Assist. Prof. Dr. Getachew Wegari | Jimma University | Ethiopia
Dr. Getachew Mamo is an Assistant Professor of IT at Jimma University, specializing in Natural Language Processing (NLP), Machine Learning (ML), and Artificial Intelligence (AI). With a PhD in Information Technology from Addis Ababa University, he has dedicated his career to advancing language technologies, particularly for the Afaan Oromo language. His expertise spans Python, Java, and C++, alongside deep learning frameworks such as PyTorch and OpenCV. Beyond academia, he has led key research projects and held administrative roles, including Dean of the Faculty of Computing and Informatics. His contributions to AI and NLP continue to impact Ethiopia’s tech landscape. 🚀
Professional Profile:
Google Scholar
Suitability for Best Researcher Award
Dr. Getachew Mamo is a strong candidate for a Best Researcher Award due to his significant contributions to Natural Language Processing (NLP), Machine Learning (ML), and Artificial Intelligence (AI), particularly in the context of Afaan Oromo language technologies. His work aligns with the award’s objective of recognizing impactful research that advances technological and scientific knowledge.
🎓 Education & Experience
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PhD in Information Technology (Language Technology) – 2019 🎓
Addis Ababa University, Ethiopia
- Thesis: Morphological Analysis Using Suffix-Sequences Based Machine Learning Approach
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MSc in Information Science – 2009 🎓
Addis Ababa University, Ethiopia
- Thesis: Parts of Speech Tagging for Afaan Oromo
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Assistant Professor (2018 – Present) 👨🏫
- Lecturing MSc courses: NLP, AI, Machine Learning, Python, Data Science
- Supervising postgraduate students
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Lecturer (2009 – 2017) 🎓
- Teaching undergraduate courses: Java, C++, DBMS, Networking
- Supervising student projects
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Graduate Assistant – Assistant Lecturer (2005 – 2008) 🎓
- Assisting and teaching IT-related courses
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Chairperson, Department of IT (2006-2007, 2008-2011) 🏛️
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Dean, Faculty of Computing and Informatics (2018-2020, 2022-Present) 🎖️
📈 Professional Development
Dr. Getachew Mamo has made significant contributions to academia through research, teaching, and leadership. As an expert in NLP and AI, he has developed various machine learning models for language processing, including morphological analysis and speech recognition for Afaan Oromo. His extensive teaching experience covers key areas such as deep learning, artificial intelligence, and data science. He has held leadership roles, fostering academic growth and innovation at Jimma University. Additionally, he actively engages in research collaborations, publishing in international journals and conferences. His passion for technological advancements continues to drive Ethiopia’s progress in AI and IT. 🚀📖
🔬 Research Focus
Dr. Getachew Mamo’s research primarily revolves around Natural Language Processing (NLP) 🤖, Artificial Intelligence (AI) 🧠, and Machine Learning (ML) 📊. His work has significantly contributed to Afaan Oromo language processing, including morphological analysis, parts of speech tagging, and speech-based command systems. He is also involved in big data analytics and deep learning models for medical applications, such as breast cancer diagnosis. His ongoing projects include an AI-based road safety management system and an Afaan Oromo spell checker. Through his research, he aims to enhance language technology, improve communication systems, and integrate AI into real-world applications. 🌍💡
🏆 Awards & Honors
- 🏅 Best Teaching Performance Award – College of Engineering and Technology, Jimma University (2010)
Publication Top Notes:
📌 Parts of speech tagging for Afaan Oromo – GM Wegari, M Meshesha | International Journal of Advanced Computer Science and Applications 1(3), 📑 Cited by: 12
📌 Suffix sequences based morphological segmentation for Afaan Oromo – GM Wegari, M Melucci, S Teferra | AFRICON 2015, 1-6 📑 Cited by: 2
📌 Probabilistic and grouping methods for morphological root identification for Afaan Oromo – GM Wegari, M Melucci, S Teferra | 2016 6th International Conference-Cloud System and Big Data Engineering 📑 Cited by: 1
📌 The Integration of Deep Learning Techniques and Big Data Analytics for Improved Breast Cancer Diagnosis and Treatment: A Systematic Review – HM Gebre, GM Wegari | 2024 International Conference on Information and Communication Technology 📑 Cited by: N/A
📌 An Assessment of Big Data Analysis Technologies for Improved Information Delivery – SR Chanthati, T Velmurugan, N Gulati, N Kedia, F Akram, GM Wegari | 2023 3rd International Conference on Smart Generation Computing 📑 Cited by: N/A