RESEARCH · PUBLICATIONS & AWARDS

Work you can check.

Peer-conference research, published under named authors and judged by the field. Every entry on this page is verifiable.

  • Best Paper Award: AUBEA 2025
  • Latest presentation: WSBE26, Melbourne
  • Methods: Data mining, LLM, CV
  • Applied to: Housing delivery

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Best Paper Award,
AUBEA 2025.

At the 48th Australasian Universities Building Education Association International Conference, this planning-approvals study won the Best Paper Award, sponsored by MDPI Sustainability.

Best Paper Award presentation at the AUBEA 2025 International Conference, University of Canberra
Unlocking the Building Pipeline in a Housing Crisis: Data Mining South Australia's Planning Approval Processes
  • Venue: University of Canberra
  • Dates: 26 to 28 November 2025
  • Authors: Y. Zhang, X. Fang, R. Chang, L. Jiang
  • Theme: Advanced Construction Project Management

What the winning paper found.

The research tackles the delivery side of Australia's housing crisis: not whether homes are approved, but how long approval takes and why.

  • A first quantification: Data mining South Australia's planning approval records showed that up to 60% of approval delays trace to procedural complexity rather than the merits of the application.
  • A rigorous method: Approval processes were modelled with a generalised linear mixed-model (GLMM) framework over mined planning records, separating structural drivers from case-by-case noise.
  • Evidence for reform: The findings give policymakers an empirical basis for targeted process reform: streamlining procedure can return significant time to the industry and accelerate housing delivery.

From approval data
to drawing intelligence.

Presented at the World Sustainable Built Environment Conference 2026 in Melbourne: how large language models and computer vision turn design drawings into evidence for regulatory decisions.

Research presentation at the WSBE26 World Sustainable Built Environment Conference, Melbourne
AI-Assisted Decision Support for Drawing-Based Residential Compliance Review: Integrating Large Language Models and Computer Vision
  • Conference: WSBE26
  • Venue: MCEC, Melbourne
  • Presenter: Yupeng Zhang
  • Co-authors: R. Chang, X. Fang, W. Jiang

WHERE IT SHIPS

Each paper points at a running system.

Publications here are not an endpoint. Each one defines how a Cyberate capability works, and each capability feeds data back into the next research question.

PublicationRecognitionWhat it studiedWhere it ships
Unlocking the Building Pipeline in a Housing CrisisBest Paper Award, AUBEA 2025Procedural complexity behind SA planning approval delaysFeasibility Intelligence, Compliance & ApprovalsView →
AI-Assisted Decision Support for Drawing-Based Compliance ReviewPresented at WSBE26, MelbourneLLMs and computer vision for drawing-based compliance reviewDocument Intelligence, Compliance & ApprovalsView →

Questions we get about the research.

Where can I read the papers?

Both papers were presented at international peer conferences. Contact our research team and we will direct you to the published or presented version of either paper.

Who conducts Cyberate's research?

Research is conducted with university partners and published under named authors, including Cyberate's own team. The author lists on this page match the official conference records.

Does this research shape the products?

Yes. The AUBEA paper's approval-delay analysis informs Feasibility Intelligence and Compliance & Approvals, and the WSBE26 work defines how Document Intelligence reads drawings.

Can we commission research like this?

Yes. Market studies, operational data analysis and methodology research run through the same practice, with scope and method agreed up front.

How should the papers be cited?

AUBEA paper: Zhang, Y., Fang, X., Chang, R., & Jiang, L. (2025). Unlocking the Building Pipeline in a Housing Crisis: Data Mining South Australia's Planning Approval Processes. 48th AUBEA International Conference, University of Canberra. WSBE26 paper: Zhang, Y., Chang, R., Fang, X., & Jiang, W. (2026). AI-Assisted Decision Support for Drawing-Based Residential Compliance Review: Integrating Large Language Models and Computer Vision. WSBE26, Melbourne.

Research with somewhere to go.

The same questions these papers answer academically, our systems answer operationally. See how the practice connects to what we build, or bring us a question of your own.

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