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A short biography (150 words, but feel free to shorten or tweak)

Dr Liming Zhu is a Research Director at CSIRO’s Data61, the AI/digital arm of Australia’s national science agency, and a conjoint professor at UNSW. He contributes to the OECD.AI’s AI Risks and Accountability, the Responsible AI at Scale think tank at Australia’s National AI Centre, ISO AI standards committees, and Australia’s AI safety standard. His research division innovates in AI engineering, responsible/safe AI, blockchain, quantum software, privacy, and cybersecurity, and hosted Australia’s Consumer Data Right/Open Banking standards setting. Dr Zhu has authored over 300 papers and is a regular keynote speaker. He delivered the keynote “Software Engineering as the Linchpin of Responsible AI” at the International Conference on Software Engineering. His latest book, “Responsible AI: Best Practices for Creating Trustworthy AI Systems” and “Engineering AI Systems: Architecture and DevOps Essentials,” reflect his vision for the rigorous engineering of responsible and safe AI systems for society.

More About Me

I lead the Software and Computational Systems Research Program at CSIRO’s Data61. The research program is innovating in the following research areas: 

• Trustworthy, responsible and safe AI systems
• AI/ML infrastructure & computational and simulation sciences platforms
• Secure data platforms, data sharing and distributed/federated data (analytics) systems
• Business process management and RegTech
• Blockchain and distributed trust
• Software engineering, software architecture, DevOps (especially for AI/ML systems)
• Privacy
• Cybersecurity
• Quantum software and postquantum security

Data61 is part of The Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia’s national science agency.

I am also a conjoint full professor at the School of Computer Science and Engineering, University of New South Wales. I chaired Standards Australia’s blockchain and distributed ledger committee from 2016-2024. I am on AI trustworthiness-related committees at ISO and contribute to Australia’s AI Safety Standard. I am a member of the OECD.AI expert group on AI Risks and Accountability, as well as a member of the Responsible AI at Scale think tank at Australia’s National AI Centre. My research interests include:

• Software architecture
  • software ecosystems, multi-sided platforms and Ultra-Large-Scale systems
  • distributed/federated data platforms
• AI engineering & software engineering for AI (SE4AI)
  • trustworthy and responsible AI
  • AI/ML infrastructure and pipelines
• Blockchain & Distributed Trust
• DevOps
  • SecDevOps and continuous deployment 
• Distributed systems, service/cloud computing
  • dependable and secure distributed systems 
  • service/cloud engineering and RESTful services
• Software engineering
  • system and software development processes and methodologies
  • empirical software engineering

I have published more than 300 academic papers on software architecture, blockchain, governance and responsible AI. I delivered the keynote on “Software Engineering as the Linchpin of Responsible AI” at the International Conference on Software Engineering (ICSE) 2023. My last book, “Responsible AI: Best Practices for Creating Trustworthy AI Systems,” and upcoming book, “Engineering AI Systems: DevOps and Architecture Approaches,” both reflect my vision for rigorous engineering of responsible and safe AI systems for society.