Associate Professor
Dr. Abdullah Q F Alqahtani
البرمجة وعلوم الحاسب Computer Engineering & Sciences - Software Engineering20Published research
Overview
Dr. Abdullah Q F Alqahtani Faculty member in the field of البرمجة وعلوم الحاسب College Computer Engineering & Sciences 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. البرمجة وعلوم الحاسب
Leadership positions
2021 — 2023
رئيس قسم هندسة البرمجيات - كلية هندسة وعلوم الحاسب بالخرج
Prince Sattam bin Abdulaziz University
Academic qualifications
PhD in Computer Science
Computers Sciences - Programming and Computer Science
University of Leicester — United Kingdom
2020
Master of Computer Science
Computers Sciences - Programming and Computer Science
University of Leicester — United Kingdom
2010
Bachelor of Computer Science
Computers Sciences - Programming and Computer Science
وكالة الوزارة لكليات المعلمين — Saudi Arabia
2007
Academic progression
Associate Professor
علوم الحاسب - كلية هندسة وعلوم الحاسب بالخرج
2024
Assistant Professor
علوم الحاسب - كلية هندسة وعلوم الحاسب بالخرج
2020
Lecturer
علوم الحاسب - كلية هندسة وعلوم الحاسب بالخرج
2013
المهام والمسؤوليات الإدارية
رئيس قسم هندسة البرمجيات - كلية هندسة وعلوم الحاسب بالخرج
Prince Sattam bin Abdulaziz University
2021 — 2023
Research interests
Graph transformation theory and its applications
Big Data and Data Engineering
AI Applications
Published research
View all research (20)2026
A Digital-Twin-Enabled Framework for Battery Degradation Management in Electric Vehicles
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Digital Twin framework for Autism Spectrum Disorder analysis
CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS
A digital twin-inspired ecosystem framework for aquatic animal healthcare
ELSEVIER
Digital-Twin-Empowered Cybersecurity Framework for Healthcare Vulnerability Assessment
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Intelligent Pipeline Vulnerability Detection System for Gas Industry
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Predicting carbonation depth in fiber-reinforced ultra-high performance concrete (FR-UHPC) using state-of-the-art machine learning techniques
NATURE PORTFOLIO
2025
An AI and 6G-IoT enabled computational framework for intelligent medical resource allocation and adaptive personalized healthcare
SPRINGER WIEN
Facial Expression Recognition by Multi-Scale Local Binary Patterns (MLBP) and Convolutional Neural Network (CNN) Features
Expert Systems
QRCF: A new Q-learning-based routing approach using a smart cylindrical filtering system in flying ad hoc networks
ELSEVIER
Quantum computing-inspired resource distribution in healthcare
SPRINGER
6G-Enabled Federated Intelligence and Transparent Framework for Aerial Scene Classification
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Machine learning-based prediction of crack mouth opening displacement in ultra-high-performance concrete
NATURE PORTFOLIO
AquaTwinCare: A Digital Twin-Inspired Framework for Aquatic Animal Healthcare
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Predicting critical crack propagation length in sustainable additive-enhanced concrete using explainable machine learning
NATURE PORTFOLIO
Satellite-Based Object Detection With PSNR-Driven Image Enhancement and Structural Interpretability
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Blockchain-inspired intelligent framework for logistic theft control
ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
Unveiling Autism's Patterns: The Deep Dynamic Levenberg-Marquardt Approach
WILEY
2024
Computing machinery techniques for performance prediction of TBM using rock geomechanical data in sedimentary and volcanic formations
TECHNO-PRESS
In-depth exploration of machine learning algorithms for predicting sidewall displacement in underground caverns
TECHNO-PRESS
Blockchain-Based Smart Monitoring Framework for Defense Industry (vol 12, pg 91316, 2024)
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Courses
12 Decision| Course code | Course Name |
|---|---|
| CS 4912 | Graduation Project 1 |
| DMG 501 | Data Governance Fundamentals |
| SE 4911 | Graduation Project 1 |
| CE 0618 | advanced Robotics and Automations |
| CS 3501 | Artificial Intelligence |
| SE 4921 | Graduation project 2 |
| CS 0666 | Research project |
| DMG 611 | Capstone Project |
| SE 2111 | Software Engineering Foundations |
| CS 2311 | Data Structures |
| CS 0617 | Research Ethics and Methods |
| CS 4921 | Graduation Project II |
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