Associate Professor
Dr. Mohammed Abdullah Ali Alshahrani
اساليب كمية تخصص (احصاء تطبيقي) Science and Humanity Studies in Alkharj - Mathematics16Published research
Overview
Dr. Mohammed Abdullah Ali Alshahrani Faculty member in the field of اساليب كمية تخصص (احصاء تطبيقي) College Science and Humanity Studies in Alkharj At Prince Sattam bin Abdulaziz University, he contributes to supporting the educational and learning process by offering academic courses, participating in educational activities and programs, and supporting the development of students' skills and enhancing their knowledge in the field. اساليب كمية تخصص (احصاء تطبيقي)
Academic qualifications
PhD in Applied Statistics
statistics - Quantitative Methods Specialization (Applied Statistics)
University of Leeds — United Kingdom
2019
Master of Statistics
statistics - Statistics
University of Oklahoma — United States
2012
Bachelor of Mathematics
Mathematics - mathematics
Bisha University — Saudi Arabia
2006
Academic progression
Associate Professor
الرياضيات - كلية العلوم والدراسات الانسانية بالخرج
2026
Assistant Professor
الرياضيات - كلية العلوم والدراسات الانسانية بالخرج
2019
Lecturer
الرياضيات - كلية العلوم والدراسات الانسانية بالخرج
2014
Research interests
Applied Statistics
Biostatistics
Bioinformatics
Big Data
Application of Data science
Published research
View all research (16)2025
Estimation of parameters for the modified Weibull distribution under step-stress accelerated life testing with application to aircraft windshields data
NATURE PORTFOLIO
Engineering grace: A state-of-the-art statistical model with Monte Carlo simulation and an application in reliability engineering
ELSEVIER
Exploring seasonal drought patterns with climate data and machine learning models
SPRINGER
On the implications of a new statistical model and machine learning algorithms in music engineering
ELSEVIER
A modified sine-cosine probability distribution: Its mathematical features with statistical modeling in sports and reliability prospects
ELSEVIER
Geostatistical analysis and multivariate assessment of groundwater quality
Scientific Reports
On predictive modeling of the twitter-based sales data using anew probabilistic model and machine learning methods
ELSEVIER
2024
Statistical Predictive Hybrid Choice Modeling: Exploring Embedded Neural Architecture
MDPI
Improving drought monitoring using climate models with bias-corrected under Gaussian mixture probability models
International Journal of Climatology
A new probabilistic model: Its implementations to time duration and injury rates in physical training, sports, and reliability sector
Alexandria Engineering Journal
Perturbation Approach to Polynomial Root Estimation and Expected Maximum Modulus of Zeros with Uniform Perturbations
MDPI
Adopting a new sine-induced statistical model and deep learning methods for the empirical exploration of the music and reliability data
Alexandria Engineering Journal
Development of maximum relevant prior feature ensemble (MRPFE) index to characterize future drought using global climate models
Scientific Reports
A support vector machine based drought index for regional drought analysis
Scientific Reports
2023
Plant Disease Classification Based on ConvLSTM U-Net with Fully Connected Convolutional Layers
INT INFORMATION & ENGINEERING TECHNOLOGY ASSOC
Pixel Optimization Using Iterative Pixel Compression Algorithm for Complementary Metal Oxide Semiconductor Image Sensors
INT INFORMATION & ENGINEERING TECHNOLOGY ASSOC
Courses
3 Decisions| Course code | Course Name |
|---|---|
| MATH4820 | Geaduation Project |
| ms 2040 | Statistical Methods |
| STAT1050 | Probability and Statistics for Computer Students |
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