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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
Prof. Amjed Al-Mousa
Vice Dean of King Abdullah II School of Engineering
Professor
Dr. Rajaa Alqudah
Associate professor
Dr. Ayman Faza
Head Electrical Engineering Department
Associate professor
Dr. Awos Kanan
Head of Computer Engineering Department
Assistant professor
Eng. Abdullah Naji
Lab 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 | |
|---|---|---|---|---|---|
| 2023 | Enhanced Electrocardiogram Machine Learning-based Classification with Emphasis on Fusion and Unknown Heartbeat Classes | Amjed Al-Mousa, Joud Baniissa, Tala Hashem, Tala Ibraheem | PPT | Link | |
| 2023 | OSINT-Based Tool for Social Media User Impersonation Detection Through Machine Learning | Rajaa Alqudah, Mohammed Al-Qaisi, Rakan Ammari, Yazan Abu Ta'a | PPT | Link | |
| 2023 | SimToll: A Highway Toll, Lane Selection, and Traffic Modeling Dataset | Amjed A. Al-Mousa, Rajaa Alqudah, Ayman Faza | PPT | Link | |
| 2023 | Real-time Translation of American Sign Language into Text Using Machine Learning | Rajaa Alqudah, Aya Abugharbieh, Malak Khasawneh, Rasha Harahsheh | PPT | Link | |