Lecturer

Dr.Ronald Ojino

Computing and Informatics

Wasifu wa kitaalamu

Dr. Ronald Ojino is a Lecturer and Ag. Chair of the Department of Computing and Informatics at the Open University of Kenya, with over 10 years of experience in research and training within the dynamic computing field. He provides expertise in Artificial Intelligence, research training, ontology engineering and machine learning. He holds a PhD in Computer Science from the University of Dar es Salaam (UDSM), a Master's in Information Technology from Masinde Muliro University of Science and Technology (MMUST) and a BSc in Computing and Information Systems from London Metropolitan University.

Dr. Ojino has published in peer-reviewed journals within the computing field and frequently undertakes independent consultancy, developing and implementing core programmes in digital rights training, e-learning, and the use of Artificial Intelligence and other computing tools for civil society organisations, cooperative societies, NGOs and other sectors. He also serves as an ICT consultant to international schools and frequently speaks on AI integration at international conferences and other fora. A bold thinker and visionary go-getter, he pushes boundaries to help teammates and clients achieve their organisational targets while changing society for the better.

Research Interests

Ontology development and validation
Knowledge graph construction
Machine learning
Artificial intelligence
ICT in Education
ICT for Development

Matriksi ya kitaaluma

Sifa

PhD in Computer Science, University of Dar es Salaam (2023)
MSc in Information Technology, Masinde Muliro University of Science and Technology (2013)
BSc in Computing and Information Systems, London Metropolitan University (2007)

Utaalamu mkuu

Artificial Intelligence
Ontology Engineering
Knowledge Graphs
Machine Learning
ICT in Education
ICT for Development

Machapisho teule yaliyokaguliwa na rika

Omwenga, E., & Ojino, R. (2026). Smart Education Status Report for Sub-Saharan Africa. In 2026 GSENet Annual Report: Smart Education Around the World – Partners' Perspectives from Seven Regional Reports. ALECSO
Etyang, F., Abhishek, A., Pavithran, P., Mandela, N., Polley, S., Ayesiga, C., & Ojino, R. (2026, April). A Hybrid Temporal-Spatial Attention Network (TSAN) Framework for Enhanced Detection and Classification of Malicious Traffic in Tor Hidden Services. In 2026 13th International Conference on Computing for Sustainable Global Development (INDIACom) (pp. 1–8). IEEE.
Ralethoko, N., Mandela, N., Ojino, R., Milgo, E., & Etyang, F. (2026, April). Ensemble Machine Learning Framework for Missing Micronutrient Prediction in Food Composition. In 2026 13th International Conference on Computing for Sustainable Global Development (INDIACom) (pp. 1–9). IEEE.
Ojino, R., & Ndolo, R. (2023, September). Knowledge graph for fraud detection: case of fraudulent transactions detection in Kenyan SACCOs. In International Conference on Artificial Intelligence: Towards Sustainable Intelligence (pp. 178–186). Cham: Springer Nature Switzerland.
Ojino, R., Mich, L., & Mvungi, N. (2022). Hotel room personalization via ontology and rule-based reasoning. International Journal of Web Information Systems, 18(5-6), 369–387.
Ojino, R. (2019, April). User's profile ontology-based semantic model for personalized hotel room recommendation in the web of things: student research abstract. In Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing (pp. 2314–2316).