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Reza Argha is a lecturer at the Graduate School of Biomedical Engineering at the University of New South Wales (UNSW) Sydney. He obtained his BSc and MSc in Electrical Engineering from Shiraz University in Iran and completed his PhD at the University of Technology Sydney (UTS), Australia, in 2017, where he was recognized with the Chancellor’s Award for his thesis. His expertise lies in biomedical system modeling and control, signal and image processing, health data analytics, and artificial intelligence. Reza's research focuses on leveraging machine learning and deep learning to analyze multimodal biomedical data, including biosignals and medical images, with an emphasis on clinical decision support systems and unobtrusive monitoring of physiological data. His recent projects have concentrated on developing large language models and multimodal learning frameworks that integrate language and physiological signals for advanced health analytics. Reza has successfully supervised multiple PhD students, contributing to the academic community through teaching courses like Biological Signal Analysis and Engineering Design Innovation. He has received several grants supporting innovative AI technologies in healthcare, including projects aimed at improving virtual rehabilitation and developing intelligent dashboards for heart failure management.
Graduate School of Biomedical Engineering, UNSW • Sydney, Australia
Lecturer specializing in biomedical system modeling, control, signal and image processing, and health data analytics.
Includes Business Intelligence, Enterprise Systems, and Cybersecurity Management streams.