Swinburne researchers recognised as national leaders

The Australian’s Research magazine names the top Australian researchers and research institutions across 250 fields of research every year.
In summary
- Swinburne has been named as the lead Australian research institution in Automation & Control Theory, Computing Systems and Nonlinear Science by The Australian’s 2023 Research magazine
- Professor Qing-long Han was named as the field leader in Engineering and Computer Science (general)
- Associate Professor Tonghua Zhang was named field leader in Nonlinear Science
Swinburne University of Technology has been named as Australia’s leading research institution in three disciplines – Automation & Control Theory, Computing Systems and Nonlinear Science – in the 2023 rankings of The Australian’s annual Research magazine.
The esteemed annual list also recognised Distinguished Professor Qing-long Han as the top researcher in Engineering and Computer Science and Associate Professor Tonghua Zhang as the Australian leader in Nonlinear Science.
Distinguished Professor Qing-long Han has previously been recognised as a Lifetime Achiever in Automation & Control Theory by The Australian’s Research magazine, following his pioneering work across a long career in power system stability and control and wireless communication.
It is Associate Professor Tonghua Zhang’s fourth consecutive year as the field leader in Nonlinear Science.
Recognising research excellence
Swinburne's Deputy Vice Chancellor, Research, Professor Karen Hapgood, congratulated Distinguished Professor Han, Associate Professor Zhang and the research teams working in these fields on their results.
“As a university of technology, we are so proud to have our leading researchers recognised for their excellence and impact in these engineering, computer science and physics fields,” Professor Hapgood said.
“Professor Han's work on automation and control theory has important applications in managing smart power grids, manufacturing systems, automated highway systems and unmanned aerial vehicles, for example.
“Associate Professor Zhang's research on non-linear systems is helping to better understand the behaviour of biological systems, such as his recent work on Zika virus transmission.
“Congratulations to all our researchers in Automation & Control Theory, Computing Systems and Nonlinear Science on this outstanding and well-deserved national recognition.”
Each year, The Australian’s Research magazine names the top Australian researchers and research institutions across 250 fields of research in eight disciplines. The selection is made objectively based on the number of citations given by peers to research published in top journals.
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