High-resolution photos: Dropbox folder
A very short biography
Dr Liming Zhu FTSE is a Research Director at CSIRO and former Head of Data61, Australia’s national digital and AI research capability. He is a conjoint professor at UNSW, a Fellow of the Australian Academy of Technological Sciences and Engineering, and contributes to major international AI safety and standards initiatives. (50 words)
A longer biography
Dr Liming Zhu FTSE is a Research Director at CSIRO and former Head of Data61, Australia’s national digital and AI research capability, and a conjoint professor at UNSW. He is a Fellow of the Australian Academy of Technological Sciences and Engineering. A recognised leader in AI engineering and trustworthy AI, he contributes to the International AI Safety Report, OECD.AI work on Risks and Accountability, ISO AI standards, and Australia’s AI safety standards and guidance.
His research leadership spans AI engineering, trustworthy, responsible and safe AI, and cybersecurity. He has authored more than 400 publications and delivered keynotes at major international venues, including “Software Engineering as the Linchpin of Responsible AI” at the International Conference on Software Engineering. His books, Responsible AI: Best Practices for Creating Trustworthy AI Systems and Engineering AI Systems: Architecture and DevOps Essentials, reflect his vision for trustworthy, safe and societally beneficial AI systems. (147 words)
More About Me
I am a Research Director within CSIRO’s Technology Research Unit and former Head of Data61, Australia’s national digital and AI research capability. I am a Fellow of the Australian Academy of Technological Sciences and Engineering (FTSE). My work focuses on the engineering, deployment, operation and governance of trustworthy, safe and high-impact AI and digital systems, combining research leadership with national capability building and large-scale collaboration across government and industry.
My research and leadership span:
- AI and Agent Engineering, including architecture and DevOps for AI systems
- Responsible and Safe AI
- Cybersecurity, Privacy and Digital/Supply Chain Resilience
- AI/ML Infrastructure and Computational Platforms
- Secure Data Platforms, Data Sharing and Distributed/Federated AI Systems
- Business Process Management, RegTech and Digital Trust Infrastructure
- Distributed Trust, Digital Assets and Software Ecosystems
- Quantum Software and Post-Quantum Security
I contribute to Australia’s AI safety, cybersecurity, assurance and digital trust capability through work on AI safety and assurance standards, trustworthy AI engineering, secure digital infrastructure, and international AI safety science collaboration. My teams have also played a leading role in major national digital trust and data-sharing initiatives, including the Consumer Data Right (CDR) Data Standards Body.
I am a conjoint full professor at the School of Computer Science and Engineering at the University of New South Wales. I contribute to international and national initiatives including the International AI Safety Report, OECD.AI work on Risks and Accountability, ISO AI standards, and Australia’s AI safety standards and guidance. I previously chaired Standards Australia’s blockchain and distributed ledger committee from 2016 to 2024.
My research interests include AI engineering, software architecture, trustworthy and responsible AI, AI agents and orchestration systems, AI/ML infrastructure, software ecosystems, distributed and federated systems, digital trust, DevOps, cybersecurity, and dependable large-scale software systems.
I have published more than 400 academic papers and delivered keynote talks at major international conferences, including “Software Engineering as the Linchpin of Responsible AI” at ICSE 2023. My books, Responsible AI: Best Practices for Creating Trustworthy AI Systems and Engineering AI Systems: Architecture and DevOps Essentials, reflect my vision for rigorous engineering approaches to trustworthy, safe and societally beneficial AI systems.
