Arian is a postdoctoral researcher in machine learning, School of Computer Science and Engineering, University of New South Wales. He did his PhD in Computer Science in the at RMIT University Under the supervision of Professor Flora Salim from UNSW,  Dr. Piotr Koniusz from Data61/CSIRO, and Dr. Wei Shao. His PhD was on spatiotemporal deep learning where he used deep learning methods such as graph neural networks (GNN), self-supervised learning (SSL), and contrastive learning to various applications such as map inference and traffic forecasting. After his PhD, he works on building-level, electricity data.

Arian's research interests include spatiotemporal data, geometric deep learning, physics informed nerual networks (PINN), and greybox models. More information about his research such as papers, posters, talks, figures, and codes are available from his website www.arianprabowo.com.