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Dr TIAN,
Yu-Chu (Glen) (田玉楚) PhD (

Associate
Professor of Computer Science
(Real-Time Computing & Networks)
Discipline of Computer Science
Faculty of Science and Technology
Queensland University of Technology
GPO
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,
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
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
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)