Adjunct Associate Professor

Prof.Elisha Toyne Opiyo Omulo

Computing and Informatics

Wasifu wa kitaalamu

Prof. Elisha Opiyo Omulo is an Adjunct Associate Professor of Intelligent Systems in the Department of Computing and Informatics, School of Science and Technology, at the Open University of Kenya. Prof. Omulo has previously worked at the University of Nairobi, United International University Africa, Moi University and Kenya Technical Teachers College, and holds a PhD in Computer Science from the University of Nairobi and a Master of Philosophy in Computer Science from the University of Wales.

Prof. Omulo has wide expertise and experience in university teaching and research across computing areas at undergraduate and postgraduate levels, and has been an active member of research collaborations, including serving as Co-Director and Health Informatics Track Lead for an HIV/AIDS project for over seven years. Prof. Omulo has several publications in journals, conferences, books and book chapters, and is currently a member of the African Academy of Languages; between 1996 and 1997 Prof. Omulo was a member of the British Computer Society Expert Systems Specialist Group.

Research Interests

Applications of Artificial Intelligence in agriculture, business, education, security and engineering
Applications of Artificial Intelligence in health and technology

Ongoing Research Projects

Fall Armyworm Detection Project, Machakos (KALRO) — AI expert.

Matriksi ya kitaaluma

Sifa

PhD in Computer Science, University of Nairobi, Kenya (2012)
MPhil in Computer Science, University of Wales, Cardiff, UK (1998)
Postgraduate Diploma in Computer Science, University of Nairobi, Kenya (1987)
BEd (Science), Kenyatta University College, University of Nairobi, Kenya (1979)

Utaalamu mkuu

Intelligent Systems
Applications of Artificial Intelligence
Health Informatics

Machapisho teule yaliyokaguliwa na rika

Okola, I., Omulo, E. O., Ochieng, D. O., & Ouma, G. (2025). Multi-Objective Optimization of the Food-Energy-Water Nexus Problem: A Review of the Key Concepts and Emerging Opportunities in Objective Functions, Decision Variables, and Optimization Techniques. Advancing Earth and Space Sciences.
Okola, I., Omulo, E. O., Ochieng, D. O., & Ouma, G. (2023). A comparison of evolutionary algorithms on a Large Scale Many-Objective Problem in Food–Energy–Water Nexus. Results in Control and Optimization, 10, 100195. ScienceDirect
Omulo, E. T. O. (2022). The Relevance of Artificial Intelligence in Geospatial Engineering. In First National Artificial Intelligence for Development (AI4D) Africa Workshop: Application of AI/ML in Geospatial Engineering, 18 November 2022, Nairobi Safari Club, Kenya.

Chini ya uthibitishaji wa kawaida wa kitaaluma