
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).
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.
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 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)