Home » Mr. Kimera Richard
An AI/Machine Learning Engineer with a PhD in Engineering (ICT Convergence) and Postdoctoral experience in NLP for low-resource African languages. Expertise in large language model (LLM) fine-tuning, data curation, and AI systems for health and language technology. Proven leadership in academic-industry collaborations.
Postdoctoral Fellow, Makerere University – March 2024–Present PhD, Engineering (ICT Convergence), Handong Global Univ., South Korea – 2021–2024 3. MSc, Techno-entrepreneurship, Handong Global Univ., South Korea – 2015–2016 4. Bachelor of Information Technology, MUST – 2007–2010 (First Class Hons)
Kimera, R., Heo, D., Rim, D. N., & Choi, H. (2024, December). Data Augmentation With Back translation for Low-Resource languages: A case of English and Luganda. In Proceedings of the 2024 8th International Conference on Natural Language Processing and Information Retrieval(pp. 142-148) Akande, O., Okolie, J. A., Kimera, R., & Ogbaga, C. C. (2025). A comprehensive review on deep learning applications in advancing biodiesel feedstock selection and production processes. Green Energy and Intelligent Transportation, 4(3), 100260. Dayil, J. L., Akande, O., Mahmoud, A. E. D., Kimera, R., & Omole, O. (2025). Challenges and opportunities in Machine learning for bioenergy crop yield Prediction: A review. Sustainable Energy Technologies and Assessments, 73, 104057. Kimera, R., Kim, Y. S., & Choi, H. Y. (2024). Ethics in Artificial Translation: A Biblical Perspective. Logos Management Review22(1), 171-200. Kimera, R., Rim, D. N., & Choi, H. (2023, December). Fine-tuning BERT on twitter and reddit data in Luganda and English. In Proceedings of the 2023 7th International Conference on Natural Language Processing and Information Retrieval(pp. 63-70). Kimera, R., Rim, D. N., Kirabira, J., Udomah, U. G., & Choi, H. (2023, October). Enhanced Labeling Technique for Reddit Text and Fine-Tuned Longformer Models for Classifying Depression Severity in English and Luganda. In 2023 14th International Conference on Information and Communication Technology Convergence (ICTC)(pp. 76-80). IEEE. Rim, D. N., Kimera, R., & Choi, H. (2023). Mini-Batching with Similar-Length Sentences to Quickly Train NMT Models. KIISE, 50(7), 614-620. Gallifant, J., Zhang, J., Whebell, S., Quion, J., Escobar, B., Gichoya, J., Herrera, K., Jina, R., Chidambaram, S., Mehndiratta, A. and Kimera, R., 2023. A new tool for evaluating health equity in academic journals; the Diversity Factor. PLOS Global Public Health, 3(8), p.e0002252. Kimera, R., Rim, D. N., & Choi, H. (2022). Building a Parallel Corpus and Training Translation Models Between Luganda and English. KIISE, 49(11), 1009-1016. Kimera, R., Kaggwa, F., Mwavu, R., Mugonza, R., Tumuhimbise, W., Munguci, G., & Kamuganga, F. (2020). An Overview of Data Science Innovations, Challenges and Limitations Towards Real-World Implementations in Global Health.
Creation of a Multilingual Multimodal Parallel Dataset for Runyankore-Rukiga and Luganda for Large Language Modelling (2024) Dialogues of Delivery: Fine-Tuning Large Language Models for Prenatal and Perinatal Care in East African Languages University as a Facilitator for Community-Based Sustainable Solutions to Demographic Challenges in South Western Uganda (UCoBS) (2021) AuthorAID gender mainstreaming in higher education (2017) Google: Computer Science for High School (2012 & 2015) Google: Science, Technology, Engineering and mathematics (STEM) for Girls (2013/2014)