Dr. Jackson Kamiri Wambugu, Ph.D

School of Computing & Information Technology

jkamiri@mut.ac.ke

Google Scholar: https://scholar.google.com/?authuser=1

ORCID: https://orcid.org/0000-0001-6899-1152

Research Gate : https://www.researchgate.net/profile/Jackson-Kamiri

LinkedIn : www.linkedin.com/in/

Biography

Dr. Jackson Kamiri is a Lecturer in the Department of Information Technology, School of Computing and Information Technology at Murang’a University of Technology. He joined the University in November 2019 as a Graduate Assistant and has progressed through the academic ranks to his current position.

Dr. Kamiri holds a Doctor of Philosophy (PhD) in Information Technology (2026), a Master of Science (MSc) in Information Technology (2022), and a Bachelor of Business Information Technology (BBIT), First Class Honours (2019), all from Murang’a University of Technology.

His research interests are in Artificial Intelligence, Deep Learning, Computer Vision, and Data Science. Dr. Kamiri has published research in these areas and continues to contribute to research, teaching, and innovation in Computing and Information Technology. His research publications can be accessed through his Google Scholar profile and the Murang’a University of Technology Institutional Repository.

Education

2023-2026- Doctor of Philosophy in Information Technology- Murang'a University of Technology
2020-2022: Master of Science in Information Technology- Murang'a University of Technology
2015-2019: Bachelor of Business Information Technology- Murang’a University of Technology

Publications

Kamiri and G. Mariga, “Research Methods in Machine Learning: A Content Analysis,” International Journal of Computer and Information Technology(2279-0764), vol. 10, no. 2, Art. no. 2, Mar. 2021, doi: https://doi.org/10.24203/ijcit.v10i2.79.
Kamiri, G. Mariga, and A. Oirere, “A Systematic Literature Review of Meta-Learning Models for Classification Tasks,” Int. J. Comput. Appl. Technol. Res., vol. 11, no. 03, pp. 56–65, 2022, doi: https://doi.org/10.7753/ijcatr1103.1002.
Kamiri, G. M. Wambugu, and A. M. Oirere, “A Comparative Study of Deep Learning and Transfer Learning in Detection of Diabetic Retinopathy,” Int. J. Comput. Appl. Technol. Res., vol. 11, no. 07, pp. 247–254, 2022, doi: https://doi.org/10.7753/ijcatr1107.1001.
A. Onyango, J. Kamiri, and G. M. Muketha, “A comparative study of the lexicographical complexity of Java, Python and C languages based on program characteristics,” Journal of Innovation, Technology and Sustainability, vol. 1, no. 1, pp. 42–67, Oct. 2023.
Kamiri, G. M. Wambugu, and A. M. Oirere, “Multi-task Deep Learning in Medical Image Processing: A Systematic Review,” International Journal of Computing Sciences Research, vol. 9, pp. 3418–3440, Jan. 2025.
Kamiri, G. M. Wambugu, and A. M. Oirere, “An Empirical Analysis of Encoder-Decoder (U-Net) Variants for Medical Image Segmentation,” International Journal of Scientific Research in Computer Science and Engineering, vol. 13, no. 1, pp. 26–31, Feb. 2025, doi: https://doi.org/10.26438/ijsrcse.v13i1.610.
Muia and J. Kamiri, “Explainable Artificial Intelligence: A Comprehensive Review of Techniques, Applications, and Emerging Trends,” International Journal of Scientific Research in Computer Science and Engineering, vol. 13, no. 4, pp. 57–68, Aug. 2025, doi: https://doi.org/10.26438/ijsrcse.v13i4.740.