Professor
Prof. Haya Mohammad Abdulaziz Alaskar
البرمجة وعلوم الحاسب Computer Engineering & Sciences - Software Engineering20Published research
Overview
Prof. Haya Mohammad Abdulaziz Alaskar 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
2022 — 2022
وكيل العمادة للدراسات العليا - عمادة البحث والدراسات العليا
Prince Sattam bin Abdulaziz University
Academic qualifications
PhD in Computer Science
Computers Sciences - Programming and Computer Science
University of Wales — Grenada
2013
Master of Computer Science
Computers Sciences - Programming and Computer Science
University of Exeter — United Kingdom
2009
Bachelor of Computer Science
Computers Sciences - Programming and Computer Science
Prince Sattam bin Abdulaziz University — Saudi Arabia
2005
Academic progression
Professor
علوم الحاسب - كلية هندسة وعلوم الحاسب بالخرج
2023
Associate Professor
علوم الحاسب - كلية هندسة وعلوم الحاسب بالخرج
2019
Assistant Professor
علوم الحاسب - كلية هندسة وعلوم الحاسب بالخرج
2014
المهام والمسؤوليات الإدارية
وكيل العمادة للدراسات العليا - عمادة البحث والدراسات العليا
Prince Sattam bin Abdulaziz University
2022 — 2022
Published research
View all research (20)2025
Explainable AI for Unraveling the Significance of Visual Cues in High Stakes Deception Detection
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
2024
Patient Monitoring System Based on Internet of Things: A Review and Related Challenges With Open Research Issues
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Optimising Delivery Routes Under Real-World Constraints: A Comparative Study of Ant Colony, Particle Swarm and Genetic Algorithms.
International Journal of Advanced Computer Science & Applications,
Intelligent Gesture-Enhanced Blockchain Voting: A New Era of Secure and Accessible E-Voting
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Image dataset of healthy and infected fig leaves with Ficus leaf worm
DATA IN BRIEF
A Lightweight Image Encryption Algorithm Based on Secure Key Generation
ieee access
Explainable Machine Learning Model for Alzheimer Detection Using Genetic Data: A Genome-Wide Association Study Approach
ieee access
2023
Hybrid Metaheuristics with Deep Learning Enabled Automated Deception Detection and Classification of Facial Expressions
TECH SCIENCE PRESS
2022
Computational Intelligence-Based Melanoma Detection and Classification Using Dermoscopic Images
HINDAWI LTD
Cat Swarm Optimization-Based Computer-Aided Diagnosis Model for Lung Cancer Classification in Computed Tomography Images
MDPI
2021
Fuzzy Logical Algebra and Study of the Effectiveness of Medications for COVID-19
MDPI
2020
Whale Optimization for Wavelet-Based Unsupervised Medical Image Segmentation: Application to CT and MR Images
ATLANTIS PRESS
Pupil Localisation and Eye Centre Estimation Using Machine Learning and Computer Vision
MDPI
A Robust Quasi-Quantum Walks-based Steganography Protocol for Secure Transmission of Images on Cloud-based E-healthcare Platforms
MDPI
IoT-Enabled Flood Severity Prediction via Ensemble Machine Learning Models
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Lossy and Lossless Video Frame Compression: A Novel Approach for High-Temporal Video Data Analytics
MDPI
2019
High Predictive Performance of Dynamic Neural Network Models for Forecasting Financial Time Series
SCIENCE & INFORMATION SAI ORGANIZATION LTD
A Dynamic Neural Network Architecture with Immunology Inspired Optimization for Weather Data Forecasting (vol 14, pg 81, 2018)
ELSEVIER
2018
Data Mining to Support the Discrimination of Amyotrophic Lateral Sclerosis Diseases Based on Gait Analysis
SPRINGER INTERNATIONAL PUBLISHING AG
Prediction of Parkinson Disease Using Gait Signals
IEEE
Courses
10 Decisions| Course code | Course Name |
|---|---|
| SE 4911 | Graduation Project 1 |
| CS 0614 | Practical Deep Learning |
| CS 4901 | Field Training |
| CS 4921 | Graduation Project II |
| CS 0613 | Selected topics in AI applications |
| CS 0666 | Research project |
| CS 4552 | Machine Learning |
| CS 4912 | Graduation Project 1 |
| SE 4921 | Graduation project 2 |
| COM 702 | Advanced Machine Learning and Artificial Intelligence |
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