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Arian Prabowo is a postdoctoral researcher in the School of Computer Science and Engineering at the University of New South Wales, specializing in machine learning. He holds a PhD in Computer Science from RMIT University, where his research focused on spatiotemporal deep learning, utilizing advanced deep learning methods such as graph neural networks (GNN), self-supervised learning (SSL), and contrastive learning applications for tasks like map inference and traffic forecasting. His work extends to building-level electricity data analysis. Arian is committed to enhancing the understanding and efficiency of machine learning models in real-world applications, and he has actively contributed to the academic community through various research papers, posters, and talks, all of which showcase his expertise in the field.
Includes Business Intelligence, Enterprise Systems, and Cybersecurity Management streams.