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Dr Qinghua Lu

/tsing hua/

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Dr Qinghua Lu is a principal research scientist and leads the Responsible AI science team at CSIRO's Data61. She is the winner of the 2023 APAC Women in AI Trailblazer Award. She is part of the OECD.AI’s trustworthy AI metrics project team. She also serves a member of Australian’s National AI Centre Responsible AI think tank. She is an IEEE senior member. She received her PhD from University of New South Wales in 2013. Her current research interests include responsible AI, software engineering for AI/GenAI, and software architecture. She has published 150+ papers in premier international journals and conferences. Her recent paper titled “Towards a Roadmap on Software Engineering for Responsible AI” received the ACM Distinguished Paper Award. Her forthcoming book, “Responsible AI: Best Practices for Creating Trustworthy AI Systems”, is set to be published by Pearson Addison-Wesley at the end of 2023.

Her recent research includes Responsible AI Pattern Catalogue, AI Risk Assessment, Multimodal Responsible AI Guardrails, Responsible AI Agent Design.


Google Scholar profile

Qinghua served as an editor or reviewer for many journals and as PC member for many conferences and workshops. Here is the list of professional services in the recent 5 years.
* PC member: ICSE, FSE, ICSA, AIware, NeurIPS, ICML, ICLR, CAI, BPM, SAML, IEEE ICBC, etc.
* Associate Editor: IEEE Transactions on Artificial Intelligence; IEEE Communications Surveys and Tutorials; Engineering Applications of Artificial Intelligence; Elsevier Blockchain Research and Applications
* Organisation chair, International Workshop on Responsible AI Engineering

Achievements and Awards

  • 2023-2023

    APAC Women in AI Trailblazer Award
    APAC Women in AI

  • 2022-2022

    ACM SIGSOFT Distinguished Paper Award

  • 2021-2025

    Julius Career Award

  • 2020-2020

    Women in Science
    Data61 Software and Computational Systems Program


We have publications by Dr Qinghua Lu