Professor Gu Fang

Professor Gu Fang

Associate Dean, International & Director of Academic Program (PG Engineering),
Dean's Unit, School of Eng, Design & Built Enviro.

Associate Dean, International,
Dean's Unit, School of Eng, Design & Built Enviro.

Professor,
Dean's Unit, School of Eng, Design & Built Enviro.

Biography

Gu Fang received his Bachelor of Engineering degree in Mechanical Automation from Shanghai University of Technology in China, and his PhD from the University of Sydney in Australia. He is a Professor in Mechatronics Engineering at WSU. He is the Associate Dean (International) in the School of Engineering. Gu's teaching and research are mainly in the areas of robotics, control systems and artificial intelligence. He won a national teaching award from the Office for Learning and Teaching (OLT),  a Gold Disruptors award from Australian Computer Society, and a teaching award from WSU.  He has worked at universities both in Australia and in China and has published many papers in books, international journals and conferences. He has served as a reviewer for many international journals and conferences and is a member of Engineers Australia and IEEE.

This information has been contributed by Professor Fang.

Qualifications

  • PhD University of Sydney
  • BEng Shanghai University of Technology

Awards

  • Distinguished Teaching Fellow, - Western Sydney University 2015-10-20

Organisational Unit (School / Division)

  • Dean's Unit, School of Eng, Design & Built Enviro.
  • Dean's Unit, School of Eng, Design & Built Enviro.
  • Dean's Unit, School of Eng, Design & Built Enviro.

Contact

Email: G.Fang@westernsydney.edu.au
Phone: (02) 9685 4606
Mobile:
Location: ED.G.155
Parramatta

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Publications

Books

  • Yang, C., Zhang, Z., Zhao, M., Fang, G. and Islam, R. (2019), 'Proceedings of the 1st International Conference on Mechanical and Manufacturing Engineering Research and Practice (iCMMERP-2019): 24-28 November 2019, Sydney, Australia', : Science, Technology and Management Crescent Australia 9780648268185.

Chapters in Books

  • Liyanapathirana, R., Fang, G. and Leo, C. (2019), 'Evolution of Master of Engineering coursework degrees at Western Sydney University : past, present and future ', Blended Learning in Engineering Education: Recent Developments in Curriculum, Assessment and Practice, CRC Press 9781138056220.
  • Kwok, N., Wang, D., Ha, Q., Fang, G. and Chen, S. (2013), 'Locally-equalized image contrast enhancement using PSO-tuned sectorized equalization', Computational Intelligence in Image Processing, Springer 9783642306204.
  • Micallef, K., Fang, G. and Dinham, M. (2011), 'Automatic Seam Detection and Path Planning in Robotic Welding', Robotic Welding, Intelligence and Automation: RWIA'2010, Springer-Verlag 9783642199585.
  • Wang, D., Kwok, N., Fang, G. and Ha, Q. (2011), 'Anytime Ant System for Manipulator Path Planning', Robotic Welding, Intelligence and Automation RWIA'2010, Springer-Verlag 9783642199585.
  • Fang, G., Kwok, N. and Wang, D. (2010), 'Automatic Rule Tuning of a Fuzzy Logic Controller Using Particle Swarm Optimisation', Artificial Intelligence and Computational Intelligence, Springer-Verlag 3642165265.
  • Macdonald, G. and Fang, G. (2009), 'Effects of Diversity on Optimality in GA', Artificial Intelligence and Computational Intelligence, Springer-Verlag 9783642052521.
  • Xu, J., Liu, D. and Fang, G. (2007), 'An Efficient Method for Collision Detection and Distance Queries in a Robotic Bridge Maintenance System', Robotic Welding, Intelligence and Automation, Springer 9783540733737.
  • Xu, Z. and Fang, G. (2004), 'Fuzzy-neural impedance control for robots', Robotic Welding, Intelligence and Automation, Springer Verlag 3540208046.

