On February 26, 2026, the Electrical Engineering Department at KFUPM hosted a seminar titled “Toward Perception-Inspired and Physics-Informed Computational Models for Medical Image Quality Assessment and Enhancement,” delivered by Prof. Azeddine Beghdadi (Professor at Université Sorbonne Paris Nord) in Building 59, Room 2021, from 01:00 to 02:00 PM. The seminar was organized by the Interdisciplinary Research Center for Communication Systems and Sensing, in collaboration with the IEEE Signal Processing Society and the Electrical Engineering Department.

During the seminar, Prof. Beghdadi discussed key challenges in medical image quality evaluation, emphasizing that image quality cannot be assessed using objective metrics alone without considering the visibility of diagnostically important structures and the role of human visual perception. He explained how incorporating perception-inspired modeling can lead to more meaningful evaluation methods that align better with clinical needs.

Prof. Beghdadi then highlighted how physics-informed approaches and artificial intelligence can be integrated to develop more robust, interpretable, and clinically relevant solutions for medical image quality assessment and enhancement. He also outlined a long-term vision for strengthening collaboration between radiologists and visual information processing researchers, aiming to establish sustainable, clinically grounded best practices in this field.

The following are the highlights of the event: