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.