Journal Articles

  • Sharma, S., Zou, J. and Fang, G. (2023), 'A dual watermarking scheme for identity protection', Multimedia Tools and Applications, vol 82, no 2 , pp 2207 - 2236.
  • Sharma, S., Zou, J., Fang, G., Shukla, P. and Cai, W. (2023), '[In Press] A review of image watermarking for identity protection and verification', Multimedia Tools and Applications, .
  • Sharma, S., Zou, J. and Fang, G. (2022), 'A single watermark based scheme for both protection and authentication of identities', IET Image Processing, vol 16, no 12 , pp 3113 - 3132.
  • Sharma, S., Zou, J. and Fang, G. (2022), 'A novel multipurpose watermarking scheme capable of protecting and authenticating images with tamper detection and localisation abilities', IEEE Access, vol 10 , pp 85677 - 85700.
  • Sharma, S., Zou, J. and Fang, G. (2020), 'Significant difference-based watermarking in multitoned images', Electronics Letters, vol 56, no 18 , pp 924 - 926.
  • Russell, M., Zou, J., Fang, G. and Cai, W. (2019), 'Feature-based image patch classification for moving shadow detection', IEEE Transactions on Circuits and Systems for Video Technology, vol 29, no 9 , pp 2652 - 2666.
  • Ralph, N., Norris, R., Fang, G., Park, L., Galvin, T., Alger, M., Andernach, H., Lintott, C., Rudnick, L., Shabala, S. and Wong, O. (2019), 'Radio Galaxy Zoo : unsupervised clustering of convolutionally auto-encoded radio-astronomical images', Publications of the Astronomical Society of the Pacific, vol 131, no 1004 .
  • Lyu, N., Fang, G., Xu, Y., Zhao, H., Chen, S. and Zou, J. (2017), 'Real-time monitoring of welding path in pulse metal-inert gas robotic welding using a dual-microphone array', International Journal of Advanced Manufacturing Technology, vol 90, no 9 , pp 2955 - 2968.
  • Xu, Y., Lv, N., Fang, G., Du, S., Zhao, W., Ye, Z. and Chen, S. (2017), 'Welding seam tracking in robotic gas metal arc welding', Journal of Materials Processing Technology, vol 248 , pp 18 - 30.
  • Su, F., Fang, G. and Zou, J. (2017), 'A novel colour model for colour detection', Journal of Modern Optics, vol 64, no 8 , pp 819 - 829.
  • Shi, H., Kwok, N., Fang, G., Lin, C., Lee, A., Li, H. and Yu, Y. (2017), 'Gradient-guided color image contrast and saturation enhancement', International Journal of Advanced Robotic Systems, vol 14, no 3 , pp 1 - 11.
  • Russell, M., Zou, J. and Fang, G. (2016), 'An evaluation of moving shadow detection techniques', Computational Visual Media, vol 2, no 3 , pp 195 - 217.
  • Yu, B., Lu, N., Fang, G. and Chen, S. (2016), 'Welding path deviation prediction based on time delay of a dual-microphone array', Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University, vol 50, no 10 , pp 1578 - 1582.
  • Xu, Y., Fang, G., Lv, N., Chen, S. and Zou, J. (2015), 'Computer vision technology for seam tracking in robotic GTAW and GMAW', Robotics and Computer-Integrated Manufacturing, vol 32 , pp 25 - 36.
  • Kwok, N., Shi, H., Fang, G., Ha, Q., Yu, Y., Wu, T., Li, H. and Nguyen, T. (2015), 'Color image enhancement using correlated intensity and saturation adjustments', Journal of Modern Optics, vol 62, no 13 , pp 1037 - 1047.
  • Russell, M., Zou, J. and Fang, G. (2015), 'Real-time vehicle shadow detection', Electronics Letters, vol 51, no 16 , pp 1253 - 1255.
  • Lyu, N., Xu, Y., Fang, G., Zhao, H. and Chen, S. (2015), 'Mechanism analysis and feature extraction of arc sound channel for pulse GTAW welding dynamic process', Advances in Intelligent Systems and Computing, vol 363 , pp 249 - 261.
  • Aziz, K., Rahman, A., Fang, G. and Shrestha, S. (2014), 'Application of artificial neural networks in regional flood frequency analysis : a case study for Australia', Stochastic Environment Research & Risk Assessment, vol 28, no 3 , pp 541 - 554.
