Georgios Papageorgiou

Georgios Papageorgiou is a Research Associate at the School of Engineering & Physical Sciences, Institute of Sensors, Signals & Systems, Heriot-Watt University. His research focuses on advancing medical imaging technologies, particularly super-resolution ultrasound imaging for applications in cancer diagnosis and ischemia flow analysis. He specializes in developing algorithms for vascular-specific imaging, beamforming techniques, and computational modeling of biomedical systems.

Key research areas include prostate cancer microvascular pattern mapping, ischemia flow dynamics using in silico studies, and the integration of machine learning with ultrasound imaging for enhanced diagnostic capabilities. His work contributes to UN Sustainable Development Goals by improving healthcare technologies and accessibility.

Collaborations span interdisciplinary teams in biomedical engineering and signal processing, with recent studies published in journals like European Radiology Experimental and Physics in Medicine and Biology. His research emphasizes innovation in medical imaging algorithms, hybrid precoding for telecommunications, and spectrum sharing technologies.

Current projects include evaluating super-resolution ultrasound algorithms for clinical applications and exploring stochastic optimization techniques in wireless communication systems. He is part of the Institute of Sensors, Signals & Systems, driving advancements in medical imaging and telecommunications.