Senior Lecturer

Dr.Sam Njuki

Computing and Informatics

Professional biography

Dr. Sam Njuki is a researcher and Senior Lecturer in the Department of Computing and Informatics at the Open University of Kenya, specialising in Cybersecurity, Software Engineering, Cloud Computing, IoT, Computer Security, Mobile Computing, Deep Learning and Big Data.

Dr. Njuki is also an ICT consultant specialising in Systems Analysis, Software Development, Curriculum Development and Information Systems Security, and a professional teacher registered by the Teachers Service Commission (TSC), Kenya.

Research Interests

Cybersecurity
Cloud Computing
Computer Security
Mobile Computing
Deep Learning
Big Data and IoT

Ongoing Research Projects

Strengthening Digital Skilling in Kenya

Academic matrix

Qualifications

Doctor of Engineering in Computer Science & Technology, Beijing University of Technology (2019)
Master of Science in Computer Science & Technology, Central South University (CSU) (2011)
Bachelor of Science in Computer Science and Mathematics, Jomo Kenyatta University of Agriculture and Technology (JKUAT) (2005)
Diploma in Education Science, Kagumo Teachers College (2001)

Core specialisations

Cybersecurity
Cloud Computing
Computer Security
Mobile Computing
Deep Learning
Big Data
IoT

Selected peer-reviewed publications

Kapkiyai, A., Okeyo, I., Njuki, S., & Ngaruiya, N. (2025). Edge-Based Telemedical Architecture Integrating Edge Devices and Lightweight AI for Healthcare in Kenya. World Journal of Public Health, 10(4). https://doi.org/10.11648/j.wjph.20251004.26
Odundo, C., Katila, C., Njuki, S., Onyango, L., & Makori, F. (2025). Leveraging Machine Learning Models to Predict HIV/AIDS Treatment Interruption in Patients in Machakos County, Kenya. International Journal of Data Science and Analysis, 11(6). https://doi.org/10.11648/j.ijdsa.20251106.11
Ronoh, K., Muli, E., Ngwawe, E., & Njuki, S. (2021). Internet of Things Learning Methodologies, Teaching Tools and Teaching Platforms. In Proceedings of the 2021 International Conference on Electrical, Computer and Energy Technologies (ICECET) (pp. 1–6). IEEE. https://doi.org/10.1109/ICECET52533.2021.9698711
Ronoh, K., Muli, E., Njuki, S., & Ngwawe, E. (2021). Practical and Projects Based Learning for Internet of Things. In Proceedings of the 2021 IEEE AFRICON (pp. 1–6). IEEE. https://doi.org/10.1109/AFRICON51333.2021.9570934
Too, E., Li, Y., Njuki, S., & Kwao, P. (2019). Performance analysis of non-linear activation in Convolution Neural Network for Image Classification. International Journal of Computational Science and Engineering.
Too, E. C., Li, Y., Njuki, S., & L. Yingchun (2018). A comparative study of fine-tuning deep learning models for plant disease identification. Computers and Electronics in Agriculture. https://doi.org/10.1016/j.compag.2018.03.032
Njuki, S., Zhang, J., Too, E., & Rimiru, R. (2018). An Evaluation on Securing Cloud Systems based on Cryptographic Key Algorithms. In Proceedings of the 2018 2nd International Conference on Algorithms, Computing and Systems. https://doi.org/10.1145/3242840.3242853
Njuki, S., Zhang, J., & Too, E. (2017). Analysis of Virtual Machine Migration Security Architectures in Cloud Computing. International Journal of Scientific and Engineering Research. IJSER
Rimiru, R. M., Tan, G., & Njuki, S. N. (2012). Integrating Innate Immune Concepts in the Design of an Artificial Immune System-Based Network Intrusion Detection. JCDTA, AICIT, 6(2), 162–171.
Njuki, S. N., Wang, J., & Rimiru, R. M. (2011). Towards Congestion Control in Mobile Devices by Combating TCP Based Attacks. In Proceedings of the International Conference on Information Systems and Computational Intelligence (ICISCI), Harbin.