Arian Prabowo

I’m a Senior Applied Scientist at Oracle Health and AI, working on healthcare AI agents. Previously, I was a Postdoctoral Fellow at UNSW, where I organised an AI competition and published the BTS building time-series dataset at NeurIPS. My PhD at RMIT focused on spatiotemporal deep learning. Across healthcare, buildings, energy, and transport, I’m interested in translating machine-learning research into messy real-world domains.

Algorithms

Artificial Intelligence (AI), Machine Learning (ML), Artificial Neural Networks (ANN), Deep Learning (DL), Large Language Model (LLM), Graph Neural Networks (GNN), Representation Learning, Contrastive Learning, Geometric Deep Learning.

Data

Spatiotemporal, GPS, trajectories, spatial multivariate timeseries, Electronic Health Record (EHR).

Applications

Industry 4.0, Internet-of-things (IoT), Cyber-Physical Systems (CPS), Ubiquotus Computing, Smart City, Urban Computing, Intelligent Transport Systems (ITS), Sensor Networks, Location Based Services, Map Inference, Traffic Forecasting, Electricity Use Forecasting.