Researcher | Debre Markos University | Ethiopia
Dr. Eshete Derb Emiru is a distinguished scholar and Assistant Professor in Computer Science and Technology at Debre Markos University, Ethiopia, whose work bridges the fields of Natural Language Processing, Machine Learning, Deep Learning, and Computer Vision. His academic journey spans multiple institutions where he refined his expertise in data analytics, programming, and artificial intelligence, actively confronting challenges and prevention in low-resource language processing. Through groundbreaking publications on Amharic and Tigrinya language technologies, Dr. Eshete has contributed immensely to AI-driven communication tools that address societal challenges and prevention related to inclusivity in digital language resources. His professional experience includes leadership roles in academic research and university administration, showcasing a strong balance of innovation and mentorship. His research interests emphasize deep learning applications for speech recognition, translation systems, and cultural data analysis, targeting challenges and prevention in algorithmic bias, data accessibility, and linguistic equity. A reviewer for reputable journals such as IEEE Access and Scientific Reports, Dr. Eshete’s dedication to quality research underscores his reputation for excellence. Among his awards and honors, his recognition for impactful publications and contribution to the advancement of AI for African languages stands out. His research skills encompass advanced programming, model optimization, and interdisciplinary data analysis, enabling him to overcome persistent challenges and prevention barriers in AI development. In conclusion, Dr. Eshete Derb Emiru exemplifies innovation, perseverance, and intellectual leadership in addressing challenges and prevention within artificial intelligence, computational linguistics, and technology for social advancement. His Google Scholar Citations: 191, h-index: 5, i10-index: 4.
Profile: Google Scholar
Featured Publications
1. Fesseha, A., Xiong, S., Emiru, E. D., Diallo, M., & Dahou, A. (2021). Text classification based on convolutional neural networks and word embedding for low-resource languages: Tigrinya. Information, 12(2), 52.
2. Emiru, E. D., Xiong, S., Li, Y., Fesseha, A., & Diallo, M. (2021). Improving Amharic speech recognition system using connectionist temporal classification with attention model and phoneme-based byte-pair-encodings. Information, 12(2), 62.
3. Tonja, A. L., Belay, T. D., Azime, I. A., Ayele, A. A., Mehamed, M. A., Kolesnikova, O., ... (2023). Natural language processing in Ethiopian languages: Current state, challenges, and opportunities. arXiv preprint arXiv:2303.14406.
4. Fesseha, A., Xiong, S., Emiru, E. D., & Dahou, A. (2020). Text classification of news articles using machine learning on low-resourced language: Tigrigna. In 2020 3rd International Conference on Artificial Intelligence and Big Data (ICAIBD).
5. Emiru, E. D., Li, Y., Xiong, S., & Fesseha, A. (2019). Speech recognition system based on deep neural network acoustic modeling for low resourced language-Amharic. In Proceedings of the 3rd International Conference on Telecommunications and Signal Processing (TSP).