IEEE IMAS 2026 Keynote Speakers

Prof. Amin Abbosh is a Fellow of the IEEE and Professor at The University of Queensland (UQ), Australia, where he leads the Electromagnetic Innovations (ƐMAGIN) research group.

Throughout his career, he has served as Head of the UQ School of Information Technology and Electrical Engineering, Director of Research, Director of Research Training, Director of the Medical Electromagnetic Imaging Cooperative Research Centre, and a member of the UQ Academic Board.

He is also a member of the Australian Research Council College of Experts and the chief inventor on more than 20 patents licensed to the medical industry, forming the core intellectual property of two Australian MedTech companies.

Prof. Abbosh has authored more than 600 refereed journal and conference publications covering electromagnetic theory, applied research, and industrial innovation.

His honors include receiving the IEEE APS King Prize twice, multiple University of Queensland Excellence Awards in Leadership, Research, Entrepreneurship, and PhD Supervision, as well as several Best Paper Awards at leading international conferences.

Medical microwave imaging has emerged as a promising, safe, low-cost, and portable alternative or complement to conventional medical imaging techniques. Advances in antenna technology, microwave sensing, computational electromagnetics, inverse scattering, and imaging algorithms have significantly improved its clinical potential.

This keynote reviews the evolution of medical microwave imaging from its electromagnetic foundations, highlighting the major scientific advances, remaining challenges, and the importance of physics-based modeling for reliable imaging, detection, and diagnostic performance.

The presentation introduces the emerging concept of physics-integrated artificial intelligence, where data-driven AI techniques are combined with electromagnetic models to improve image reconstruction, enhance robustness, reduce computational complexity, and enable real-time clinical decision support.

Drawing on recent research achievements, the talk demonstrates how integrating electromagnetic physics with AI is transforming medical microwave imaging and accelerating its translation from laboratory research into practical healthcare applications.

The keynote concludes with an outlook on future research opportunities and the next generation of intelligent microwave imaging systems that combine physics and artificial intelligence to deliver more accurate, reliable, and accessible healthcare solutions.