Data foundations for agents that remember, communicate, and coordinate.
UTS AAII · UNSW DKR Group
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The largest public hierarchical graph dataset for malware analysis: over 200M control flow graphs nested inside 499K function call graphs, covering ten years of Android applications. Accepted at NeurIPS 2026, Evaluations and Datasets Track.
A survey and living resource list on the data side of agentic AI: how these systems process data, retrieve it, remember it, coordinate over it, and fail because of it. 202 papers indexed so far, with an accompanying ICDE 2026 tutorial.
Places at AAII, UTS, from the 2028 Session 1 (28S1) intake onwards. Scholarships are A$39k/year plus a tuition fee waiver. Ten minutes on the form is enough to start.
How to applyVisiting researchers, joint projects, co-supervision across institutions, and data or workload partnerships. If our work overlaps with yours, write to us.
Email the lab
