Miss Hui Tao

Higher Degree by Research Candidate

School of Electrical and Mechanical Engineering

College of Engineering and Information Technology


Hui Tao is a cross-disciplinary researcher focused on applied machine learning and causal inference for cyber-physical systems, with a particular interest in safer autonomous systems. She completed the Master of Computing & Innovation (MCI) at University of Adelaide, where she applied causal methods to examine mechanisms underlying educational inequity; this work has been accepted for presentation at the Australian Association for Research in Education (AARE) (2025).
Prior to returning to academia, she worked for over a decade in China’s real estate marketing sector, leading teams and delivering close to ten projects with multi-million-RMB budgets. This industry experience informs her research style—problem-driven framing, practical delivery, and outcome-focused evaluation.

My research combines causal inference and applied machine learning to make autonomous systems safer and more robust. I’m interested in understanding why failures and anomalies occur in feedback-driven cyber-physical systems, and translating those insights into practical, deployable methods.

Language Competency
Chinese (Mandarin) Can read, write, speak, understand spoken and peer review
English Can read, write, speak, understand spoken and peer review

Date Institution name Country Title
2023 - 2025 University of Adelaide Australia Master of Computing and Innovation
2007 - 2011 Huazhong Agricultural University China Bachelor of Agriculture

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