Post-Doc Fellow
Dr Reza Argha
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).
Engineering
Grad Sch: Biomedical Eng
He is currently a Postdoctoral Research Fellow at the Graduate School of Biomedical Engineering, UNSW, Sydney, using his skills in biomedical system modelling and control, signal processing, data analysis and machine learning. Reza has an advanced knowledge of machine learning and deep learning and has applied his knowledge to biosignal processing and analytics. Within this scope, his effort was to pioneer AI-based methods to model complexity of physiological data and thereby develop novel predictive algorithms.
E-mail
Location
LG009 F25 Samuels Building
- Publications
- Media
- Grants
- Awards
- Research Activities
- Engagement
- Teaching and Supervision
- 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)
- 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)
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.
- Development of data-driven algorithms for fall detection using infrared sensors and mmWave radar
- Development of deep-Learning based algorithms for non-invasive blood pressure estimation
- Development of deep-Learning based algorithms for arrhythmia detection through single-lead short-term ECG waveforms
- Clinical decision support systems for telehealth systems
- Human-in-the-Loop control systems
- Smart home IT support for frail elderly people with early dementia who live alone
My Research Supervision
I have supervised one student to successful completion and am currently supervising and co-supervising 3 PhD students.
My Teaching
Biological Signal Analysis (BIOM9621)