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A very short biography

Dr Liming Zhu leads CSIRO’s Data61, Australia’s national science agency’s digital and AI research unit, and is a conjoint professor at UNSW. A global expert in AI engineering and responsible AI, he represents Australia in key international AI safety and standards initiatives and has authored influential books and over 400 publications. (50 words)

A longer biography

Dr Liming Zhu leads CSIRO’s Data61, the digital and AI division of Australia’s national science agency, and is a conjoint professor at UNSW. A recognised leader in AI engineering and responsible AI, he represents Australia in the International AI Safety Science Report and contributes to OECD.AI on Risks and Accountability, ISO AI standards, and Australia’s AI Safety Standards and guidance.

His research leadership spans AI engineering, responsible and safe AI, digital trust, software systems, cybersecurity, and quantum software. He has authored more than 400 publications and delivered keynotes at major international venues, including “Software Engineering as the Linchpin of Responsible AI” at ICSE. His books, Responsible AI: Best Practices for Creating Trustworthy AI Systems and Engineering AI Systems: Architecture and DevOps Essentials, reflect his vision for rigorous, safe and societally beneficial AI systems. (133 words)

More About Me

Before becoming the head of CSIRO’s Data61, I was a research director at CSIRO’s Data61. My former research program was 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

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 400 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.