Prof. Ismail Ateya – School of Computing and Engineering Sciences

Professor Ismail Ateya Lukandu is a distinguished Kenyan academic and researcher in the fields of computer science and information systems. He currently serves as the Director of the Office of Faculty Affairs and is a Professor at the School of Computing and Engineering Sciences at Strathmore University in Nairobi.

Prof. Lukandu holds a Doctor of Science (D.Sc., 2003) and a Master of Science (M.Sc., 2000) from Kyoto University in Japan. He also earned a Graduate Diploma in Computer Science from the University of Auckland, New Zealand (2006), and a Bachelor of Science (Honours, 1993) from the University of Nairobi, Kenya. His academic journey reflects his deep-rooted interest in applied computing and cross-cultural learning in global academic environments.

Prof. Ateya’s research interests lie at the intersection of information systems, logical data modeling, systems thinking, health informatics, and geospatial technologies, including GIS and spatial analysis. He has led and participated in numerous research projects, consultancies, and cross-sector collaborations with both public and private entities. His scholarly contributions—spanning journal articles, book chapters, and technical reports—focus on applying ICT4D (Information and Communication Technologies for Development) to address real-world challenges in health, agriculture, and manufacturing. A key theme in his work is the use of data-driven approaches and ICT integration to inform public policy and enhance decision-making in complex systems.

As a principal investigator and research leader, he has contributed to high-impact projects such as the implementation of ICT tools in Kenya’s manufacturing sector, the mapping of industrial symbiosis opportunities, and several health data informatics initiatives. His work has informed national strategies on digital transformation and innovation.

He has also supervised over 150 master’s theses and several Ph.D. dissertations, reflecting his commitment to mentoring the next generation of scholars. He is passionate about nurturing the next generation of African scholars and researchers, particularly in emerging fields such as health data science, e-government systems, and sustainable information infrastructure. He has also served as External Examiner and Reviewer for several universities and journals, and he is actively engaged in curriculum development and academic policy formulation. His contributions to scholarly work are indexed in platforms like ResearchGate, Google Scholar, and the AD Scientific Index.

His extensive experience and leadership continue to influence the advancement of computing and information sciences in Kenya and beyond

Networking and Engineering

Information Systems
Logical Data Modeling
Systems Thinking and Modeling
Health Informatics
Geolocation Technologies and GIS/Spatial Analysis
ICT for Development (ICT4D)
Data-Driven Public Policy
Integration of ICT in Health, Agriculture, and Manufacturing

