Yazan Al-Hayek

Diagnostic radiography3938762

Dr Yazan Al-Hayek

PhD (CSU), MMedRad (CSU), MSc (MedPhys)(JU), BSc (JUST)

Lecturer in Diagnostic Radiography
Wagga Wagga
Building 30 Room 255

Yazan has over 15 years of professional and academic experience in Medical Radiation Sciences. He began his career as a Medical Radiation Practitioner in 2007, working across multiple healthcare facilities, and has held academic roles at leading universities in Australia and overseas. His primary expertise is in Computed Tomography (CT) within Medical Radiation Sciences.

He earned his first Master’s Degree in Medical Physics at Jordan University in 2012, followed by a Master’s Degree in CT at Charles Sturt University (CSU), Australia, graduating with honors. In June 2025, he was awarded a Ph.D. in CT from CSU. His research has been published in peer-reviewed journals and cited widely in the scientific community.

Yazan currently holds a full-time position as a Lecturer. His research interests include quantitative and qualitative aspects of Computed Tomography, contemporary clinical practices, and teaching and learning in Medical Radiation Science and higher education. He is a highly motivated and innovative academic and researcher, dedicated to advancing medical radiation practice through modern technologies and evidence-based approaches.

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Yazan Teaches a wide range of areas including Computed Tomography, Fluoroscopic and Vascular Radiography, General and Advanced Radiography Practice, Radiographic Surface Anatomy, Radiologic Pathology, Radiation Biology, and Scientific Research Methods.

Yazan has eight years of teaching, lecturing with CSU since November 2021, and research experience.

Yazan’s research focuses on radiation dose management and optimisation, image quality, and clinical practices in Computed Tomography (CT). His work investigates the impact of factors such as patient size, localiser direction, off-centring positioning, and tube voltage on Hounsfield Unit (HU) accuracy and patient radiation dose during CT examinations. By applying advanced instrumentation and innovative methodologies, his research generates useful data and develops correction schemes to improve HU accuracy.

This research contributes to optimising CT system performance, enhancing diagnostic efficiency, and reducing patient radiation exposure, while also examining the practical implications of current clinical practices.

In addition to his technical research, Yazan is interested in teaching and learning in Medical Radiation Science, including undergraduate, postgraduate, and higher education programs. He explores effective strategies to integrate research findings into curriculum design and clinical training, bridging the gap between evidence-based practice and education for future medical radiation professionals.