN 2768-0207
Research interests
- Data Analysis Feature Extraction Neural Networks
- Artificial Intelligence Data Mining
- Knowledge Discovery Supervised Learning Advanced Machine Learning Applied Mathematics Unsupervised Learning Feature Selection Time Series Analysis Text Mining Statistical Learning Data Clustering Data Science Statistical Data Analysis Cluster Analysis Predictive Modeling
Biography
Education / Qualifications
- PhD in Mathematical Statistics / Risk & Reliability (through a mobility program involving University of Copenhagen; Technical University of Denmark; Sokoine University, Tanzania; and KNUST)
- MPhil in Applied Mathematics, National Institute for Mathematical Sciences (NIMS), Department of Mathematics, KNUST
- Postgraduate certificates from Cranfield University (UK), Michigan State University (USA), and the Maastricht School of Management (Netherlands)
Positions and Leadership Roles
Dr. Emmanuel de-Graft Johnson Owusu-Ansah has held multiple academic and administrative leadership positions at the Kwame Nkrumah University of Science and Technology (KNUST), Kumasi, Ghana. His contributions reflect a strong background in statistics, actuarial science, risk analysis, and higher education governance.
- Deputy Exams Officer, Statistics Department — 2017–2018
- Postgraduate Programs Coordinator, Department of Mathematics, KNUST — August 2018–July 2019
- Co-Chair, Society for Risk Analysis, African Chapter — 2018–Present
- Chairman of Convocation and Council of Convocation, KNUST — January 2022–Present
- Coordinator for Distance Learning Program, Department of Statistics and Actuarial Science, KNUST — January 2022–Present
- Deputy Postgraduate Programs Coordinator, Department of Statistics and Actuarial Science, KNUST — January 2022–Present
- Exams Officer, Distance Learning Programs, Department of Statistics and Actuarial Science, KNUST — January 2024–Present
Current Research Projects
- Climate Change & Crop Yield Prediction in Ghana: Developing advanced models to quantify uncertainty in climate and crop yield forecasting using machine learning and Bayesian statistical methods.
- Artificial Intelligence for Fuel Price Prediction in Africa: Applying AI and neural networks to analyze gasoil price asymmetry, improving accuracy in fuel price prediction and economic forecasting.
- Probabilistic Risk Models under Uncertainty: Evaluating the performance of probabilistic and Bayesian risk models to strengthen risk analysis and decision-making in uncertain environments.
Academic Profiles
Explore his academic and professional presence across trusted platforms:
Selected publications
- Probabilistic quantitative microbial risk assessment model of norovirus from wastewater irrigated vegetables in Ghana using genome copies and fecal indicator ratio conversion for estimating exposure dose 2017 cited 25×
- Salmonella risks due to consumption of aquaculture-produced shrimp 2018 cited 20×
- Quantum Leap and Uptake for Technological Advances in Africa in the Era of the COVID-19 Crisis 2024 cited 5×
Ranked by citation impact (Crossref) where available, newest otherwise · verified via ORCID.
Considering JBR for your work?
This journal is guided by Dr. Emmanuel de-Graft Johnson Owusu-Ansah (Senior Lecturer, Department of Statistics and Actuarial Science, Faculty of Physical and Computational Sciences ORCID: 0000-0002-3678-7314 ) and a peer-review board of practising researchers. Open access, author-retained copyright (CC BY), and a clear editorial process.