STAFF PROFILE
Associate Professor Jeffrey Chan
Position:
Associate Professor
College / Portfolio:
STEM College
School / Department:
STEM|School of Computing Technologies
Phone:
+61399255270
Email:
jeffrey.chan@rmit.edu.au
Campus:
City Campus
Contact me about:
Research supervision
Jeffrey is a senior lecturer in the School of Computing Technologies. His research interests lie in machine learning, social network analysis, recommender systems, FAT (Fairness, Accountable, Transparent) machine learning, data driven optimisation and interdisciplinary research that combines these fields to solve social and industry based applications. He has worked with industry and non-profit partners in retail, sustainability, energy, manufacturing and health.
PhD, University of Melbourne
- Yeo, G.,Akman, D.,Hudson, I.,Chan, J. (2023). A Stochastic Approximation approach to Fixed Instance Selection In: Information Sciences, 628, 558 - 579
- Chu, R.,Chik, L.,Chan, J.,Gutzmann, K.,Li, X. (2023). Automatic meter error detection with a data-driven approach In: Engineering Applications of Artificial Intelligence, 123, 1 - 13
- Trisedya, B.,Salim, F.,Chan, J.,Spina, D.,Scholer, F.,Sanderson, M. (2023). i-Align: an interpretable knowledge graph alignment model In: Data Mining and Knowledge Discovery, , 1 - 23
- Demirovic, E.,Lukina, A.,Hebrard, E.,Chan, J., et al, . (2022). MurTree: Optimal Decision Trees via Dynamic Programming and Search In: Journal of Machine Learning Research, 23, 1 - 47
- Sultana, N.,Chan, J.,Sarwar, T.,Qin, A. (2022). Learning to optimise general TSP instances In: International Journal of Machine Learning and Cybernetics, , 1 - 16
- Yeo, G.,Hudson, I.,Ackman, D.,Chan, J. (2022). A Simple Framework for XAI Comparisons with a Case Study In: 2022 5th International Conference on Artificial Intelligence and Big Data (ICAIBD), Chengdu, China , 27-30 May 2022
- Ma, J.,Chan, J.,Rajasegarar, S.,Leckie, C. (2022). Multi-attention graph neural networks for city-wide bus travel time estimation using limited data In: Expert Systems with Applications, 202, 1 - 11
- Halder, S.,Lim, K.,Chan, J.,Zhang, X. (2022). POI recommendation with queuing time and user interest awareness In: Data Mining and Knowledge Discovery, 36, 2379 - 2409
- Chen, X.,Zhou, X.,Chan, J.,Chen, L.,Sellis, T.,Zhang, Y. (2022). In press - Complex Event Summarization Using Multi-Social Attribute Correlation In: IEEE Transactions on Knowledge and Data Engineering, , 1 - 16
- Sarwar, T.,Jimeno Yepes, A.,Zhang, J.,Chan, J.,Hudson, I.,Evans, S.,Cavedon, L. (2022). Development and validation of retrospective electronic frailty index using operational data of aged care homes In: BMC Geriatrics, 22, 1 - 11
Note: Supervision projects since 2004
11 PhD Completions and 1 Masters by Research Completions13 PhD Current Supervisions
Machine learning, Data mining, Clustering, Matrix factorisation, Social network analysis, Graph mining, Graph similarities, Graph modelling, Combinatorial optimisation, Dimension reduction
- Machine learning techniques for fuel loss detection at service stations. Funded by: ARC Linkage Project Grants 2019 from (2021 to 2024)
- Learning the Focus of Attention to Detect Distributed Coordinated Attacks (externally led by University of Melbourne). Funded by: ARC Discovery Projects via other university 2020 from (2020 to 2023)
- Archistar Innovation Connection Grant. Funded by: Archistar Pty Ltd Contract from (2019 to 2020)
- Optimisation and machine learning for wetstock management. Funded by: DIIS - Innovations Connections - Competitive from (2018 to 2019)
- Detection of infected internet-of-thing (IoT) devices to prevent distributed denial of service (DDoS) attacks (Administered by The University of Melbourne). Funded by: Oceania Cyber Security Centre from (2018 to 2019)