Dr Jiang is a Senior Lecturer in Computer Systems Engineering.
Career Summary
Danchi Jiang obtained Bachelor degree in Mathematics from Wuhan University and Master degree in Control Systems and Applications from East China Normal University, both in China, and PhD in Systems Engineering from Australian National University. He has been awarded the ADCOS scholarship from Australian Agency for International Development from 1994 to 1998 and Postdoctoral Research Fellowship from Chinese University of Hong Kong from 1996 to 1998.
Before joining the School of Engineering, Danchi Jiang was working for NICTA in the SEACS program and adjunctly worked for RSISE, ANU since 2003. During that period he has initialized several postgraduate courses including Neuro-Dynamic Programming and Supervised literature reading. He has also facilitated, as the major applicant, a joint project between NICTA and Seeing Machine on road safety based on intelligent vision system. Prior to that, he spent five years in the software industry and government as a system developer, designer, analyst, and application systems support specialist in the areas of E-management system and intelligent computing. He has spent two years at Chinese University of Hong Kong as a postdoctoral research fellow, where he has developed many artificial neural network for control system design and signal processing, with applications in robotics. He has also developed the first artificial neural network for semi-definite programming.
Danchi has been actively participating in many professional activities. He has been a reviewer for many technical journals such as IEEE Transactions on Neural Networks, Automatica, IEEE Transactions on Automatic Control, etc. He has served in Technical Committees of 2004, 2005 International Conference on Communication, Circuits, and Systems, in Technical Committees of 2004, 2005, 2006, 2007 International Symposium on Neural Networks, and as a Technical Session Co-Chair, 24th American Control Conference.
Research Interests
Research interests include: Optimization in non-Euclidean spaces with application in computer vision, neuro-computing for optimizations, and optimal decision computing and learning.
- Optimisation in non-Euclidean spaces generalises standard optimisation methods from the 3-D space around us to more abstract spaces so that the complex geometric structures can be utilised to obtain efficient optimisation algorithms. One particular application is the design of MIMO antenna system for high speed wireless telecommunication systems.
- Neuro-computing for optimisation is a non-traditional approach that takes advantage of the powerful computing and learning capabilities of modern computers to solve optimisation problems. Such techniques can be widely applicable to control system design, signal processing, and system learning issues.
- Optimal decision computing and learning are concerned with how to obtain an optimal decision in noisy, uncertain or unknown, and changing systems using appropriate computing technology and devices. Possible applications include optimal routing in wireless ad hoc networks.
UnitsSelected Publications:- Y. Zhang, D. Jiang, and J. Wang, 2002, 'A recurrent neural network for solving Sylvester equation with time-varying coefficients
', IEEE Transactions on Neural Networks, vol. 13, pgs. 1053-1063
- D. Jiang and J. Wang, 2002, 'Augmented gradient flows for on-line robust pole assignment via state and output feedback
', Automatica, vol. 38, no. 2, pgs. 279-286
- D. Jiang and J. Wang, 2000, 'On-line learning of dynamic systems in the presence of model mismatch and disturbance', IEEE Transactions on Neural Networks, vol.11, no.6, , pgs. 1272-1283
- D. Jiang and J. Wang, 2000, 'A recurrent neural network for on-line design of robust optimal filters', IEEE Transactions on Circuits and Systems - Part I: Fundamental Theory and Applications, vol. 47, no. 6, pgs. 921-926
- D. Jiang and J. Wang, 1999, 'A recurrent neural network for real-time semidefinte programming
', IEEE Transactions on Neural Networks, vol. 10, no. 1, pgs. 81-93
Full Publication List Current and Supervised Project/s:
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