  • Dinham, M. and Fang, G. (2014), 'Detection of fillet weld joints using an adaptive line growing algorithm for robotic arc welding', Robotics and Computer-Integrated Manufacturing, vol 30, no 3 , pp 229 - 243.
  • Debono, J. and Fang, G. (2014), 'Robot learning from demonstration using 3D computer vision', Advanced Materials Research, vol 875-877 , pp 1994 - 1999.
  • Silvers, G. and Fang, G. (2014), 'Human machine interface in weld seam detection using an RGB-D camera', Advanced Materials Research, vol 875-877 , pp 1967 - 1971.
  • Xu, Y., Fang, G., Chen, S., Zou, J. and Ye, Z. (2014), 'Real-time image processing for vision-based weld seam tracking in robotic GMAW', International Journal of Advanced Manufacturing Technology, vol 73, no 9-12 , pp 1413 - 1425.
  • Chen, S., Ye, Z. and Fang, G. (2014), 'Intelligentized technologies for welding manufacturing', Materials Science Forum, vol 773-774 , pp 725 - 731.
  • Dinham, M. and Fang, G. (2013), 'Autonomous weld seam identification and localisation using eye-in-hand stereo vision for robotic arc welding', Robotics and Computer-Integrated Manufacturing, vol 29, no 5 , pp 288 - 301.
  • Southwell, B. and Fang, G. (2013), 'Human object recognition using colour and depth information from an RGB-D Kinect sensor', International Journal of Advanced Robotic Systems, vol 10 , pp 1 - 8.
  • Ye, Z., Fang, G., Chen, S. and Dinham, M. (2013), 'A robust algorithm for weld seam extraction based on prior knowledge of weld seam', Sensor Review, vol 33, no 2 , pp 125 - 133.
  • Kwok, N., Shi, H., Ha, Q., Fang, G., Chen, S. and Jia, X. (2013), 'Simultaneous image color correction and enhancement using particle swarm optimization', Engineering Applications of Artificial Intelligence, vol 26, no 10 , pp 2356 - 2371.
  • Ye, Z., Fang, G., Chen, S. and Zou, J. (2013), 'Passive vision based seam tracking system for pulse-MAG welding', International Journal of Advanced Manufacturing Technology, vol 67, no 9-12 , pp 1987 - 1996.
  • Ye, Z., Yu, H., Chen, H., Fang, G., Chen, S. and Li, J. (2012), 'Research on FANUC robotic welding system based on multiple information sensing technology', Shanghai Jiaotong Daxue Xuebao, vol 46, no Sup. , pp 4 - 7.
  • Su, F., Fang, G. and Kwok, N. (2012), 'Adaptive colour feature identification in image for object tracking', Mathematical Problems in Engineering, vol 2012, no Article ID 509597 , pp 1 - 18.
  • Fang, G. (2011), 'Design and delivery of a subject in robotics', Journal of Robotics and Mechatronics, vol 23, no 5 , pp 658 - 664.
  • Kwok, N., Jia, X., Wang, D., Chen, S., Fang, G. and Ha, Q. (2011), 'Visual impact enhancement via image histogram smoothing and continuous intensity relocation', Computers and Electrical Engineering, vol 37, no 5 , pp 681 - 694.
  • Kwok, N., Ha, Q., Liu, D. and Fang, G. (2009), 'Contrast enhancement and intensity preservation for gray-level images using multi-objective particle swarm optimization', IEEE Transactions on Automation Science and Engineering, vol 6, no 1 , pp 145 - 155.
  • Kwok, N., Ha, Q., Huang, S., Dissanayake, G. and Fang, G. (2007), 'Mobile Robot Localization and Mapping using a Gaussian Sum Filter', International Journal of Control, Automation, and Systems, vol 5, no 3 , pp 251 - 268.
  • Kwok, N., Ha, Q. and Fang, G. (2007), 'Motion Coordination for Construction Vehicles using Swarm Intelligence', International Journal of Advanced Robotic Systems, vol 4, no 4 , pp 469 - 476.
  • Dissanayake, G. and Fang, G. (2001), 'Minimum-time trajectories for reducing load sway in quay-cranes', Engineering Optimization, vol 33 , pp 643 - 661.

