Dr. Shuaa Alharbi, Qassim University, Saudi Arabia
Shuaa S. Alharbi is an Assistant Professor at the College of Computer Science, Qassim University, Saudi Arabia. She holds a B.Sc. and M.Sc. in Computer Science from Qassim University, and a Ph.D. in Computer Science from Durham University, UK. Her research expertise lies in machine learning, deep learning, and image processing, particularly in the biomedical domain. She specializes in developing novel deep learning architectures and techniques for analyzing medical images to enhance diagnostic accuracy. Her work focuses on curvilinear structure extraction and bioimage informatics, and she has published impactful research in esteemed journals, including Signal, Image and Video Processing and Methods. Dr. Alharbi has also contributed extensively to academic committees, curriculum development, and postgraduate supervision, reflecting her dedication to education and research excellence.
Professional Profile:
ORCID
Suitability for the Women Researcher Award
Dr. Shuaa S. Alharbi has demonstrated substantial contributions in computer science, with a focus on machine learning, image processing, and medical image analysis. Her research is interdisciplinary, addressing key challenges in the fields of bioimage informatics, medical diagnostics, and AI-based deep learning applications. These align with global priorities in health technology and AI-driven innovation.
🎓 Education
- B.Sc. in Computer Science (2007)
📍 Qassim University, Saudi Arabia
- M.Sc. in Computer Science (2014)
📍 Qassim University, Saudi Arabia
- Ph.D. in Computer Science (2020)
📍 Durham University, United Kingdom
🧑💻 Specialization: Bioimage Informatics, Machine Learning, and Image Processing
💼 Work Experience
- Teaching Assistant (2008-2016)
📍 Qassim University – College of Computer Science
- Lecturer (2016-2020)
📍 Qassim University – College of Computer Science
- Assistant Professor (2020–Present)
📍 Qassim University – College of Computer Science
- Administrative Roles:
- E-Content Supervisor (2020-2022)
- IT Department Coordinator (2020-2022)
- Member of various academic and examination committees
🏆 Achievements, Awards, and Honors
- Published Research:
- 📘 Sequential Graph-Based Extraction of Curvilinear Structures (2019)
🔗 Signal, Image, and Video Processing Journal
- 📘 The Multiscale Top-Hat Tensor (2019)
🔗 Methods Journal
- Research Contributions:
🌟 Expertise in machine learning, deep learning, and medical image processing
🌟 Development of novel architectures for analyzing curvilinear structures in biological and medical images
- Committee Memberships:
🏅 Standing Committees in the Scientific Council (2023-2024)
- Supervision:
🎓 Postgraduate Supervisor at the College of Computer Science
🌟 Areas of Interest
- Machine Learning & Deep Learning 🤖
- Medical Image Analysis 🏥
- Computer Graphics and Signal Processing 🎨
Publication Top Notes:
Arabic Speech Recognition: Advancement and Challenges
Date Fruit Detection and Classification Based on Its Variety Using Deep Learning Technology
Exploring the Applications of Artificial Intelligence in Dental Image Detection: A Systematic Review
E-DFu-Net: An efficient deep convolutional neural network models for Diabetic Foot Ulcer classification
Integration of machine learning bi-modal engagement emotion detection model to self-reporting for educational satisfaction measurement