May 2022 SCS Awards
Bo has delivered outstanding computing and software engineering support to two key cross-business-unit projects, in the fields of fisheries and agriculture. His web-based portal system allows customers to interact with their data, while providing a high powered and secure back-end for processing.
As the project leader of the AI for Missions: Responsible AI Project, Qinghua has closely engaged with industrial partners and government to foster a collaborative environment and understand the needs of different stakeholders. She is also supervising 6 PhD students in STEM fields and has long term collaborations with Monash University and Swinburne University of Technology.
As the D61 research lead in the ESG for Hydrogen FSP project (a research collaboration with the Energy BU), Qing Liu is playing a key role in promoting collaboration across CSIRO BUs. Additionally, Qing is leading a collaboration with UTAS and industry partners in the field of responsible AI.
Chandra, in collaboration with internal and university partners, has developed a new collaborative distributed ML technique called SplitFed that complements the popular Federated Learning and Split Learning methods, developed by Google and MIT respectively, and allows AI/ML models to be developed and tested across institutions without sacrificing data privacy. His work has been published in the main track of the prestigious AAAI 2022 conference (CORE A*).
The digital certification engineering team has developed an innovated blockchain-based certification system that enables template-based certificate generation and trace-back verification. This is the first domain-independent smart certification system in the world for future business collaborations and governance compliance. The innovation has been successfully patented with an Australian Provisional Patent. The corresponding research paper is accepted by 2022 IEEE International Conference on Blockchain and Cryptocurrency (ICBC).
Zhi’s research on protection against row-hammer hardware attacks is important for the security of computing systems at national, international and commercial levels. His work has been published in top venues including USENIX ATC, IEEE TIFS’21, DAC’20 and IEEE/ACM MICRO’20.
The team effectively collaborated with NAB on the Identity and Access Management (IAM) project, successfully delivering multiple intelligent analytic tools to support automation of IAM tasks in dynamic organisations. Two of the developed tools have already been adapted for production use by NAB. The IAM impact report has been well-received by the CEOs and CTOs of Cyber Security CRC and NAB.
Ming has engaged with a number of high-profile clients including Nokia Bel Labs, SHARP, STMicroelectronics, to build potential collaborations in his research area of private and secure distributed learning. He has also partnered with multiple local and international universities and published several research papers through these collaborations. He also supervises 4 current PhD students.
David has applied a sustained publishing effort over the last few years in his field of peer-to-peer energy trading. He is co-author on a paper in an IEEE journal that won international recognition in March 2022 as one of the top 5 cited papers of the last 3 years with over 160 citations. He has also co-authored a paper in Nature Energy (IF 60.86).
The team was pivotal in organising the Cyber Security Summer School (CSSS) and the CDNG Technology and Science Conference this year in collaboration with University of Queensland and Macquarie University. It was a great achievement given the many challenges with getting the students and speakers physically together during the pandemic.