Tamer M Elbayoumi

Bio

Currently, Dr. Elbayoumi works at the Department of mathematics & Statistics, North Carolina A&T State University as Assistant Professor. He granted the doctorate in statistics from Western Michigan University in June 2013 and worked at many universities including Oklahoma State University and Indiana University.

Research Interests

Nonparametric Statistics, Geostatistics, Artificial Neural Networks and Machine Learning, and Data Science.

Recent Publications

• Gazali Agboola, Leila Hashemi-Beni, Tamer Elbayoumi, Gary Thompson (2024). (Optimizing landslide susceptibility mapping using machine learning and geospatial techniques). 18, pp. 20. Ecological Informatics.
• Tamer Elbayoumi, Sayed Mostafa (2023). (Impact of Bias Correction of the Least Squares Estimation on Bootstrap Confidence Intervals for Bifurcating Autoregressive Models). pp. 1-20. Journal of Data Science.
• Tamer Elbayoumi, Sayed Mostafa (2020). (On the Estimation Bias in First‐Order Bifurcating Autoregressive Models). (e342) 10, pp. 17. Stat.
• Hossein Sahour, Mohamed Sultan, Mehdi Vazifedan, Karem Abdelmohsen, Sita Karki, John Yellich, Esayas Gebremichael, Fahad Alshehri, Tamer Elbayoumi, (2020). (Statistical Applications to Downscale GRACE‐ Derived Terrestrial Water Storage Data and to Fill Temporal Gaps). (533) 12, pp. 1-30. Remote Sensing.
• Mohamed Ahmed, Moahmed Sultan, Tamer Elbayoumi, Philippe Tissot (2019). (Forecasting GRACE Data Over the Africa Watersheds Using Artificial Neural Networks). (15) 11, Remote Sensing.
• Sita Karki, Mohamed Sultan, Racha Elkadiri, Tamer Elbayoumi (2018). (Mapping and Forecasting Onsets of Harmful Algal Blooms Using MODIS Data over Coastal Waters Surrounding Charlotte County, Florida). (10) 10, Remote Sensing.
• Tamer Elbayoumi, Jeff Terpstra (2016). (Weighted L1-Estimates for the First-Order Bifurcating Autoregressive Model). (8) 45, pp. 2991-3031. Communications in Statistics-Simulation and Computation.
• Racha Elkadiri, Mohamed Sultan, Ahmed Youssef, Tamer Elbayoumi, Ronald Chase, Ali Bulkhi, Mohamed Al-Katheeri (2014). (A Remote Sensing-Based Approach for Debris-Flow Susceptibility Assessment Using Artificial Neural Networks and Logistic Regression Modeling). (12) 7, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
• Jeff Terpstra, Tamer Elbayoumi (2012). (A Law of Large Numbers for a Bifurcating Process with an Infinite Moving Average Representation). (1) 28, Statistics and Probability Letters.