Dr. Tesfamariam Mulugeta Abuhay
About
Grants and Awards
1. Online Safety Project. 2. Emergency Patient Flow Analysis using Machine Learning and Computer Simulation.
Supervision
1. Tizita Dereje (She/her), MSc in Data Science Student, Thesis title 'Investigate Risk Factors and Predict Neonatal and Infant Mortality Based on Maternal Determinants using Homogenous Ensemble Methods'. 2. Melaku Alelign (He/his), MSc in Data Science Students, Thesis title 'Identifying Risk Factors and Predicting Food Security Status using Supervised Machine Learning Techniques'. 3. Belayneh Endalamaw (He/his), MSc in Data Science Students, Thesis title 'Predicting the Level of Anemia among Ethiopian Pregnant Women using Homogeneous Ensemble Machine Learning Algorithm'. 4. Dawit Shibabaw (He/his), MSc in Data Science Students, Thesis title 'Predicting Perinatal Mortality Based on Maternal Health Status and Health Insurance Service using Homogeneous Ensemble Machine Learning Methods'. 5. Alexander Takele (He/his), MSc in Data Science Students, Thesis title 'Predicting the Types of Intimate Partner Violence against Married Women in Ethiopia using Homogeneous Ensemble Machine Learning Algorithms'. 6. Minalu Beyene (He/his), MSc in Data Science Students, Thesis title 'Risk Factor Identification and Prediction of Preterm Birth Using Ensemble Machine Learning Algorithm and Apache Spark'.
Publication
https://scholar.google.com/citations?hl=en&user=O8tJ3yEAAAAJ&view_op=list_works