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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. Rajaa Alqudah
Assistant professor
Dr. Ayman Faza
Head Electrical Engineering Department
Associate professor
Dr. Amjed Al-Mousa
Vice Dean of King Abdullah II School of Engineering
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 | |
|---|---|---|---|---|---|
| 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 | Optimized FIR Filter Using Genetic Algorithms: A Case Study of ECG Signals Filter Optimization | H Hamici, A Kanan, K Al-hammuri | PPT | Link | |
| 2023 | A Systemic Comparison Between using Augmented Data and Synthetic Data as Means of Enhancing Wafermap Defect Classification | Rajaa Alqudah, Amjed A Al-Mousa, Yazan Abu Hashyeh, Omar Z Alzaibaq | PPT | Link | |
| 2023 | Optimized DC-DC Boost Converter with Inverted Gamma Filter Based on Genetic Algorithm | SA AlZoubi, A Kanan | PPT | Link | |