James Bailey

Professor James Bailey holds the position of Honorary Professorial Fellow in the School of Computing and Information Systems, Faculty of Engineering and Information Technology at the University of Melbourne, and serves as Program Leader for Artificial Intelligence. He earned his PhD in Computer Science from the University of Melbourne in 1998. His career trajectory includes serving as a Professor at the University of Melbourne prior to his current role as Professor and Head of the Department of Data Science and Artificial Intelligence at Monash University. Recognized as an Australian Research Council Future Fellow, Bailey's research centers on machine learning, artificial intelligence, data mining, and AI assurance. His work features key contributions in adversarial machine learning robustness, learning with noisy labels, local intrinsic dimensionality applied to outlier detection and self-supervised learning, as well as investigations into large language model reasoning mechanisms.

Among James Bailey's influential publications are the highly cited papers "Symmetric cross entropy for robust learning with noisy labels" (Wang et al., 2019), "Improving adversarial robustness requires revisiting misclassified examples" (Wang et al., 2019), "Characterizing adversarial subspaces using local intrinsic dimensionality" (Ma et al., 2018), "Reflection backdoor: A natural backdoor attack on deep neural networks" (Liu et al., 2020), and "Understanding adversarial attacks on deep learning based medical image analysis systems" (Ma et al., 2021). He co-edited the book "Contrast Data Mining: Concepts, Algorithms and Applications" (2012). Notable recent contributions include "Dimensionality-Aware Outlier Detection" (2024, Best Paper Award at SIAM International Conference on Data Mining) and papers accepted to ICLR 2024, NeurIPS 2025, and AAAI 2026. Bailey has significantly influenced the academic community through leadership positions such as Co-General Chair for ACM SIGKDD 2028, Australasian Joint Conference on Artificial Intelligence 2024, and ACM CIKM 2015; Program Co-Chair for IEEE ICDM 2021, PAKDD 2016, and AI 2019; Steering Committee member for IEEE ICDM since 2021; and service on the Editorial Board of ACM Transactions on Intelligent Systems and Technology. His efforts extend to interdisciplinary collaborations promoting AI system deployment with industry and government partners.

Professional Email: baileyj@unimelb.edu.au