Conference Papers

  • Sharma, S., Fang, G., Chen, Z., Obst, O., Tissue, D., Zou, J. and Liang, W. (2023), 'Capsicum flower identification for robotic pollination in greenhouses', International Conference on Machine Learning and Cybernetics, Adelaide, S.A..
  • Sharma, S., Zou, J. and Fang, G. (2020), 'A novel signature watermarking scheme for identity protection', DICTA (Conference), Melbourne, Vic..
  • Chen, C., Fang, G., Xu, Y., Lv, N. and Dinham, M. (2019), 'Autonomous welding seam detecting and tracking using vision and sound sensors in robotic gas metal arc welding', IFToMM International Symposium on Robotics and Mechatronics, Parramatta, N.S.W..
  • Sharma, S., Zou, J. and Fang, G. (2019), 'Contrast enhancement using region based image fusion in wavelet domain', IFToMM International Symposium on Robotics and Mechatronics, Parramatta, N.S.W..
  • Fang, G. and Cook, B. (2019), 'A service Baxter robot in an office environment', IFToMM International Symposium on Robotics and Mechatronics, Parramatta, N.S.W..
  • Russell, M., Zou, J., Fang, G. and Cai, W. (2019), 'Feature-based patch matching for moving object detection', IEEE Visual Communications and Image Processing (Conference), Sydney, N.S.W..
  • Sharma, S., Zou, J. and Fang, G. (2019), 'Recent developments in halftone based image watermarking', International Conference on Electrical Engineering Research and Practice, Sydney, N.S.W..
  • Sharma, S., Zou, J. and Fang, G. (2019), 'A novel method to achieve ordered dithering in images', International Conference on Image and Vision Computing New Zealand, Dunedin, N.Z..
  • Sharma, S., Zou, J. and Fang, G. (2018), 'Contrast enhancement of dithered images using complex wavelets and novel amplification factors', International Conference on Signal Processing and Communication Systems, Cairns, Qld..
  • Su, F., Fang, G. and Zou, J. (2018), 'Robust real-time object tracking using tiered templates', World Congress on Intelligent Control and Automation, Changsha, China.
  • Lv, N., Xu, Y., Fang, G., Yu, X. and Chen, S. (2016), 'Research on welding penetration state recognition based on BP-Adaboost model for pulse GTAW welding dynamic process', IEEE Workshop on Advanced Robotics and its Social Impacts, Shanghai, China.
  • Russell, M., Zou, J. and Fang, G. (2016), 'A novel region-based method for moving shadow detection', DICTA (Conference), Gold Coast, Qld..
  • Fang, G., Liyanapathirana, R. and Leo, C. (2016), 'Evolution of Master of Engineering coursework degrees at Western Sydney University : past, present and future', International Conference on Engineering Education and Research, Parramatta, N.S.W..
  • Sharma, S., Zou, J. and Fang, G. (2016), 'Contrast enhancement using pixel based image fusion in wavelet domain', International Conference on Contemporary Computing and Informatics, Noida, India.
  • Russell, M., Zou, J. and Fang, G. (2016), 'Human shadow detection for real-time applications', TENCON, Singapore.
  • Sharma, S., Zou, J. and Fang, G. (2016), 'Detail and contrast enhancement for images using dithering based on complex wavelets', TENCON, Singapore.
  • Kwok, N., Shi, H., Fang, G., Lin, C., Wong, C., Liu, S., Liu, S. and Rahman, M. (2016), 'Logarithmic profile mapping and Retinex edge preserving for restoration of low illumination images', International Congress on Image and Signal Processing, Datong, China.
  • Su, F., Fang, G. and Zou, J. (2016), 'Human detection using a combination of face, head and shoulder detectors', TENCON, Singapore.
  • Su, F. and Fang, G. (2015), 'Colour identification using an adaptive colour model', International Conference on Automation, Robotics and Applications, Queenstown, N.Z..
