Personal profile


Dr Faezeh Marzbanrad (Fae) joined Monash University in June 2016, after completing her PhD in Electrical and Electronic Engineering at the University of Melbourne. Her PhD was supported by IPRS and APA scholarships funded by Australian Government. During her PhD she received several awards including the Len Stevens scholarship from University of Melbourne in 2014, student paper award from IEEE Australia council in 2014, and the finalist award of the student paper competition at IEEE Engineering in Medicine and Biology Conference (EMBC 2014) in Chicago, IL, USA. She also received Mortara fellowship in September 2017 and honorable mention for Rosanna Degani Young Investigator Award in both 2015 and 2016, from Computing in Cardiology. In 2021, she was awarded the prestigious Veski Victoria Fellowship by the Victorian Government. She is also the winner of B&T Women Leading Tech Award 2022, in the Education/Research category. In 2022, Fae received the Dean's Award for Honours Supervision. 

Her research interests include medical technology for health equity, biomedical signal processing and machine learning, artificial intelligence in health, affordable medical devices, mobile-health as well as fetal, maternal and neonatal healthcare technologies.

Visit Faezeh's research lab:

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being

Research area keywords

  • Biomedical engineering
  • Signal Processing
  • Machine Learning
  • Statistical and Data Analysis
  • Statistical Machine Learning
  • Time Series Analysis
  • Time Series Classification
  • Stochastic processes
  • Spectral Analysis
  • Biomedical Research, Multidisciplinary

Collaborations and top research areas from the last five years

Recent external collaboration on country/territory level. Dive into details by clicking on the dots or