STAFF PROFILE
Associate Professor Jeffrey Chan
Position:
Assistant Associate Dean, Data Science & Artificial Intelligence
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 an Associate Professor in the School of Computing Technologies. His research interests lie in machine learning, recommender systems, responsible AI, 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
- Shao, W.,Zhang, Y.,Xiao, P.,Qin, K.,Saiedur Rahaman, M.,Chan, J.,Guo, B.,Song, A.,Salim, F. (2024). Transferrable contextual feature clusters for parking occupancy prediction In: Pervasive and Mobile Computing, 97, 1 - 16
- Halder, S.,Lim, K.,Chan, J.,Zhang, J. (2024). A survey on personalized itinerary recommendation: From optimisation to deep learning In: Applied Soft Computing, 152, 1 - 14
- Ngo, L.,Ha, H.,Chan, J.,Nguyen, V.,Zhang, H. (2024). High-dimensional bayesian optimization via covariance matrix adaptation strategy In: Transaction of Machine Learning Research, , 1 - 31
- 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, 37, 2494 - 2516
- Halder, S.,Lim, K.,Chan, J.,Zhang, X. (2023). Capacity-aware fair POI recommendation combining transformer neural networks and resource allocation policy[Formula presented] In: Applied Soft Computing, 147, 1 - 13
- Kegalle, H.,Hettiachchi, D.,Chan, J.,Salim, F.,Sanderson, M. (2023). Are footpaths encroached by shared e-scooters? Spatio-temporal Analysis of Micro-mobility Services In: 2023 24th IEEE International Conference on Mobile Data Management (MDM), Singapore, 03-06 July 2023
- Yeo, A.,Hudson, I.,Akman, D.,Chan, J. (2023). Sequential feature selection and instance selection using SpFSR and SpFixedIS In: Proceedings of the 6th International Conference on Artificial Intelligence and Big Data, Chengdu, China, 26/05/2023 - 29/05/2023
- Yeo, A.,Hudson, I.,Akman, D.,Chan, J. (2023). Visualising instance selection for improved explainability using feature extraction In: Proceedings of the 25th International Congress on Modelling and Simulation, Darwin, 09/07/2023 - 13/07/2023
Note: Supervision projects since 2004
12 PhD Completions and 1 Masters by Research Completions17 PhD Current Supervisions and 1 Masters by Research Current Supervisions
Machine learning, Data Science, Responsible AI, Recommender Systems, Data-driven Optimisation
- Situation-aware Multi-sided Personalised Analytics in Spatial Crowdsourcing. Funded by: ARC-Discovery Projects from (2024 to 2027)
- 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 2024)
- 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)