AI System: Architecture & Engineering
Dr Qinghua Lu | CSIRO’s Data61
6th March 2025
DigiSAS Lab, UTS has invited Dr Dr Qinghua Lu | CSIRO’s Data61 to conduct a research seminar for academia and industry participants on the timely topic of “AI System: Architecture & Engineering”.
Speaker Bio:
Dr Qinghua Lu is a principal research scientist and leads the Responsible AI science team at CSIRO’s Data61, Australia. She was the winner of the 2023 Asia-Pacific Women in AI Trailblazer Award. Dr. Lu contributes to several key AI safety initiatives, including Australia’s AI Safety Standard, OECD.AI’s trustworthy AI metrics project, International Working Group on AI Metrology, and EU General-Purpose AI Code of Practice.
Dr. Lu has published over 150 papers in premier international journals/conferences. She is an associate editor for IEEE Transactions on AI and Engineering Applications of AI. She serves as Area Chair of Software Engineering for AI at ICSE’26, and the Program Chair for AIware’25 and CAIN’25. She is also the program committee member or reviewers of top-tier conferences, including IJCAI, AAAI, NeurIPS, ICML, ICSE, FSE, ICSA, etc.
Her recent paper titled “Towards a Roadmap on Software Engineering for Responsible AI” won the ACM Distinguished Paper Award. Dr. Lu’s book, “Responsible AI: Best Practices for Creating Trustworthy AI Systems”, published by Pearson Addison-Wesley in December 2023, is the world’s first responsible AI book for practitioners and became Amazon’s No. 3 AI book bestseller.
Her forthcoming book, “Engineering AI Systems: Architecture and DevOps Essentials” is set to be published by Pearson Addison-Wesley in March 2025.
