In an achievement that reflects academic and research excellence, students from the Prince Al Hussein bin Abdullah Faculty of Information Technology at Al al-Bayt University participated in the ICCIAA 2025 conference, which was hosted by Petra University for three days of specialized scientific presentations in the fields of artificial intelligence and machine learning, under the supervision of Dr. Suheila Abu Awaidah.

On the first day, students Khaled Shukri Hamad, Bashar Ayman Harahsheh, Muhammad Yasser Al-Abd Al-Latif, Wadi Nasim Al-Saeed, and Muhammad Abdullah Abu Humaida presented a research paper entitled "Automated Lung Cancer Diagnosis Using Transfer Learning with EfficientNetV2-S: A Deep Learning Approach based on IQ-OTHNCCD Dataset," which addressed the use of deep learning techniques in the automated diagnosis of lung cancer.

On the second day, students Moamen Malkawi, Muhammad Batayneh, Rabie Al-Khatib, and Osama Nayfeh participated with a scientific research entitled "Enhancing Autism Spectrum Disorder Detection: A Novel Ensemble Learning Framework with Multi-Model Integration," through which they presented an innovative framework that relies on integrating multiple models to improve the accuracy of diagnosing autism spectrum disorder.

This distinguished participation represents an important step in supporting students to engage in practical scientific research and raise the university's name in specialized scientific forums.

All appreciation to our hardworking students and sincere thanks to Dr. Suheila for her supervision and continuous support.