Three Monash AI Researchers named finalists for the Women in AI Awards 2023 APAC

The finalists for the Women in AI Awards 2023 APAC have been announced and we are thrilled to see three Monash University researchers recognised for their leadership in AI.

Into its third year in the ANZ/APAC region, the WAI Awards APAC will honour the top women in the Asia-Pacific region, advancing AI across various sectors - agribusiness, education, law, climate, finance, environment & biodiversity, space, manufacturing, creative industries, health, humanitarian action, mining, cyber security, infrastructure, sport, defence and intelligence, innovation and communicating AI.

Monash Data Futures Institute continues its partnership with Women in AI Awards APAC as a Principal Partner in 2023 after supporting the 2022 edition as the Premier Partner, and the inaugural edition in 2021 as the Premium Partner.

The three Monash Researchers who have been shortlisted as finalists are:


Faezeh Marzbanrad

Dr Faezeh Marzbanrad (Fae) joined the Faculty of Engineering at Monash University in 2016, after completing her PhD in Electrical and Electronic Engineering at the University of Melbourne. She is a recipient of the 2017 Mortara Fellowship and received an honourable 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.

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.


DR YI-SHAN TSAI - AI in Education

Yi-Shan Tsai

Dr Yi-Shan Tsai is a lecturer in the Faculty of Information Technology and a member of the Centre for Learning Analytics at Monash (CoLAM). She is also a member of the Digital Education Research Group at Monash and an associate scholar of the Centre for Research in Digital Education and the Centre for Research in Education Inclusion and Diversity at the University of Edinburgh.

She is particularly known for her achievements on an award-winning project, SHEILA (Supporting Higher Education to integrate Learning Analytics), which has informed policy development for learning analytics in over 200 higher education institutions around the world. Yi-Shan's current research aims to enhance learning, teaching, and educational environments with the adoption of digital and data technologies.



Rizka Purwanto

Associate Professor Rizka Purwanto is currently an Assistant Professor with Monash University Indonesia. Prior to this role, she was a postdoctoral researcher at UNSW Canberra Space, and has experience working as a software engineer in Australia and Indonesia.

Her current research interests include scams and phishing attacks, specifically on improving cybersecurity awareness, and developing AI based methods that could automatically help detect phishing attacks and scams. Besides AI for cybersecurity, she is also working in the area of AI for space, particularly on the use of federated learning on miniaturised satellite constellations, and space object characterisation using lightcurve data with deep learning.