Associate Professor
Dr. Meshal Ghalib Mesar Alharbi
البرمجة وعلوم الحاسب Computer Engineering & Sciences20Published research
Overview
Dr. Meshal Ghalib Mesar Alharbi 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
2023 — 2027
عميد كلية هندسة وعلوم الحاسب
Prince Sattam bin Abdulaziz University
2021 — 2022
رئيس قسم علوم الحاسب - كلية هندسة وعلوم الحاسب بالخرج
Prince Sattam bin Abdulaziz University
Academic qualifications
PhD in Computer Science
Computers Sciences - Programming and Computer Science
Durham University — United Kingdom
2020
Master of Computer Science
Computers Sciences - Programming and Computer Science
Florida Institute of Technology — United States
2014
Bachelor of Computer Science
Computers Sciences - Programming and Computer Science
Prince Sattam bin Abdulaziz University — Saudi Arabia
2009
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
2015
المهام والمسؤوليات الإدارية
عميد كلية هندسة وعلوم الحاسب
Prince Sattam bin Abdulaziz University
2023 — 2027
رئيس قسم علوم الحاسب - كلية هندسة وعلوم الحاسب بالخرج
Prince Sattam bin Abdulaziz University
2021 — 2022
Research interests
Agent-Based Modelling and Simulation
Machine Learning
Digital Transformation
Published research
View all research (20)2026
Toward Secure and Adaptive Medical Digital Twins: A Privacy-Preserving Federated Multi-Agent Reinforcement Learning Framework
CMC-COMPUTERS MATERIALS & CONTINUA
Beyond Classical Positional Encodings: A Learnable QFT-Inspired Framework for Transformer Language Models
CMC-COMPUTERS MATERIALS & CONTINUA
Enhanced detection of network intrusions and anomalies in internet of things applications using a hybrid artificial intelligence model combining CNN and LSTM
SCIENTIFIC REPORTS
Optimizing the cyber-physical intelligent transportation system network using enhanced models for data routing and task scheduling
KEAI PUBLISHING LTD
Modified transfer learning based variational quantum circuit for MNIST image classification
TAYLOR & FRANCIS LTD
2025
ESA-YOLOv5m: a lightweight spatial and improved attention-driven detection for brain tumor MRI analysis
FRONTIERS MEDIA SA
Mortality prediction for ICU patients with mental disorders using large language models ensemble and unstructured medical notes
PUBLIC LIBRARY SCIENCE
Applying the defense model to strengthen information security with artificial intelligence in computer networks of the financial services sector
SCIENTIFIC REPORTS
MAC-UAE: Multi-Level Access Control Based on Updateable Attribute Encryption of Secure Data in Mobile Cloud Center
SPRINGER
Responsible CVD screening with a blockchain assisted chatbot powered by explainable AI
NATURE PORTFOLIO
Navigating the future of higher education in Saudi Arabia: implementing AI, machine learning, and big data for sustainable university development
SPRINGERNATURE
SNet: A novel convolutional neural network architecture for advanced endoscopic image classification of gastrointestinal disorders
SLAS TECHNOLOGY
Optimizing the early diagnosis of neurological disorders through the application of machine learning for predictive analytics in medical imaging
NATURE PORTFOLIO
An online tool based on the Internet of Things and intelligent blockchain technology for data privacy and security in rural and agricultural development
NATURE PORTFOLIO
Enhancing COVID-19 detection using CT-scan image analysis and disease classification: the DI-QL approach
SPRINGER HEIDELBERG
Alzheimer's disease prediction using 3D-CNNs: Intelligent processing of neuroimaging data
ELSEVIER SCIENCE INC
2023
Sustainable residential building energy consumption forecasting for smart cities using optimal weighted voting ensemble learning
ELSEVIER
ACCIDENT ATTENTION SYSTEM FOR SOMNAMBULISM PATIENTS: IOMT BASED SMART HEALTH CARE SYSTEM
SCALABLE COMPUTING-PRACTICE AND EXPERIENCE
Pixel Optimization Using Iterative Pixel Compression Algorithm for Complementary Metal Oxide Semiconductor Image Sensors
TRAITEMENT DU SIGNAL
2024
Explainable Multi-Layer Dynamic Ensemble Framework Optimized for Depression Detection and Severity Assessment
DIAGNOSTICS
Courses
2 Decisions| Course code | Course Name |
|---|---|
| CS 4921 | Graduation Project II |
| CS 4912 | Graduation Project 1 |
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