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Intelligent Systems
Conducting research on applying intelligent systems across different domains. This includes healthcare disease prediction, power systems, industrial manufacturing, and, specifically, the area of wafermaps defect classification.
Areas of Focus
- Applications of AI & ML in healthcare, industrial manufacturing, and power systems
- UAVs modeling and route planning.
- Deep learning applications in security.
- Hardware Design optimization for AI and ML Applications.
- Intelligent traffic modeling and optimization.
Research Group Members
Dr. Amjed Al-Mousa
Vice Dean of King Abdullah II School of Engineering
Associate Professor
Dr. Rajaa Alqudah
Assistant professor
Dr. Ayman Faza
Head Electrical Engineering Department
Associate professor
Dr. Awos Kanan
Head of Computer Engineering Department
Assistant professor
Eng. Abdullah Naji
Laboratory Supervisor
Eng. Salih Jasim
Research Group Member
Tala Ibrahim
Research Group Member
Omar Hamadah
Research Group Member
Zaid Taha
Research Group Member
Publications
| YEAR | Title | Author | Download | Link | |
|---|---|---|---|---|---|
| 2024 | A Machine Learning-Based Approach for Wait-Time Estimation in Healthcare Facilities with Multi-Stage Queues | Amjed Al-Mousa, Hamza Al-Zubaidi, Mohammad Al-Dweik | PPT | Link | |
| 2024 | Optimal PMU Placement for Fault Classification and Localization Using Enhanced Feature Selection in Machine Learning Algorithms | Ayman Faza, Amjed Al-Mousa, Rajaa Alqudah | PPT | Link | |
| 2024 | Probabilistic Modeling and Simulation of Drivers’ Lane Selection and its Impact on Highway Traffic using Fuzzy-Based Decision-Making | Rajaa Alqudah, Amjed Al-Mousa, Ayman Faza | PPT | Link | |
| 2023 | Uniform Resource Locator Classification Using Classical Machine Learning & Deep Learning Techniques | Aws Rayyan, Mohammad Ghassan Aburas, Amjed Al-Mousa | PPT | Link | |