  • Dinham, M. and Fang, G. (2015), 'Simultaneous calibration of a stereo vision system and a welding robot : an automated approach', International Conference on Robotic Welding, Intelligence and Automation, Shanghai, China.
  • Dinham, M. and Fang, G. (2015), 'The development of a low cost autonomous robotic arc welding system', International Conference on Robotic Welding, Intelligence and Automation, Shanghai, China.
  • Xu, Y., Lv, N., Fang, G., Lin, T., Chen, H., Chen, S. and Han, Y. (2015), 'Sensing technology for intelligentized robotic welding in arc welding processes', International Conference on Robotic Welding, Intelligence and Automation, Shanghai, China.
  • Ye, Z., Chen, H., Fang, G. and Chen, S. (2015), 'Feature extraction from arc signal for height tracking system of P-MAG welding', International Conference on Robotic Welding, Intelligence and Automation, Shanghai, China.
  • Russell, M., Zou, J. and Fang, G. (2015), 'Moving shadow detection : a survey of recent methods', CSIE (Conference), Bangkok, Thailand.
  • Su, F. and Fang, G. (2015), 'Chroma based colour enhancement for improved colour segmentation', International Conference on Sensing Technology, Auckland, N.Z..
  • Kwok, N., Fang, G. and Shi, H. (2015), 'Color enhancement for images from digital camera using a transformation-free approach', International Conference on Sensing Technology , Auckland, N.Z..
  • Su, F. and Fang, G. (2014), 'Human detection using gradient maps and golden ratio', International Symposium on Automation and Robotics in Construction, Sydney, N.S.W..
  • Fang, G., Kwok, N. and Dissanayake, G. (2013), 'Skin colour detection using the statistical decision theory', 4th International Conference on Manufacturing Science and Engineering, ICMSE 2013, Dalian; China.
  • Kwok, N., Shi, H., Fang, G. and Ha, Q. (2013), 'Adaptive scale adjustment design of unsharp masking filters for image contrast enhancement', International Conference on Machine Learning and Cybernetics, Tianjin, China.
  • Su, F. and Fang, G. (2012), 'Moving object tracking using an adaptive colour filter', International Conference on Control, Automation, Robotics and Vision, Guangzhou, China.
  • Kwok, N., Shi, H., Fang, G. and Ha, Q. (2012), 'Intensity-based gain adaptive unsharp masking for image contrast enhancement', International Congress on Image and Signal Processing , Chongqing, China.
  • Su, F., Fang, G. and Kwok, N. (2012), 'Shadow removal using background reconstruction', International Congress on Image and Signal Processing, Chongqing, China.
  • Dinham, M. and Fang, G. (2012), 'Weld seam detection using computer vision for robotic arc welding', IEEE Conference on Automation Science and Engineering, Seoul, South Korea.
  • Aziz, K., Rahman, A., Fang, G. and Shrestha, S. (2012), 'Comparison of artificial neural networks and adaptive neuro-fuzzy inference system for regional flood estimation in Australia', Hydrology and Water Resources Symposium, Sydney, N.S.W..
  • Aziz, K., Rahman, A., Fang, G. and Shrestha, S. (2011), 'Artificial Neural Networks Based Regional Flood Estimation Methods for Eastern Australia: Identification of Optimum Regions', 34th IAHR World Congress, Brisbane.
  • Ye, Z., Fang, G., Chen, S. and Zou, J. (2011), 'Image selection based on Grayscale features in robotic welding', Artificial Intelligence and Computational Intelligence: Third International Conference, AICI 2011, Taiyuan, China, September 24-25, 2011: Proceedings, Taiyuan, China.
  • Dinham, M., Fang, G. and Zou, J. (2011), 'Experiments on automatic seam detection for a MIG welding robot', Artificial Intelligence and Computational Intelligence: Third International Conference, AICI 2011, Taiyuan, China, September 24-25, 2011: Proceedings, Part II, Taiyuan, China.
