Abebaw Agegne Agegne
Artificial Intelligence in Healthcare Blood Pressure and Hypertension Studies Pregnancy and preeclampsia studies Child Nutrition and Water Access Vaccine Coverage and Hesitancy Immune responses and vaccinations vaccines and immunoinformatics approaches Brain Tumor Detection and Classification Machine Learning in Healthcare Artificial Intelligence Health Information Management Cardiology and Cardiovascular Medicine Obstetrics and Gynecology Nutrition and Dietetics Health Immunology Molecular Biology

Bio

Abebaw Agegne Engda is a Computer Science professional with academic qualifications from University of Gondar and Debre Tabor University, Ethiopia. He is currently a Lecturer and Researcher in the Department of Computer Science at Debark University. His research focuses on intelligent systems, predictive modeling, data-driven decision-making, AI, knowledge-based systems, machine learning, deep learning, computer vision, and natural language processing (NLP).

Educational Journey

University of Gondar

MSC in Computer Science • Computer Science

2020

Debre Tabor University

BSC in Computer Science • Computer Science

2017

Experience

Debark University

Lecturer and researcher

2018 - Present • Computer Science

2025 - Present

Editors Role

Reviewer

GJCST

0 -

Affiliations

North Gondar Zone Communication Department

Websited developer,awarded Certificate of Community Service by Debark University, May 2025.

Member since 2025

Grants and Awards

GRANT

Nurture Project at Norway

Science Challenge Project

2026

Research

No publications found.