 |
Title/Qualifications: PhD Candidate in Computer Science, Health Informatics Fellow, Msc.(ISE) Information Systems Engineering, B.ED (Science).
Designation: Tutorial Fellow, Department of Computing and Information
Science, School of Pure and Applied Sciences
Department/Unit/Section: Computing and Information Science
Email: This email address is being protected from spambots. You need JavaScript enabled to view it.
Google Scholar || ORCID ID ||
Download CV
|
|
Area of Specialization: Machine Learning, IoT Technologies, Computer Vision, Data mining and Analytics, Cloud Computing, Database Systems & Software Engineering
Research Interests: Integration of IoT and Machine learning technologies in healthcare, Medical Images Analytics & Application of computer vision techniques in healthcare Intelligent Transportation Systems.
Publications:
- Munyao, M., Maina, E. M., Mambo, S. M., & Wanyoro, A. (2026). The Use of Machine Learning and Internet of Things Technologies in Maternal Healthcare: A Systematic Review. Journal of Health Informatics in Africa, 13(1), 96-122. DOI: https://doi.org/10.12856/JHIA-2026-v13-i1-584
- M. M. Munyao, · Elizaphan, M. Maina, · Shadrack, M. Mambo, and · Anthony Wanyoro, “Real-time pre-eclampsia prediction model based on IoT and machine learning,” Discov. Internet Things, vol. 4, p. 10, 2024, doi: 10.1007/s43926-024-00063-8.
- Munyao, M. M. (2017). Automating the PMTCT processes for Busia County Referral Hospital (Doctoral dissertation, University of Nairobi).
EDUCATION.
DATE SCHOOL GRADE OBTAINED
2019 - On Going Kenyatta University PHD in Computer Science
2015 – 2017 Nairobi University Institute Fellowship (Health Informatics)
of Tropical and Infectious Diseases (UNITID)
2007 - 2010 Sunderland University UK M.Sc. (ISE). Masters of Science Information Systems Eng.
1997 - 2002 Egerton University: B.ED (Science), Honours. Mathematics and Physics.
Recognized university administrative positions
- 2016 – 2018 – CIT Department DSVOL coordinator
- 2020 – 2021 University Coordinator, IBM PROJECT,
- 2022 – 2024 UNIVERSITY E-LEARNING COORDINATOR – Manage university
e-learning system and coordinate training for students and lecturers on usage of
elearning platform.
|