  • Kwok, N., Wang, D., Jia, X., Chen, S., Fang, G. and Ha, Q. (2011), 'Gray World based Color Correction and Intensity Preservation for Image Enhancement', 4th International Congress on Image and Signal Processing, Shanghai.
  • Wang, D., Kwok, N., Jia, X. and Fang, G. (2011), 'A Cellular Automata Approach for Superpixel Segmentation', 4th International Congress on Image and Signal Processing, Shanghai.
  • Aziz, K., Rahman, A., Fang, G. and Shrestha, S. (2011), 'Application of Artificial Neural Networks in Regional Flood Estimation in Australia: Formation of Regions Based on Catchment Attributes', Proceedings of the Second International Conference on Soft Computing Technology in Civil, Structural and Environmental Engineering, Chania, Crete, Greece, 6-9 September 2011, Crete, Greece.
  • Aziz, K., Rahman, A., Fang, G., Haddad, K. and Shrestha, S. (2010), 'Design flood estimation for ungauged catchments: Application of artificial neural networks for eastern Australia', World Environmental and Water Resources Congress 2010, Providence.
  • Kwok, N., Ha, Q., Fang, G., Rad, A. and Wang, D. (2010), 'Color Image Contrast Enhancement using a Local Equalization and Weighted Sum Approach', 2010 IEEE Conference on Automation Science and Engineering, Toronto, Ontario, Ca.
  • Dinham, M. and Fang, G. (2010), 'Low Cost Simultaneous Calibration of a Stereo Vision System and a Welding Robot', 2010 IEEE International Conference on Robotics and Biomimetics (ROBIO 2010), Tianjin, China.
  • Wang, D., Kwok, N., Fang, G., Jia, X. and Li, F. (2010), 'Ants based Control of Swarm Robots for Bushfire Fighting', 2010 International Conference on Artificial Intelligence and Computational Intelligence, Sanya, China.
  • Kwok, N., Jia, X., Wang, D., Chen, S., Ha, Q. and Fang, G. (2010), 'Image Contrast Enhancement based on Histogram Smoothing and Continuous Intensity Relocation', 2010 3rd International Congress on Image and Signal Processing, Yantai, China.
  • Kwok, N., Ha, Q. and Fang, G. (2009), 'Effect of color space on color image segmentation', 2nd International Congress on Image and Signal Processing, Tianjin, China.
  • Kwok, N., Fang, G. and Ha, Q. (2009), 'Moving Average-based Stock Trading Rules from Particle Swarm Optimization', International Conference on Artificial Intelligence and Computational Intelligence, 2009, Shanghai, China.
  • Fang, G. and Kwok, N. (2009), 'Image Segmentation Using Adaptively Selected Color Space', The 2009 IEEE International Conference on Robotics and Biomimetics (ROBIO 2009), Guilin, China.
  • Dinham, M. and Fang, G. (2009), 'A Low Cost Hand-Eye Calibration Method for Arc Welding Robots', The 2009 IEEE International Conference on Robotics and Biomimetics (ROBIO 2009), Guilin, China.
  • Fang, G., Kwok, N. and Ha, Q. (2008), 'Automatic fuzzy membership function tuning using the particle swarm optimisation', 2008 IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application (PACIIA 2008), Wuhan, China.
  • Fang, G., Kwok, N. and Ha, Q. (2008), 'Swarm interaction-based simulation of occupant evacuation', 2008 IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application (PACIIA 2008), Wuhan, China.
  • Liu, D., Dissayanake, G., Manamperi, P., Brooks, P., Fang, G. and et al, .. (2008), 'A robotic system for steel bridge maintenance : research challenges and system design', 2008 Australasian Conference on Robotics & Automation, Canberra, Australia.
  • Clifton, M. and Fang, G. (2007), 'Genetic Programming in Robot Exploration', 2007 IEEE International Conference on Mechatronics and Automation, Heilongjiang, China.
