About
Dr. Min Xu is a Professor at the School of Electrical and Data Engineering (SEDE) within the Faculty of Engineering and Information Technology at the University of Technology Sydney (UTS). She leads the Visual and Aural Intelligence Laboratory at UTS's Global Big Data Technologies Centre (GBDTC). Her research focuses on multimedia, computer vision, and machine learning, with recent emphasis on machine learning algorithms for data analytics, computer vision applications, and CV/RF integrated sensing for healthcare and smart homes.
Education:
- Doctorate of Philosophy, University of Newcastle, Australia
- Master of Computing, National University of Singapore
- Bachelor of Engineering, University of Science and Technology of China
Dr. Xu has authored over 250 publications in top-tier venues like IEEE T-PAMI and CVPR, secured over $5M in research funding since 2018, and holds editorial roles at IEEE Transactions on Multimedia and Neurocomputing. Her work bridges theory and application, addressing challenges in multi-modality data fusion, personalized services, and affective computing.
Key Contributions:
- Pioneer in multimedia affective/semantic analysis and multi-modality fusion
- Developed frameworks for privacy-preserving cross-domain recommendation and WiFi-based human tracking
- Recipient of ARC Future Fellowship (2018–present)
She supervises PhD and Master’s students and teaches courses including Image Processing and Cloud Computing. Current projects emphasize AI-driven healthcare solutions and multimodal AI search engines.
