Dr Soheila Gheisari is an experienced academic and data analytics professional with extensive teaching, research, and industry experience. She holds a PhD in Computer Science, specialising in Data Analytics and Information Technology, from the University of Technology Sydney.
Dr Gheisari has taught and coordinated undergraduate and postgraduate units across Information Technology, Data Science, Business Analytics, Business Intelligence, Artificial Intelligence, databases, Data visualisation for Decision Making and IT research methods. Her academic experience includes unit coordination, curriculum development, assessment design and moderation, research supervision, and contributions to ACS accreditation activities.
Prior to and alongside her academic career, she gained industry and research experience as a Data Analyst at the Australian Bureau of Statistics and as a Researcher at the Children’s Hospital at Westmead. Her research interests include machine learning, artificial intelligence, data analytics, health data analysis, and predictive modelling. She has published in peer-reviewed journals and conferences and received Teaching Excellence Awards from Victoria University in 2021 and 2022.

Gheisari, S., Salarian, H., Analysis and Prediction of At-Risk Students Using Machine Learning Algorithms, International Conference on Complex, Intelligent, and Software Intensive Systems, pp. 73–81, 2025.

Gheisari, S., Rezaee, A., Implementing deep reinforcement learning algorithms on the tennis environment, International Conference on Complex, Intelligent, and Software Intensive Systems, 240-252, 2024.

Gheisari, S., Shariflou, S., Phu, J., Kennedy, P. J., Agar, A., Kalloniatis, M., Golzan, S. M., A Combined Convolutional and Recurrent Neural Network for Enhanced Glaucoma Detection, Scientific Reports, vol. 11, no. 1, p. 1945, 2021.