Dr. Kedir Abegaz PhD

​Dr. Kedir H. Abegaz is an Assistant Professor of Biostatistics and Health Informatics at Near East University, Cyprus. His academic career includes roles as Lecturer at Madda Walabu University (Ethiopia), Research Assistant with the American Cancer Society (ACS-AACR), and Research Consultant at the Ethiopian Ministry of Innovation and Technology. His doctoral research focused on AI-driven ensemble and boosting models for predicting COVID-19 mortality in Eastern Africa, reflecting his expertise in data science, health informatics, and epidemiological modeling. His contributions extend to digital health, statistical modeling, and the integration of AI techniques in health research, with an emphasis on improving healthcare outcomes in resource-limited settings.

Education Details

• PhD: Biostatistics (Near East University, September 2023)
• M.Sc.: Biostatistics and Health Informatics (Mekelle University, 2015)
• B.Sc.: Applied Statistics (Dilla University, 2010)

Professional Background

• Assistant Professor (Current) - Biostatistics and Health Informatics, Madda Walabu University.
• Research Director (Former) - American Cancer Society (ACS-AACR).
• Research Consultant (Former) - Ethiopian Ministry of Innovation and Technology.
• Senior Lecturer & Research Expert (Current) - Madda Walabu University, Department of Public Health.

Current Research Projects

• AI-Driven Mortality Prediction: Developing and boosting ensemble machine learning models for predicting COVID-19 and other infectious disease mortality in Eastern Africa.
• Geospatial Health Analysis: Research focusing on mapping geographical inequalities and determinants for diseases, nutritional status, and health access in low- and middle-income countries.
• Food Security Determinants: Statistical modeling to identify socio-economic and environmental predictors of food security in rural Ethiopia using pooled cross-sectional data.

Academic Profiles of Dr. Kedir Abegaz

Explore his academic and professional presence across trusted platforms:

• AD Scientific Index
• ResearchGate
• LinkedIn
• Google Scholar

Dr. Abegaz’s recent work integrates advanced statistical modeling with public health research, focusing on community health, global disease burden, and AI applications.

• Owusu-Ansah, E.G.J., Avuglah, R.K., Kyere, Y.A., & Abegaz, K.H. (2024). Quantum leap and uptake for technological advances in Africa in the era of the COVID-19 crisis. Examining the Rapid Advance of Digital Technology in Africa (Book Chapter), 240-271. DOI: 10.4018/978-1-6684-9962-7.ch013.
• Abegaz, K.H. (2023). Boosting the Performance of Artificial Intelligence-Driven Models in Predicting COVID-19 Mortality in Ethiopia. International Journal of Environmental Research and Public Health, 20(4). PMID: 36832146.
• Abegaz, K.H., Etikan, I., & Etikan, İ. (2023). Artificial Intelligence-Driven Ensemble Model for Predicting Mortality Due to COVID-19 in East Africa. Journal of Public Health Research, 12(2), 22799036221142079. PMID: 36428921.
• Tamirat, A.W., Gebreslassie, M.F., Berhe, T.T., Abegaz, K.H., et al. (2023). Predictors of Neonatal Admission to Neonatal Intensive Care Unit in Tigray, Ethiopia. Frontiers in Pediatrics, 11, 1113222. DOI: 10.3389/fped.2023.1113222.
• Cherie A. D., Abegaz K.H., & Tefera B. B. (2023). Determinants of food security: evidence from Ethiopian Rural Household Survey (ERHS) using pooled cross-sectional study. PLoS One, 18(9), e0287848. DOI: 10.1371/journal.pone.0287848.

Last Updated on October 09, 2025