Keywords
Fields of Research (FoR)
Biomedical engineering, Health informatics and information systems, Machine learning, Deep learning, Artificial intelligence, Signal processing, Digital health, Aged health care, Control Systems, Robotics and Automation, Biomedical Engineering, Biomedical Instrumentation, Rehabilitation Engineering, Health Informatics, Pattern Recognition and Data Mining, Computer VisionBiography
He is currently a Lecturer at the Graduate School of Biomedical Engineering, UNSW Sydney, where he applies expertise in biomedical system modelling and control, signal and image processing, health data analytics, and artificial intelligence. Reza has advanced knowledge of machine learning and deep learning and applies these methods to multimodal biomedical data, including biosignals, medical images, and clinical records. His recent research...view more
He is currently a Lecturer at the Graduate School of Biomedical Engineering, UNSW Sydney, where he applies expertise in biomedical system modelling and control, signal and image processing, health data analytics, and artificial intelligence. Reza has advanced knowledge of machine learning and deep learning and applies these methods to multimodal biomedical data, including biosignals, medical images, and clinical records. His recent research focuses on the use of large language models for developing foundation models and multimodal learning frameworks that integrate language with images, physiological signals, and other health data for clinical decision support, health analytics, and unobtrusive monitoring. His work aims to model the complexity and heterogeneity of physiological data to enable robust prediction, interpretation, and next-generation digital health systems.
My Grants
- AEA Ignite 2025 for "TCC-Rehab: AI Empowered Closed-Loop Virtual Rehabilitation for the Older Person" ($500k)
- Empowered Start-ups for "AI-Powered Knowledge Extraction Platform for Pollution Exposure and Health Risk Assessment" (2025, $60k)
- Burnet Institute (2025-2028) for "Application of AI technology to diagnosis of TB and lung disease" ($300k)
- MRFF Cardiovascular Health Mission Stream 2 (2025) grant for "ID-HF: Intelligent Dashboard for Heart Failure" ($3.9m)
- NHMRC Partneship Grant for "A Virtual Health Approach to Provide Value-Based Care for those With Chronic Comorbidities" ($1.5m)
- ARC Research Hub for Connected Sensors for Health, ARC Industrial Transformation Research Hubs ($5m)
- A novel device for error free estimation of blood pressure, UNSW Translational Seed Fund ($72k)
- Machine learning-based electrocardiographic analysis to predict sudden cardiac death in patients with hypertrophic cardiomyopathy, CVMM Collaborative Grant 2024 ($30k)
- Machine learning-based electrocardiographic analysis to predict cardiac toxicity in patients undergoing cancer treatment, CVMM Collaborative Grant 2023 ($30k)
- Development of a Living Lab and Artificial Intelligence Models for Multi-person Human Pose Estimation, Activity Recognition and Human-Human Interaction Recognition Using mmWave Radar Technology, Ageing Future Institute and Tyree Foundation Institute of Health Engineering ($60k)
- Guardian Angels – unobtrusive fall detection for persons living with dementia, Tyree Foundation Institute of Health Engineering ($30k)
- Development of an unobtrusive fall detection system for older people using artificial intelligence and mmWave radar, Ageing Future Institute, UNSW ($30k)
- GROW Early Career Academics Grant program ($40k)
My Qualifications
Dr Argha received his BSc and MSc in Electrical Engineering from Shiraz University, Iran, and his PhD from University of Technology Sydney (UTS), Australia (2017).
My Awards
Reza’s PhD thesis was included in the Chancellor’s list for 2017 Chancellor’s award for best PhD thesis, which acknowledges his doctoral thesis judged to be of the highest calibre among all the University of Technology Sydney’s theses. He was also twice awarded the UTS FEIT Higher Degree Research Publication Award (2014 and 2015) based on a competitive application related to research capacity and a UTS Faculty of Engineering Research Excellence Award. In 2013 and 2014, during his PhD, he was awarded student travel awards by the conference organisers to attend the IEEE Australian Control Conference (Perth, 2013) and IEEE Annual Conference on Decision and Control (LA, USA, 2014). He also received an Australian Postgraduate Award (APA) Scholarship in 2013, and during his PhD, he received a flagship top-up scholarship from the CSIRO to build an automated exercise testing system by designing a novel control mechanism for cycle-ergometers.
My Research Activities
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Development of data-driven algorithms for fall detection and prediction using unobtrusive sensing technologies, including infrared sensors and mmWave radar.
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Development of deep learning–based algorithms for non-invasive blood pressure estimation from physiological signals.
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Development of AI-based algorithms for cardiac arrhythmia detection using single-lead, short-term ECG waveforms.
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Language–signal and multimodal foundation models for disease prediction, including:
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Lung disease assessment from lung sounds (auscultation audio),
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Cardiovascular disease (CVD) prediction from heart sounds (phonocardiograms) combined with ECG and other biosignals.
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Clinical decision support systems for digital health and telehealth platforms.
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Human-in-the-loop intelligent control systems for safety-critical healthcare applications.
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Smart home and unobtrusive monitoring systems to support frail older adults and people with early-stage dementia living independently.
My Research Supervision
Supervision keywords
Areas of supervision
I am currently looking to accept new students in the areas of digital health, integrative health data analytics, multimodal biosignal and medical image processing, AI-driven clinical decision support systems for chronic disease management, and next-generation, data-driven fall detection and prediction using unobtrusive sensing technologies such as radar and computer vision.
Currently supervising
I have supervised 2 PhD students to successful completion and am currently supervising and co-supervising 9 PhD and 4 MPhil students.
My Teaching
Biological Signal Analysis (BIOM9621)
Engineering Design and Innovation (DESN1000)
Engineering Vertically Integrated Projects (ENGG2600/3600/4600)
Postgraduate Thesis Project Coordinator (BIOM9020/9021/9914)
Location
Contact
Publications
ORCID as entered in ROS
https://orcid.org/0000-0002-8276-9774