  • Kwok, N., Fang, G., Ha, Q. and Liu, D. (2007), 'An Enhanced Particle Swarm Optimization Algorithm for Multi-Modal Functions', 2007 IEEE International Conference on Mechatronics and Automation, Heilongjiang, China.
  • Dinham, M. and Fang, G. (2007), 'Time Optimal Path Planning for Mobile Robots in Dynamic Environments', 2007 IEEE International Conference on Mechatronics and Automation, Heilongjiang, China.
  • Kwok, N., Ha, Q. and Fang, G. (2007), 'Data Association in Bearing-Only SLAM using a Cost Function-based Approach', 2007 IEEE International Conference on Robotics and Automation, Roma, Italy.
  • Kwok, N., Ha, Q., Liu, D., Fang, G. and Tan, K. (2007), 'Efficient Particle Swarm Optimization: A Termination Condition Based on the Decision-making Approach', 2007 IEEE Congress on Evolutionary Computation, Singapore.
  • Tran, T., Nguyen, M., Kwok, N., Ha, Q. and Fang, G. (2006), 'Sliding Mode-PID Approach for Robust Low-level Control of a UGV', 2006 IEEE Conference on Automation Science and Engineering, Shanghai, China.
  • Kwok, N., Ha, Q., Liu, D. and Fang, G. (2006), 'Intensity-Preserving Contrast Enhancement for Gray-Level Images using Multi-objective Particle Swarm Optimization', 2006 IEEE Conference on Automation Science and Engineering, Shanghai, China.
  • Sharma, S., Zou, J. and Fang, G. (2006), 'A novel signature watermarking scheme for identity protection', International Conference on Communication Technology, Guilin, China.
  • Huang, S., Kwok, N., Dissanayake, G., Ha, Q. and Fang, G. (2005), 'Mulit-step look-ahead trajectory planning in SLAM: possibility and necessity.', 2005 IEEE International Conference on Robots and Automation, Barcelona, Spain.
  • Kwok, N., Fang, G. and Zhou, W. (2005), 'Evolutionary Particle Filter: Re-sampling from the Genetic Algorithm Perspective', 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2005), Edmonton, Canada.
  • Fang, G., Dissanayake, G., Kwok, N. and Huang, S. (2005), 'Near minimum time path planning for bearing-only localisation and mapping', 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2005), Edmonton, Canada.
  • Kwok, N., Buchholz, J., Gal, J. and Fang, G. (2005), 'Sound Source Localization: Microphone Array Design and Evolutionary Estimation', IEEE ICIT 2005, Hong Kong.
  • Fang, G., Dissanayake, G. and Lau, H. (2004), 'A behaviour-based optimisation strategy for multi-robot exploration', 2004 IEEE Conference on Robotics, Automation and Mechatronics, Singapore.
  • Kwok, N., Liu, D., Fang, G. and Dissanayake, G. (2004), 'Path planning for bearing-only simultaneous localisation and Mapping.', 2004 IEEE Conference on Robotics, Automation and Mechatronics, Singapore.
  • Xu, Z. and Fang, G. (2002), 'Neuro-fuzzy impedance control for robots in complex spatial edge following', The 6th International Conference on Mechatronics Technology, Fukuoka, Japan.
  • Xu, Z. and Fang, G. (2002), 'Fuzzy Impedance Control For A Robot in Complex Spatial Edge', Seventh International Conference on Control, Automation, Robotics And Vision (ICARCV?02), Singapore.
  • Fang, G. and Dissanayake, G. (2002), 'Time-optimal feedback control of a non-holonomic vehicle', Seventh International Conference on Control, Automation, Robotics And Vision (ICARCV?02), Singapore.
  • Xu, Z., Fang, G., Roberts, B., Gal, J. and Toner, P. (2001), 'A passive mechanical device following complex spatial edges', 4th Asian Conference on Robotics and Its Applications, Singapore.
  • Idsoe, T., Gal, J. and Fang, G. (2001), 'Visual monitoring of surgery using a teleoperated robotics system', 4th Asian Conference on Robotics and Its Applications, Singapore.

