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Intelligent Systems Research Group
The group is interested in 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
Eng. Abdullah Naji
Laboratory Supervisor at King Abdullah II School of Engineering
Dr. Awos Kanan
Head of Computer Engineering Department
Assistant professor
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 | |
|---|---|---|---|---|---|
| 2022 | Stroke Prediction Using Machine Learning Classification Methods | Hamza Al-Zubaidi, Mohammed Dweik, Amjed Al-Mousa | PPT | Link | |
| 2022 | Cloud-Based Reconfigurable Hardware Accelerator for the KNN Classification Algorithm | A Kanan, A Taha | PPT | Link | |
| 2022 | Sampling-Based Unmanned Aerial Vehicle Air Traffic Integration, Path Planning, and Collision Avoidance | Belal H Sababha, Amjed Al-mousa, Remah Baniyounisse, Jawad Bdour | PPT | Link | |
| 2022 | A Machine-Learning Based Approach for Detecting Phishing URLs | Mahmoud Atari, Amjed Al-Mousa | PPT | Link | |