info@chuka.ac.ke
020 231 0512/ 020 231 0518
Head of Department
Department of Information and Communication Technology
Email: cgkinyua@chuka.ac.ke
Faculty of Science and Technology
Department of Computer Science
FIELD OF SPECIALIZATION
Computer Programming and Security
WORK EXPERIENCE
2020- To Date: Head of Department, Information Communication and Technology Department, Chuka University
2016 – To Date: Lecturer of Computer Science, Chuka University, www.chuka.ac.ke
2020 – To Date: Project Activity Lead/Point of Contact (POC), HealthIT project (USAID)
2013-2016: Assistant Lecturer, Department of Computer Science, Chuka University
2009 – 2012: Senior Technologist, Department of Computer Science Chuka University
CURRENT UNIVERSITY ADMINISTRATIVE DUTIES
1. Head of Department – Information and Communication Technology Department (ICT) Chuka University.
2. Project Activity Lead and Point of Contact, HealthIT Project
3. Co-ordinator of ODEL, Department of Computer Science
4. Member, Inspection and acceptance Committee, Chuka University
5. Member, University Exhibition and Marketing Committee, Chuka University
6. Academic Advisor, 3rd Year Computer Science, Bsc. In Computer Science and Applied Computer Science
COMMUNITY OUTREACH
1. Chairman of the Board of Management, Makanyanga Junior Secondary School
2. Member of Board of Management, Ndagani Sec. School & Kairini Secondary School
3. Church Secretary- Presbyterian Church of East Africa , Jerusha Kanyua Memorial Church, Ndagani
4. A member of Ameru Professionals Association (AMPA)
EDUCATION
1. Master of Science, Computer Science
2. B.Sc. in Computer Science and Technology
RESEARCH AND PUBLICATIONS
1. C.G. Kinyua, Analysis of Cybersecurity in Kenyan Government and Educational Infrastructure, the Journal of Environmental
Sustainability Advancement Research- JESAR-033-2024
2. Wabomba, M. S., Ochieng, O. C., Muriuki, N. S., Muthengi, F. M., Mugambi, D., & Gitonga, C. K. (2014). Application of Banach Space
Ideal Properties in Image Transmission over Wireless Network. Journal of Emerging Trends in Computing and Information
Sciences, 5(3).
3. Gitonga, C. K. (2015). Clock Synchronization in Distributed Distant Objects. International Journal, 3(12).
4. Gitonga, C. K. (2015). Prims algorithm and its application in the design of university LAN networks. International Journal, 3(10), 131-
136..
5. Status of Water Quality of Naka River in Meru South, Kenya: Ombaka, O., Gichumbi, JM and Kinyua, CG (2012) ‘Status of water
quality of Naka River in Meru South, Kenya’, International Journal of Modern Chemistry, 3(1): 23-38
ACCEPTED FOR PUBLICATIONS
The Impact of Quantum Computing on Cryptographic Systems: Urgency of Quantum-Resistant Algorithms and Practical Applications in Cryptography
BOOK CHAPTERS UNDER PUBLICATIONS
Book Chapters under publications
Cybersecurity and Data Privacy in IoT, Challenges and Solutions
Integration of Artificial Intelligence in IoT (AIoT), Advancing Smart Systems
RESEARCH INTERESTS
1. Developing Transparent and Explainable AI Systems for Ethical Decision-Making in Healthcare and Public Policy. The focus is to address the “black box” problem in AI by creating interpretable machine learning models that healthcare providers or policymakers can trust. Incorporate fairness and inclusivity metrics.
2. Optimizing Urban Sustainability Using AI-Driven Smart Grids for Renewable Energy Distribution. The focus is on Research scalable algorithms for smart grid systems that balance renewable energy sources and urban energy needs, integrating IoT data.
3. Integrating Wearable Technologies with AI for Predictive Diagnostics in Mental Health. The Focus is to develop a system that uses wearable data to predict and mitigate mental health crises. Explore bias, privacy, and clinical adoption barriers.
4. Algorithmic Frameworks for Scalable Quantum Machine Learning in Big Data Analytics. The focus is to Study the intersection of quantum computing and machine learning to develop new quantum-enhanced algorithms that can solve large-scale optimization problems.
5. This is a Data-Driven Models for Assessing the Impact of Climate Policies on Vulnerable Ecosystems. The focus is to build simulations using real-world data and AI to assess potential policy outcomes, focusing on underrepresented communities or regions.