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Dr. Mohammed Ibraheem Elseidi
Assistant Professor
drmohammed.elseidi@uaqu.ac.ae

Short biography

Dr. Mohammed Elseidi

I am currently an Assistant Professor of Statistics at Umm Al-Quwain University in the UAE, where my expertise lies in delivering courses in statistics and mathematics, alongside conducting applied statistical research. My responsibilities include mentoring students, enhancing the curriculum, and participating in the scholarly statistical community.

I earned my Ph.D. in Statistics from the prestigious University of Padova in Italy (ranked 50-100 in statistics in QS World University Rankings by Subject 2023), a testament to my commitment to excellence in statistical education and research. My academic journey began at Mansoura University, where I obtained my Bachelor's and Master's degrees in Applied Statistics. There, my career evolved from a Teaching Assistant to an Assistant Professor, significantly contributing to academic program development and research initiatives. I played a key role in establishing agreements with international statistical associations between Egypt and the USA, and I led a program aimed at increasing the rate of international publications at Mansoura university.

My tenure as a Visiting Assistant Professor at the University of Padova further broadened my academic horizons, allowing me to engage in international research collaborations and apply advanced statistical methodologies. My dedication to the field is evident through my active involvement in academic associations and a robust publication record in top-tier journals indexed in Q1 Scopus and Web of Science, reflecting my commitment to advancing statistical education and research.

Research area: Time series Analysis, Seasonal patterns, High frequency data, Hybrid statistical and Machine learning models

Leading articles:

  • Elseidi, Mohammed. "Forecasting temperature data with complex seasonality using time series methods." Modeling Earth Systems and Environment 9.2 (2023): 2553-2567.‏ 

https://link.springer.com/article/10.1007/s40808-022-01632-y

  • Elseidi, Mohammed. "A hybrid Facebook Prophet-ARIMA framework for forecasting high-frequency temperature data." Modeling Earth Systems and Environment (2023): 1-13.‏

https://link.springer.com/article/10.1007/s40808-023-01874-4