Professor
Prof. Hisham Abdulaziz Mohammed Alabduljabbar
الهندسة المدنية Preparatory Year20Published research
Overview
Prof. Hisham Abdulaziz Mohammed Alabduljabbar Faculty member in the field of الهندسة المدنية College Preparatory Year 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. الهندسة المدنية
Leadership positions
2024 — 2026
عميد عمادة القبول والتسجيل
Prince Sattam bin Abdulaziz University
2022 — 2024
عميد عمادة القبول والتسجيل
Prince Sattam bin Abdulaziz University
2022 — 2022
وكيل عمادة القبول والتسجيل للشؤون الفنية والأكاديمية
Prince Sattam bin Abdulaziz University
Academic qualifications
PhD in civil engineering
Civil engineering - Civil Engineering
University of Waterloo — Canada
2016
Master of Engineering
ENGINEERING - electrical engineering
University of Leeds — United Kingdom
2010
Bachelor of Civil Engineering
Civil engineering - Civil Engineering
King Saud University — Saudi Arabia
2008
Academic progression
Professor
الهندسة المدنية - كلية الهندسة بالخرج
2026
Associate Professor
الهندسة المدنية - كلية الهندسة بالخرج
2021
Assistant Professor
الهندسة المدنية - كلية الهندسة بالخرج
2017
Lecturer
الهندسة المدنية - كلية الهندسة بالخرج
2013
المهام والمسؤوليات الإدارية
عميد عمادة القبول والتسجيل
Prince Sattam bin Abdulaziz University
2024 — 2026
عميد عمادة القبول والتسجيل
Prince Sattam bin Abdulaziz University
2022 — 2024
وكيل عمادة القبول والتسجيل للشؤون الفنية والأكاديمية
Prince Sattam bin Abdulaziz University
2022 — 2022
Research interests
ترميم المباني الخرسانية المسلحة
معالجة المباني الخرسانية المعرضة للصدأ
اصلاح وترميم المباني باستخدام (FRP)
الاستفادة من النفايات الطبيعية المعاد تدويرها واستخدامها في الخرسانة
Published research
View all research (20)2026
Hybrid machine learning framework for predicting soil-caisson interaction under seismic loading using XGBoost and xLSTM
Ocean Engineering
Performance evaluation of sustainable concrete incorporating mineral fillers: experimental insights and predictive modeling using advanced machine learning
SPRINGER INT PUBL AG
A Deep Generative Adversarial Network-Driven Framework with Hybrid Machine Learning Models for Predicting Split Tensile Strength of Fiber-Reinforced Recycled Aggregate Concrete
Journal of Natural Fibers
Predicting the Impact of Crumb Rubber Size on the Rutting Resistance of Crumb Rubber Modified Asphalt Mixtures Using Gene Expression Programming
WILEY
Modeling mechanical properties of rubberized concrete using gene expression programming (GEP) and random forest: a comparative study
NATURE PORTFOLIO
Enhancing Compressive Strength Estimations of Rice Husk Ash Concrete Utilizing Metaheuristic Optimization Algorithms
Journal of Natural Fibers
2025
Advanced machine learning approaches for predicting compressive and flexural strength of carbon nanotube–reinforced cement composites a comparative study and model interpretability analysis
Nanotechnology Reviews
Forecasting the rheological properties of alkali-activated concrete utilizing gene expression programming
NATURE PORTFOLIO
Estimating the surface chloride concentration of marine concrete utilizing advanced hybrid machine learning models
Scientific Reports
Predicting Autogenous Shrinkage of High-Performance Concrete Utilizing Advanced Machine Learning Techniques
TAYLOR & FRANCIS INC
Sustainable strengthening of concrete deep beams with openings using ECC and Bamboo: An equation and data-driven approach through abaqus modeling and GEP
ELSEVIER
RSM-based optimization of recycled aggregate concrete with pozzolanic materials under high temperatures
FRONTIERS MEDIA SA
Cutting-Edge Hybrid Machine Learning Models for Forecasting the Acid Resistance of Cementitious Composites Incorporating Eggshell and Glass Powders
Journal of Natural Fibers
Hybrid Metaheuristic Optimized Random Forest Models for Predicting Compressive Strength of Alkali Activated Concrete
TAYLOR & FRANCIS INC
Estimating the compressive and tensile strength of basalt fibre reinforced concrete using advanced hybrid machine learning models
Structures
Predicting the shield effectiveness of carbon fiber reinforced mortars utilizing metaheuristic algorithms
Case Studies in Construction Materials
2024
Data-driven models for predicting compressive strength of 3D-printed fiber-reinforced concrete using interpretable machine learning algorithms
Case Studies in Construction Materials
Indirect estimation of resilient modulus (Mr) of subgrade soil: Gene expression programming vs multi expression programming
Structures
Comparison of boosting and genetic programming techniques for prediction of tensile strain capacity of Engineered Cementitious Composites (ECC)
ELSEVIER
2023
An overview of the research trends on fiber reinforced shotcrete for construction applications
Reviews on Advanced Materials Science
Courses
2 Decisions| Course code | Course Name |
|---|---|
| CEE 4990 | Senior Design Project II |
| CEE 4980 | Senior Design Project I |
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