Dr.Xiangmin Zhou
School of Computer Science & Info Tech
RMIT University, Melbourne, VIC
Office: 14.11.04
Phone: (61-3) 9925 2118
Email: xiangmin.zhou@rmit.edu.au
Dr.Xiangmin Zhou
School of Computer Science & Info Tech
RMIT University, Melbourne, VIC
Office: 14.11.04
Phone: (61-3) 9925 2118
Email: xiangmin.zhou@rmit.edu.au
Xiangmin Zhou is a Senior Lecturer (Equiv. to associate professor in North America) in Computer Science & Info Tech at RMIT University. She received her PhD in Computer Science from the University of Queensland in 2008. Before joining RMIT University in Feb.2015, she worked as a Research Scientist in CSIRO Canberra ICT Center, Australia, and as a Research Fellow at Centre for Applied Informatics, Victoria University. She also visited AAi group at University of Technology, Sydney. Her research interests include social network analysis and mining, data-driven machine learning, crowdsourcing data processing, recommender systems and big data processing, multimedia database and streams. She is a Senior Member of IEEE.
Call For Papers:
International Journal of Data Science and Analytics on Data Science and AI for Smart Disaster Resilience. https://link.springer.com/journal/41060/updates/27692562
Applied Sciences on Innovative Data Mining Techniques for Advanced Recommender Systems.
https://www.mdpi.com/journal/applsci/special_issues/8K59P09R44
*** News ***:
I am looking for self-motivated PhD students. There are up to 2 international full PhD stipend scholarships and 1 PhD stipend scholarship for students in Australia (international or domestic). The research topic may focus on crowdsourcing data processing, recommender system, database system, data-driven machine learning or data mining areas. Please email your detailed resume and any support documents
I am actively seeking excellent PhD students. If you are interested in my research topics, please do not hesitate to contact me. I also accept visiting scholars/students, Master's students, and Honours students. Students who are supported by or are considering applying for the funding from the Chinese Scholarship Council are welcome to contact me.
Achieved the Top five courses with highest OSI , and Top 1 in top high volume courses with OSI >4, x= enrolments greater than 300 in Semester 1 2025 (Database Concepts ISYS1055, size: 378)
Our “WUI-NITY 4: An Industry-Ready WUI Fire Evacuation Model” has been chosen for the 2025 Fire Protection Research Foundation Medal (USA)!
Our paper "Counterfactual Path Augmentation for Reinforcement Reasoning in Explainable Recommendation " won DASFAA 2025 Best Paper – Runner-Up Award!
Our paper "Cross-Platform Online Team Formation in Spatial Crowdsourcing" has been accepted to KDD 2025 as a regular paper
Our paper "Unified Empirical Evaluation and Comparison of Session-based Recommendation Algorithms." has been accepted to ACM Computing Surveys 2025.
Our paper "Motivation-aware Session Planning over Heterogeneous Social Platforms" has been accepted to TheWebConference 2025 as a regular paper
Our paper "A Responsible and Extendable Context-Aware Recommender System" has been accepted to TheWebConference 2025 as a demo paper
Our paper "Privacy-preserved and Responsible Recommenders: From Conventional Defense to Federated Learning and Blockchain" has been accepted to ACM Computing Surveys 2025.
Achieved the top five OSI high volume course with OSI >4 in Semester 2 2024 (Database Concepts ISYS1055, size: 550)
Elevated to IEEE Senior member
I am a 2024 STEM College Award nominee
Achieved the top two high-volume courses (>200 students) with overall course satisfaction OSI >4 in Semester 1 2024 (Practical/ Database Concepts courses, size: 515 students)
Received Next Generation Graduates Program Round 2023-24 as an Investigator on Artificial Intelligence-Enabled Secure Signal Processing and Connectivity for Autonomous Sensors!
Our paper "Online Ride-sharing for Multiple-Platform Cooperations in Spatial Crowdsourcing" has been accepted to ICDE 2024!
Our paper "Online Anomaly Detection over Live Social Video Streaming" has been accepted to ICDE 2024!
Received ARC Discovery Project grant with collaborators as Lead Chief Investigator on Situation-aware Multi-sided Personalised Analytics in Spatial Crowdsourcing (DP240100356 )!
We were successful with collaborators in NHRA tender for Research Data Management project!
Received New Aim Pty Ltd/Data61 industry research project with industry partners as Lead Chief Investigator on Securing eCommerce: Designing a Privacy-Preserving, AI-Driven Recommendation Framework!
Received NIST USA federal government project as Chief Investigator on WUI-NITY 4: An Industry-Ready WUI Fire Evacuation Model.