Maingi, N. K., Ateya, I. L., & Mwau, M. (2019). Comparative analysis of the C4.5 and ID3 decision tree algorithms for disease symptom classification and diagnosis. International Research Journal of Advanced Engineering and Science, 4(2), 188–194.
Maingi, N. N., Ateya, I. L., & Mwau, M. (2019). Inter-county comparative analysis of ID3 decision tree algorithms for disease symptom burden classification and diagnosis. International Journal of Science and Research (IJSR), 8(5). https://doi.org/10.21275/ART20197527
Nyandiere, C., Kamuzora, F., Ateya, I. L., & Omwenga, V. (2014). Conceptual framework for integration of organization processing theory and activity theory in enterprise systems implementation. British Journal of Mathematics and Computer Science, 4(1), 61–72.
Shibwabo, B. K., Wanyembi, G. W., & Ateya, I. L. (2013). A survey of the state of dataspaces. International Journal of Computer and Information Technology, 2(6).ResearchGate
Ballera, M., Ateya, I. L., & Radwan, A. (2013). Collaborative problem solving using public social network media: Analyzing student interaction and its impact to learning process. Journal of Digital Information and Wireless Communications, 3(1), 25–42.
Ateya, I. L., & Shibwabo, B. (2017). Data recovery of flash memor y. In W. Banerjee (Ed.), Nanocrystals in Non-Volatile Memory (Chapter 6). Pan Stanford Publishing.
Nyaga, G. W., & Ateya, I. L. (2011). Executive information systems: The critical success factors – Adoption and usage in small, medium and large size organizations. Lambert Academic Publishing.
Ateya, I. L. (2011). Simulation and modelling techniques in gravity inversion: Variable density contrasts, contact surfaces and error corrections in gravity analysis. Lambert Academic Publishing.
Odunga, N. O., Mwangi, R. W., & Ateya, I. L. (2020). Reducing generalization error using autoencoders for the detection of computer worms. International Journal of Computer Applications, 177(17), 1–6.ResearchGate
Shabaya, P., Ateya, I. L., & Wanyembi, G. W. (2020). Challenges of assimilation of e-health systems in healthcare: Insights into activity theory. In Proceedings of the International Conference on Information Technology and Applications (pp. 45–50).ResearchGate
Omondi, A., Ateya, I. L., & Wanyembi, G. W. (2020). A Monte Carlo-based search strategy for dimensionality reduction in performance tuning parameters. Journal of Computer Science, 16(3), 345–356.ResearchGate
Omondi, A., Ateya, I. L., & Wanyembi, G. W. (2020). Probabilistic reasoning and Markov chains as means to improve performance of tuning decisions under uncertainty. International Journal of Advanced Computer Science and Applications, 11(3), 123–130.ResearchGate
Muriithi, H. M., Ateya, I. L., & Wanyembi, G. W. (2019). Determining the location of a concealed handgun on the human body using marker-less gait analysis and machine learning. In Proceedings of the International Conference on Machine Learning and Data Engineering (pp. 78–85).ResearchGate
Ochieng, N., Mwangi, R. W., & Ateya, I. L. (2019). Optimizing computer worm detection using ensembles. International Journal of Computer Applications, 178(7), 15–20.ResearchGate
Alaka, B., & Ateya, I. L. (2018). A Q-learning model for cognitive behavioural therapy of insomnia patients. International Journal of Artificial Intelligence and Applications, 9(5), 23–30.ResearchGate
Musau, G. M., Ateya, I. L., & Shibwabo, B. K. (2011). Improving the decision-making process using an information management system. International Journal of Management and Commerce Innovations, 3(1), 45–52.IJCR+1ResearchGate+1
Ateya, I. L., & Takemoto, S. (2004). Determination of density variations in the disturbing masses in a layer in the lower half-space. Journal of Geophysical Research, 109(B1), 1–10.ResearchGate
Ateya, I. L., & Takemoto, S. (2003). Determination of density contrasts for a three-dimensional sub-surface intermediate layer. Geophysical Journal International, 154(2), 345–356.ResearchGate
Awange, J., Fukuda, Y., Takemoto, S., Ateya, I. L., & Grafarend, E. W. (2003). Ranging algebraically with more observations than unknowns. Journal of Geodesy, 77(7–8), 453–461.ResearchGate
Ateya, I. L., Okuyama, S., & Takemoto, S. (2003). Gravity inversion modeling across fault/tectonic lines in the Central Ranges in Honshu, Japan. Geophysical Research Letters, 30(5), 1–4.ResearchGate

Books and Book Chapters

Shibwabo, B., & Lukandu, I. A. (n.d.). Data recovery of flash memory in nanocrystals. In W. Banerjee (Ed.), Non-volatile memory (Chap. 6). Pan Stanford Publishing. ISBN: 978-981-4774-73-4
Nyaga, G. W., & Lukandu, I. A. (2011). Executive information systems: The critical success factors – Adoption and usage in small, medium and large size organizations. Lambert Academic Publishing. ISBN: 978-3-8433-9025-5
Lukandu, I. A. (2011). Simulation and modelling techniques in gravity inversion: Variable density contrasts, contact surfaces and error corrections in gravity analysis. Lambert Academic Publishing. ISBN: 978-3-8443-3456-2

Prof. Ismail Ateya Lukandu

Books and Book Chapters