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                                    Dr TIAN, Yu-Chu (Glen)  (田玉楚)   PhD (University of Sydney)

                                    Associate Professor of Computer Science

                                                                                  (Real-Time Computing & Networks)

                                    Discipline of Computer Science

                                    Faculty of Science and Technology

                                    Queensland University of Technology

                                    GPO Box 2434, Brisbane QLD 4001

                                    Australia  

 

                                     Office:  Room 1005, Level 10, 126 Margrate St, Brisbane City
                                     Phone:  +61-7-3138 2177      Fax:      +61-7-3138 2703
                                     Email:   y.tian@qut.edu.au       URL:    http://www.fit.qut.edu.au/~tian    

  

I am also a member of ISR at QUT: Institute for Sustainable Resources (ISR)

I am an Associate Editor for Information Sciences by Elsevier and Asia-Pacific Journal of Chemical Engineering

 


Brief Biography (Chinese Version 中文版)

 

Dr Yu-Chu Tian, Associate Professor, Faculty of Information Technology, Queensland University of Technology (QUT). He is an ARC (Australia Research Council) CoE (College of Experts) recognised Expert of International Standing, and an Assessor for research grant applications and research quality evaluation for ARC and several other funding agencies and organisations. He is a member of IEEE, IEAust, and IChemE. As an Associate Editor, he is serving the journal of Information Sciences published by Elsevier and Asia-Pacific Journal of Chemical Engineering published by Wiley. He is an ACM Reviewer for Computing Reviews. He is also acting as a Reviewer for a number of international journals. He is a technology provider to several Australian companies for complex systems engineering, real-time/embedded systems, and intelligent systems and robotics. Dr Tian is currently supervising 6 PhD students and several postdoc/visiting research fellows.

 

Dr Tian received the B.E. degree in electrical engineering (industrial automation) from Wuhan Institute of Technology, China, in 1982, the M.E. degree in electrical engineering (industrial automation/systems engineering) from East China University of Science and Technology, China, in 1987, and the Ph.D. degree in Computer and Software Engineering from The University of Sydney, Australia, in 2009.

 

Dr Tian joined the Naval Academy of Engineering, China, in 1987, as a Lecturer in systems engineering. From 1994 to 1998, he worked at the Department of Electrical Engineering and the Institute of Industrial Process Control, Zhejiang University, China, where he was promoted to Associate Professor in Electrical Engineering in 1995. From 1996 to 1998, he was on leave from Zhejiang University to Hong Kong University of Science and Technology, as a Research Associate working on complex systems and process control. He moved to Australia in 1998, working as a Research Fellow at Curtin University of Technology. In 1999, he was elected as one of the four Western Australia Strategic Research Fellows. Since 2002, he has been working at the School of Information Technology, Queensland University of Technology, Brisbane, Australia, initially as a Lecturer, later as a Senior Lecturer and the Networking Teaching Group Leader, and currently as an Associate Professor in Computer Science. He also worked as a visiting professor in 2007 at the Department of Computer Science, The University of Maryland at College Park, USA.

 

Prof Tian's current research interests include complex systems and dynamics, systems engineering, real-time computing, embedded systems, intelligent systems and robotics, computer networks, wireless sensor networks, networked control over wired/wireless/mobile networks, control theory and engineering, and other interdisciplinary areas. He has developed leading edge techniques in fundamental investigations, such as macroscopic methodology for complex systems; information method for chaotic time series analysis; adaptive and switching-type constrained control of chaos; estimation of limit cycles; double-controller scheme for industrial control; multifractual nature of network-induced delay; real-time queuing protocol for networked control; compensator for networked control packet dropout, and wavelet-based computing. In development of innovative technologies for large-scale industrial applications, Professor Tian successfully designed, implemented, and deployed a large-scale real-time control system for China's largest and most advanced galvanising production line at BISC; he designed and deployed a software system of network communications and real-time operation for the world-first large-scale multi-robot sweet-corn processing line; he also developed practical systems for complex industrial processes such as reactive distillation, fermentation, thermoplastic injection molding, industrial crystallisation, and simulated moving bed chromatography.

 

Professor Tian received the prestigious Outstanding Young Researcher Award from Zhejiang Province in 1995 while working at Zhejiang University. He also won the Western Australia State Government Strategic Research Fellowship in 1999.

 

As the Chief Investigator, Professor Tian has won/completed 20 research grants/projects, including 3 funded by Australian Research Council (ARC), 2 funded by Australian Cooperative Research Centre (CRC) and 1 funded by Australian Government Department of Education, Science and Training (DEST). He holds a patent on real-time control of large-scale and continuous galvanising line. He has credited over 133 refereed papers in his publication record, including over 50 indexed by SCI, and over 60 indexed by EI. His publications have been cited over 400 times listed in SCI's Web of Science database, and the h-index of his publications has reached 10.

(Last Updated on 08 March 2010)