Amos Langat | Statistics | Research Excellence Award

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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

Mohammad Arashi | Statistics | Best Researcher Award

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Prof.Mohammad Arashi | Statistics | Best Researcher Award 

Professor Ferdowsi University of Mashhad  Iran

Dr. Mohammad Arashi is a distinguished professor at the Department of Statistics, Faculty of Mathematical Sciences, Ferdowsi University of Mashhad. He specializes in shrinkage estimation, variable selection, and high-dimensional data analysis. His extensive academic and professional journey has positioned him as a leading figure in statistical sciences.

Profile 

Scopus

Education 🎓

Dr. Arashi holds a Ph.D. in Statistics (2008) and an M.Sc. in Mathematical Statistics (2005) from Ferdowsi University of Mashhad, Iran. He completed his B.Sc. in Statistics from Shahid Bahonar University of Kerman in 2003. His rigorous academic background has laid a solid foundation for his research and teaching excellence.

Experience 🏅

Dr. Arashi has held various academic positions, including Professor at Ferdowsi University of Mashhad (2021-present) and Extraordinary Professor at the University of Pretoria (2014-present). He also served as Associate Professor at Shahrood University of Technology (2012-2020). His leadership roles include directing the Data Science Laboratory at Ferdowsi University and serving on several scientific committees.

Research Interests 📊

Dr. Arashi’s research interests are diverse and impactful. He focuses on shrinkage estimation, variable selection, high-dimensional and big data analysis, statistical machine learning, graphical models, and longitudinal data analysis. His work significantly contributes to the advancement of statistical methodologies and their applications.

Awards 🏆

Dr. Arashi has received numerous awards, including the DSI-NRF CoE-MaSS Statistics Publication Impact Award (2023) and multiple teaching and research excellence awards from Ferdowsi University of Mashhad and Shahrood University of Technology. He is also an ISI Elected Member and an NRF rated researcher (C2).

Publications 📚

Dr. Arashi has published extensively in reputed journals. Notable publications include:

  1. “Shrinkage Estimation in Big Data” (2023), Journal of Statistical Computation and Simulation. Cited by Article 1, Article 2.
  2. “Variable Selection in High-Dimensional Models” (2021), Computational Statistics & Data Analysis. Cited by Article 3, Article 4.
  3. “Advanced Statistical Machine Learning Techniques” (2019), Journal of Machine Learning Research. Cited by Article 5, Article 6.