Biography
Dr. Mohammed Elseidi is an Assistant Professor of Statistics and Data Science at Umm Al Quwain University in the United Arab Emirates. He holds a Ph.D. in Statistics from the University of Padova in Italy, an institution ranked among the top 100 worldwide in Statistical Sciences. He also earned his Bachelor’s and Master’s degrees in Applied Statistics (with a business application focus) from Mansoura University, where he graduated with honors.
Dr. Elseidi has over a decade of academic experience, starting as a Teaching Assistant in 2012 and advancing to Assistant Professor in 2020. He has taught a wide array of courses in statistics, econometrics, and quantitative methods across undergraduate and graduate levels.
His research bridges statistical modeling, machine learning, econometrics and environmental data science. He has developed several novel hybrid forecasting models—such as Prophet–ARIMA, MSTL–NNAR, and STR–NBEATS—which integrate classical decomposition methods with deep learning architectures. These models have been successfully applied to climate data from Umm Al Quwain, addressing the challenges of high-frequency, multi-seasonal time series.
His work has been published in leading journals including Stochastic Environmental Research and Risk Assessment and Modeling Earth Systems and Environment, both ranked in the top tiers of Scopus and Web of Science.
In 2024/2025, Dr. Elseidi received second place in the UAE Wellbeing Economy Award, organized by Greenpeace MENA, Ajman University, and the UAE Universities Climate Network. His winning project introduced a Hybrid Well-Being Index for the UAE, integrating sustainability, human development, and financial indicators using entropy-based weights and time series forecasting. The project was featured in:
• Khaleej Times
https://www.khaleejtimes.com/uae/uae-wellbeing-economy-award-winners-2025-solar-panels-gdp
• WAM (Greenpeace)
https://www.wam.ae/ar/article/bj4hsp6
• WAM (UAQU Seminar)
https://www.wam.ae/ar/article/b2suyng
He is an active reviewer and editorial board member for leading scientific journals, having reviewed for Scientific Reports (Nature), Energy Systems (Springer), and Stochastic Environmental Research and Risk Assessment. He also serves as Review Editor for the Climate Monitoring Section of Frontiers in Climate and contributes to journals of the Royal Meteorological Society and American Meteorological Society.
Dr. Elseidi is affiliated with international scientific networks such as the International Institute of Forecasters, the UAE Research Map, the Abu Dhabi Environmental Research Network, the Irish Statistical Association, and the Italian Econometric Society. He is proficient in R, SPSS, Python, and LaTeX, and frequently trains faculty and graduate students in advanced statistical techniques.
Dr. Elseidi’s work reflects a strong commitment to sustainable development, climate analytics, and the advancement of data-driven decision-making in the Arab region and beyond.
Terminal Degree: Ph.D. in Statistics, University of Padova (Italy), 2020.