91色情片

Our team

Our research is driven by people working at the intersection of control, optimisation and intelligent systems. Meet the researchers and students developing new approaches to smarter, safer and more autonomous processes.

The Computer Process Control Group brings together researchers and students with expertise spanning control theory, optimisation, data-driven methods and industrial applications. Together, we鈥檙e advancing the methods and technologies that enable smarter, more autonomous systems.
Professor Jie Bao
Professor Jie Bao
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Professor Jie Bao
Professor Jie Bao

Professor Jie Bao

Professor Jie Bao is a Process Control expert of international repute, particularly in dissipativity/passivity based process control. He is the Director of ARC Research Hub for Integrated Energy Storage Systems and also leads the Process Control Research Group, School of Chemical Engineering. He has been awarded over AUD 18 million competitive research funding (excluding infrastructure funding) in the field of process control, control theory and applications, including 13 Australian Research Council Discovery Projects/ARC Large grants, 1 CSIRO National Flagship project, 5 ARC Industry Research Hub Projects, and several major industrial research grants. His research interests include dissipativity theory-based process control, networked and distributed control systems, system behavioural theory and control applications in membrane separation, flow batteries, coal preparation and Aluminium smelting. He has published extensively in major process control and chemical engineering journals. He is an Associate Editor of Journal of Process Control (an International Federation of Automatic Control affiliated journal), Digital Chemical Engineering (an IChemE affiliated journal) and Journal of Franklin Institute (established in 1826). He is appointed by the ARC to the College of Experts. He also serves on the International Federation of Automatic Control Technical Committees: Chemical Process Control (TC6.1); Mining, Mineral and Metal Processing (TC6.2).

Room 301, Science and Engineering Building (E8)
School of Chemical Engineering
91色情片 SYDNEY NSW 2033

Telephone: +61 (2) 9385 6755
Facsimile: +61 (2) 9385 5966
Email: j.bao@unsw.edu.au

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Deputy Dean of Emeriti: Maria Kazacos
Emeritus Professor Maria Skyllas-Kazacos
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Deputy Dean of Emeriti: Maria Kazacos
Deputy Dean of Emeriti: Maria Kazacos

Emeritus Professor Maria Skyllas-Kazacos

Emer. Prof. Maria Skyllas-Kazacos received the B.Sc. degree with First-Class Honours and the University Medal in Industrial Chemistry from 91色情片 Sydney, Australia, and the Ph.D. degree from 91色情片. Prof Maria Skyllas-Kazacos is an international authority in electrochemical processes, including aluminium smelting and energy storage, particularly renowned for her pioneering work in vanadium redox flow battery (VFB) technology. Throughout her distinguished academic and industry career, she has made outstanding contributions to electrochemical engineering, aluminium electrowinning, sustainable energy solutions and also contributed to aluminium smelting cell operation and control. As an Emeritus Professor at 91色情片, she continues to provide strategic leadership, mentoring emerging researchers, and advising industry partners on energy storage advancements. Her work has influenced policy, industry adoption, and technological innovation, shaping the future of battery storage and grid resilience. She is a Fellow of Australian Academy of Technological Sciences and Engineering, a Fellow of Institution of Engineers, Australia and a Fellow of Royal Australian Chemical Institute.

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Dr. Shail Godiwala
Dr. Shail Godiwala
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Dr. Shail Godiwala
Dr. Shail Godiwala

Dr. Shail Godiwala

Level 3, Science and Engineering Building (E8)

Shuangyu Han
Dr. Shuangyu Han
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Shuangyu Han
Shuangyu Han

Dr. Shuangyu Han

Dr. Shuangyu Han received the B.E. (Hons) degree in Electrical Engineering and the Ph.D. degree in automatic control from the University of New South Wales, Australia, in 2021 and 2026 respectively. His research interests include big data-driven predictive control and probabilistic machine learning.

