Dr. Nicholas Muriuki Muriithi
Lecturer, Information Technology
nicholas.muriuki@zetech.ac.ke
- My expertise is in machine learning, with research applying artificial intelligence to cybersecurity challenges. Have published research in peer-reviewed journals and presented at university conferences.
- Tutorial Fellow | Zetech University, Ruiru - January 2019 – Present
- Part time Lecturer | Nairobi Institute of Business Studies, Ruiru - 2023 – 2025
- Part-Time Lecturer | Kenya Methodist University (KeMU) - September 2019 – May 2021
- Lecturer | NIBS technical college , Ruiru - October 2016 – December 2018
- Lecturer | Jodan College of Technology, Thika - April 2015 – October 2016
- Lecturer and Head of Department | Gakeo College of Professional Studies, Thika - 2011 – May 2012
PROFESSIONAL EXPERIENCE
- Peer Advisory Leader (PAL) | ICT Department, Zetech University
- Peer Reviewer | Journal of Engineering, Technology & Applied Science Research Current
- University Syllabus Review | University curriculum development
- Student Project Supervision | Zetech University
- Information Technology Intern | National Hospital Insurance Fund (NHIF) January 2015 – March 2015
- Head of Department | Gakeo College of Professional Studies, Thika 2011 – May 2012
- Information Technology Intern | Kirinyaga District Farmers Sacco Ltd, Kerugoya 2009
Journals
- Muriithi, N., Mwangi, E., & Malanga, K. (2026). A CNN–Bi-LSTM hybrid model for email phishing detection. Journal of Intelligent Systems and Applied Data Science (JISADS), 4(1)
- Muriithi, N., Mwangi, E., & Malanga, K. (2025). A review on detecting phishing emails using CNN and Bi-LSTM techniques. Journal of Intelligent Systems and Applied Data Science (JISADS), 3(2)
- Muriithi, N. M., & Karani, D. J. (2025). A systematic literature review on phishing detection model. International Journal of Computer Applications Technology and Research
- Wambui, B. M., Nyambura, H., & Muriuki, N. (2022). An analysis on the effectiveness of ICT integration in learning in higher education institutions in the Covid-19 era. International Journal of Computer Applications Technology and Research
- Muriithi, N. M. (2021). Prediction model for book borrowing in universities using neural network. Journal of ICT Research and Applications, 12(1), 29–34
conference papers
- A CNN–Bi-LSTM hybrid model for email phishing detection. Zetech University 8th Conference.
- A review on detecting phishing emails using CNN and Bi-LSTM techniques. Kirinyaga University 9th Conference.
- A systematic review on phishing detection models. Zetech University 6th Conference.