Collaborative Human-Centric AI Systems (CRUISE) Lab, led by Prof. Flora
Salim, works on machine learning for
time-series, spatio-temporal data, and multimodal sensor data, and on trustworthy AI (including fairness,
explainability, mechanistic interpretablity) for decision making systems. Our research is supported by the ARC,
CRC, and many local and international industry and government partners.
cruiseresearchgroup
🤗 CRUISEResearchGroup
flora.salim@unsw.edu.au
Recent News
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2026-08-13 — CRUISE has 1 paper accepted at CIKM 2026, 1 at CoLLAs 2026, 3 across UbiComp/IMWUT/ISWC 2026, and 11 at SIGSPATIAL 2026, covering topics from urban mobility and spatial AI to time-series forecasting, multimodal sensing, and continual learning. Congratulations to all authors and collaborators!
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2026-06-05 — Flora was elected Vice Chair of ACM SIGSPATIAL following the 2026 ACM SIG election.
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2026-05-29 — Flora presented a public seminar at Geoscience Australia titled “Building our own multimodal AI models: what does it look like for Australian Geoscience data?”.
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2026-02-13 — Flora is giving a talk at the Precision Convergence Webinar Series, co-hosted by The McGill Centre for the Convergence of Health and Economics (MCCHE) and the Pittsburgh Supercomputing Center, titled “Foundation Models for Time-Series and Spatio-Temporal Data”.
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2025-11-06 — Big news for CRUISE at SIGSPATIAL 2025 hosted at the University of Minnesota! Du Yin and co-authors won Best Research Paper for XXLTraffic. Flora gave an invited talk titled “Towards World Models for Urban Mobility” in the Workshop on Urban Mobility Foundation Models organized by Google Research. CRUISE members Du Yin, Haley Stone, Wei Shao, Wilson Wongso, Yang Yang, Yufan Kang, and Yunzhi Liu also presented their work.
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2025-10-13 — Tahia Tazin and team won the runner-up position in the AI4Pain Grand Challenge at ICMI 2025, among 20 competing teams!
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2025-10-09 — Flora gave a keynote talk at 13th International Conference on Affective Computing and Intelligent Interaction (ACII 2025) titled “Modelling and Simulating Cyber-Physical-Social Behaviours with Multimodal Data”.
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2025-09-11 — Flora's co-authored paper PAR-AdvGAN: Improving Adversarial Attack Capability with Progressive Auto-Regression AdvGAN by Zhang et al. won the Best Paper Award (Research Track) at ECML PKDD 2025!
School of Computer Science and Engineering, UNSW, Sydney NSW 2052