Level 3, Science and Engineering Building (E8)

Email:听shuangyu.han@unsw.edu.au

Lai Wei
Dr. Lai Wei
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Lai Wei
Lai Wei

Dr. Lai Wei

Dr. Lai Wei received his B.E in Electrical Engineering and Automation from the Tianjin University in 2016. He completed his M.E. in Electrical Engineering from the University of Melbourne with a First-Class Honours and two Dean鈥檚 Lists. He finished his PhD in 2022 entitled 鈥渄iscrete-time contraction analysis and controller design for nonlinear processes鈥 at 91色情片, Sydney. Lai is currently a postdoctoral research fellow with the School of Chemical Engineering, 91色情片, Sydney, Australia. He is involved in nonlinear control theory development for ARC Discovery Projects, Vanadium battery energy management system design and designing smart sensor for a major aluminium smelter in the world. His current focus lies in the development of approaches to flexible process control using contraction theory, dissipativity theory and machine learning techniques.

Level 3, Science and Engineering Building (E8)

Email: lai.wei1@unsw.edu.au

Choon Jie Wong
Dr. Choon Jie Wong
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Choon Jie Wong
Choon Jie Wong

Dr. Choon Jie Wong

Dr. Choon Jie Wong is a Lecturer in the School of Chemical Engineering. Through the Australian Research Council IESS Research Hub, he develops novel methods to use energy-intensive, high-temperature aluminium smelting cells as virtual energy storage in grid forming systems, supporting demand respond and enabling flexible manufacturing of green metals. His expertise in light metals process modelling, digital twinning, and applied control technologies has contributed to three international industrial projects valued at over A$2M. Choon Jie received his PhD in Chemical Engineering from 91色情片 in 2022 and has received recognition including a University Medal, First-Class Honours, two Dean鈥檚 Awards, and multiple scholarships. He was awarded a Teaching Microgrant to innovate in teaching and curriculum modernisation.

Level 5, Science and Engineering Building (E8)

Email:听choonjie.wong@unsw.edu.au

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Yitao Yan
Dr. Yitao Yan
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Yitao Yan
Yitao Yan

Dr. Yitao Yan

Yitao Yan received his B.E. (Hons) in Chemical Engineering from the University of New South Wales (91色情片) in 2015. He completed his PhD in 2019 at 91色情片 on the behavioural approach to distributed control of large-scale interconnected systems. His research interests include behavioural systems theory, dissipativity theory and contraction theory, as well as their applications to distributed control. His current focus is on the development of a big-data-driven distributed control framework for plantwide systems using behavioural systems theory and machine learning techniques.

Level 5, Science and Engineering Building (E8)

Email: y.yan@unsw.edu.au
Jonathan Henderson
Jonathan Henderson
PhD 2026

Data-driven distributed control for LTI stochastic systems (Supervisors: Prof. Jie Bao, Prof. Biao Huang, Dr. Yitao Yan).

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Yimin(Hannah) Liao
Yimin (Hannah) Liao
PhD 2024

Advanced monitoring and control of vanadium flow batteries (Supervisors: Prof. Jie Bao, Emer. Prof. Maria Skyllas-Kazacos, A/Prof. Chris Menictas, Dr. Lai Wei).

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Ye Lu
Ye Lu
MPhil 2026

Data-driven Control of Stochastic Systems using a Behavioral Systems Theory Framework (Supervisors: Prof. Jie Bao, Dr. Yitian Yao).

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Haoxuan Peng
Haoxuan Peng
PhD 2026

Data-driven modelling of milling processes (Supervisors: Prof. Jie Bao, Prof. Cordelia Selomulya, A/Prof. Runyu Yang).

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Yu Tong
Yu Tong
PhD 2025

Data-Driven Predictive Control of Nonlinear Systems Using Behavioral Systems Theory and Machine Learning (Supervisors: Prof. Jie Bao, Dr. Yitao Yan, Prof. Wei Wang).

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Tianze Zhang
Tianze (Harlem) Zhang

Big-Data-Driven Distributed Predictive Control For Manufacturing Processes Using Behavioral Systems Framework (Supervisors: Prof. Jie Bao, Dr. Yitao Yan, Prof. Biao Huang).

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