Amos Langat | Statistics | Research Excellence Award

Assist. Prof. Dr. Amos Langat | Statistics | Research Excellence Award

Assist. Prof. Dr. Amos Langat | Statistics | Professor at Jomo Kenyatta University Of Agriculture And Technology | Kenya

Statistics Assist. Prof. Dr. Amos Langat is a highly accomplished mathematician, statistician, and academic researcher with strong regional and international engagement in applied and theoretical statistical sciences. Assist. Prof. Dr. Amos Langat holds a Doctor of Philosophy in Mathematics (Statistics), a Master of Science in Applied Statistics, and a Bachelor of Science in Economics and Mathematics, forming a solid interdisciplinary academic foundation. Professionally, Assist. Prof. Dr. Amos Langat has extensive teaching and research experience as a Senior Lecturer, Lecturer, Postdoctoral Research Fellow, Adjunct Research Scientist, and Research Fellow across leading institutions in Africa and Europe, contributing to capacity development, artificial intelligence applications, migration studies, public health analytics, and multidisciplinary research initiatives. His research interests center on statistics, applied statistical modeling, data analytics, econometrics, public health statistics, and AI-driven statistical methods. Assist. Prof. Dr. Amos Langat’s research skills include statistical inference, regression analysis, multivariate analysis, data modeling, academic publishing, and interdisciplinary research collaboration. He has been recognized through prestigious scholarships, including a Pan African University PhD Scholarship and a postgraduate scholarship for applied statistics, reflecting academic excellence and competitive merit. In conclusion, Assist. Prof. Dr. Amos Langat stands out as a forward-looking Statistics scholar whose strong research portfolio, teaching excellence, and international collaborations position him as a significant contributor to modern statistical science and evidence-based decision-making across academia and society.

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Featured Publications

Cancer Cases in Kenya: Forecasting Incidents Using Box & Jenkins ARIMA Model
A. Langat, G. Orwa, J. Koima – Biomedical Statistics and Informatics, 2017
Citations: 23
Stock Price Prediction Using Combined GARCH–AI Models
J. K. Mutinda, A. K. Langat – Scientific African, 2024
Citations: 21
High Plasma Soluble CD163 During Infancy as a Marker for Neurocognitive Outcomes in Early-Treated HIV-Infected Children
S. F. Benki-Nugent et al. – JAIDS: Journal of Acquired Immune Deficiency Syndromes, 2019
Citations: 16
Capital Asset Pricing Model: A Renewed Application on the S&P 500 Index
J. K. Mutinda, A. K. Langat – Asian Journal of Economics, Business and Accounting, 2024
Citations: 11
Forecasting Temperature Time Series Data Using Combined Statistical and Deep Learning Methods: A Case Study of Nairobi County Daily Temperature
J. K. Mutinda, A. K. Langat, S. M. Mwalili – International Journal of Mathematics and Mathematical Sciences, 2025
Citations: 10
Exploring the Role of Dimensionality Reduction in Enhancing Machine Learning Algorithm Performance
J. K. Mutinda, A. K. Langat – Asian Journal of Research in Computer Science, 2024
Citations: 10