The Electrical Engineering department at KFUPM came into existence with the establishment of the University of Petroleum & Minerals in 1967. It is one of the largest departments in the University with an average number of students being approximately 900, 16% of whom are in the graduate program. The department provides 2 four-year undergraduate programs, Bachelor of Science in Electrical Engineering and Bachelor of Science in Electrical Engineering and Physics. The graduate program offers Master of Science and Master of Engineering in Electrical Engineering, Master of Science in Telecommunication Engineering, Master of Sustainable and Renewable Energy, Master of Wireless Communication Networks, and Ph.D. in Electrical Engineering.
The department has about 61 full-time faculty members in 6 specialized areas of research. The Groups in the department are: Energy Systems, Communications, Electronics, Control Systems, Electromagnetics, and Digital Signal Processing. Additionally, a pool of experienced engineers and technicians maintain more than 30 laboratories in the department.
To be globally known for skillful graduates and quality research with focus on national needs.
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:
Battery Aware Geometric State Estimation and Model Adaptation for Underwater Gliders
Data-Driven Monitoring, Modeling, and Stability Enhancement of Inverter-Dominated Power Systems
Towards Turbulent Channel Modeling for Underwater Optical Wireless Communication
The Electrical Engineering Department (EE) at KFUPM provides a world-class education and innovative learning experiences for both undergraduate and graduate students.
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