Qinghua Lu

Dr Qinghua Lu is a leading researcher and Group Leader of the Software Systems Research Group at CSIRO's Data61, Australia’s premier data science and innovation center. She is a key contributor to international AI safety and governance initiatives, including Australia’s AI Safety Standard, OECD.AI’s trustworthy AI metrics, and the EU General-Purpose AI Code of Practice.

Her research centers on Responsible AI, AI Safety, and Software Engineering for AI, with a focus on Agent Engineering, AI architecture, and DevOps. Her work has set foundational directions in the field, particularly through her widely cited roadmap on engineering responsible AI systems.

Dr Lu has authored over 200 publications in top-tier journals and conferences such as ICSE, FSE, AAAI, and NeurIPS. Her recent publications reflect a strong trend in trustworthy AI, software engineering practices for AI systems, and evaluation frameworks. Her 2023 paper Towards a Roadmap on Software Engineering for Responsible AI won the ACM Distinguished Paper Award, highlighting its impact.

She has received numerous honors, including:

• 2023 APAC Women in AI Trailblazer Award
• IEEE HITC Mid Career Award (2023)
• Julius Career Award (CSIRO, 2021–2025)
• Multiple ACM SIGSOFT Distinguished Paper Awards
• IEEE Transactions on AI Outstanding Associate Editor (2024)

Dr Lu actively contributes to the academic community as Associate Editor for IEEE Transactions on Artificial Intelligence, Engineering Applications of AI, and other journals. She serves as Area Chair for ICSE’26, Program Chair for AIware’25 and CAIN’25, and has reviewed for top conferences including NeurIPS, ICML, and IJCAI. She leads a vibrant research group focused on Agent Engineering and AI Safety, driving innovation in architecture design, evaluation, compliance, and supply chain security for AI systems.