Senior Lecturer in Computing · UniSQ

Dr. Taotao Cai

I develop graph learning and trustworthy AI for networked decision-making, now extending to provenance-aware LLM agents and graph-based industrial discovery.

Graph Learning Trustworthy AI LLM Agents Industry Collaboration

Contact & Links

• Email: taotao.cai@unisq.edu.au
• Google Scholar: https://scholar.google.com/citations?user=fVUvY0QAAAAJ
• DBLP: https://dblp.org/pid/168/4683.html
• UniSQ profile: https://staffprofile.unisq.edu.au/Profile/Taotao-Cai
• LinkedIn: https://www.linkedin.com/in/taotao-cai-24a328140/

Profile

Dr Taotao Cai is a Senior Lecturer in Computing at the University of Southern Queensland (UniSQ), Program Director for the Master of Cyber Security, and an Honorary Lecturer at Macquarie University. He has also undertaken leadership roles in HDR coordination and major course convenorship in Data Science and Artificial Intelligence.

He commenced his fully funded PhD in Computer Science at The University of Western Australia in January 2017 and transferred to Deakin University in March 2019 following his principal supervisor’s move. He completed his PhD at Deakin University in November 2020. Prior to this, he obtained an M.Phil. in Computer Science from Shenzhen University. Before joining UniSQ, he was an Associate Research Fellow at Deakin University and a Postdoctoral Research Fellow at Macquarie University.

Research Interests

• Graph learning for networked decision-making (GNNs, influence, diffusion)
• Trustworthy AI for social and information ecosystems (misinformation, robustness)
• Self-improving LLM agents (provenance, reliability, on-device)
• AI for industrial and sustainable systems (construction, energy, transport)

News (recent)

• [07/2026] Awarded two Industry Linked PhD places in Round 7 of the Australian Government’s National Industry PhD Program: Lead Supervisor for an LLM-enabled construction safety project, and Co-Supervisor for AI-enabled fire-retardant materials discovery.
  Combined value: up to $576,216 over four years, plus tuition fee waivers. Project details · Official announcement
• [06/2026] One paper accepted by ECCV 2026 (CORE A*, CCF-B).
• [03/2026] One paper accepted by IEEE Transactions on Services Computing, 2026. (CCF-A, CORE A*).
• [02/2026] One paper accepted by IEEE Transactions on Geoscience and Remote Sensing (TGRS) (SCI Q1, Top-tier). Congratulations to Penghui!
• [01/2026] AEA Ignite Round 2 project (Lead CI, IG250200014) officially announced as funded (AEA $474,886 + Industry $75,000).
  Official announcement: AEA Ignite news
• [08/2025] “Community-Diversified Influence Maximization in Social Networks” selected as one of Information Systems (CORE A*)’s most influential papers of the past decade.
  Virtual special issue: Information Systems (50th Anniversary)
• [08/2025] Congrats to Han Li on successfully forming his Nascent Soul (A Record of a Mortal’s Journey to Immortality).
• [05/2025] Congrats to Penghui — “LG-Umer … for Road Extraction from Remote Sensing Images” accepted by IEEE JSTARS (SCI Q1).
• [03/2025] Secured AEA Ignite Grant (IG240100414; AEA $429,720) for “Intelligent FCAS Agent for Renewable Energy Power Systems.”
  Project announcement: UniSQ LinkedIn post

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