Gu's main research interests include: computer vision in robotic applications; neural network and fuzzy logic control in robotics; robotic welding; and particle swarm optimisation in robotics.

His papers have been nominated for a number of 'best paper' awards and one of his papers was awarded the best paper at an international conference. Gu is a Visiting Researcher in the Intelligent Robotic Welding Technology Laboratory (IRWTL) in Shanghai Jiao-Tong University, Shanghai, China.

This information has been contributed by Professor Fang.

Previous Projects

Title: Robot Precision Control Using Neutral Networks
Funder:
  • University of Western Sydney
Western Researchers: Gu Fang
Years: 1999-01-01 - 2000-06-30
ID: P0011218
Title: 24 bit Optical Post Processor
Funder:
  • AusIndustry - Dept Industry Science & Resources
Western Researchers: Gu Fang
Years: 2002-06-01 - 2005-12-31
ID: P0010620
Title: Laservision R &D Start Graduate - vector display system
Funder:
  • AusIndustry - Dept Industry Science & Resources
Western Researchers: Gu Fang
Years: 1998-07-01 - 2002-06-30
ID: P0010622
Title: JRE Engineering Cadetship - Student: Mitchell Dinham
Funder:
  • Department of Industry, Innovation, Science, Research and Tertiary Education (JRE)
Western Researchers: Gu Fang
Years: 2012-08-08 - 2016-08-07
ID: P00021048
Title: Perception and Action in Auditory Scenes (PAAS): Neural, Behavioural, Computational and Mechanical Systems
Funder:
  • Australian Research Council (ACRG)
Western Researchers: Denis Burnham, Kate Stevens, Stephen Malloch, Christine Kitamura, George Bryan, Carolyn Mcgregor, John Gal, Gu Fang, X and Mark Wiggins
Years: 2004-01-02 - 2004-11-30
ID: P0014230
Title: Adaptable low cost, low volume automation
Funder:
  • Hawker De Havilland Limited
Western Researchers: Gu Fang and X
Years: 1998-02-04 - 2011-12-31
ID: P0013190
Title: Industry automation and applied mechatronics
Funder:
  • Various Industry Partners
Western Researchers: John Gal, Gu Fang and Jonathan Vincent
Years: 2000-11-16 - 2001-12-31
ID: P0013388
Title: Continuous optical and pH monitoring device for the distal oesophagus
Funder:
  • Maridulu Budyari Gumal
Western Researchers: Jerry Zhou, Vincent Ho and Gu Fang
Years: 2019-09-16 - 2021-03-31
ID: P00026057
Title: Autonomous multi-robot system in welding
Funder:
  • University of Western Sydney
Western Researchers: Gu Fang
Years: 2008-11-21 - 2009-11-20
ID: P00016427
Title: A Vision Controlled Autonomous Multi-Robot Welding System
Funder:
  • Australian Research Council (ACRG)
  • The Lincoln Electric Company (Australia) Pty Ltd
Western Researchers: Gu Fang and Jeffrey Zou
Years: 2009-08-04 - 2015-12-31
ID: P00016583

Supervision

Professor Fang is available to be a principal supervisor for doctoral projects

Current Supervision

Thesis Title: A Vision Controlled Autonomous Multi-Robot Welding System.
Field of Research:
Thesis Title: Intelligent Programming of robotic systems for the arc welding of complex assemblies
Field of Research:
Thesis Title: Neural networks in robotic control
Field of Research:
Thesis Title: A Vision Controlled Autonomous Multi-Robot Welding System.
Field of Research:

Previous Supervision

Thesis Title: Robot control
Field of Research:
Thesis Title: An Application of Predictive Neural Networks to Macroeconomics
Field of Research: Econometrics
Thesis Title: Computer Vision in Target Pursuit Using a UAV
Field of Research: Computer Science, N.e.c.; Other Engineering And Related Technologies; Practical Computing Skills
Thesis Title: Autonomous Weld Joint Detection and Localisation Using Computer Vision in Robotic Arc Welding
Field of Research: Computer Science, N.e.c.; Manufacturing Engineering
Thesis Title: Moving Shadow Detection Based on Colour-Intensity Analysis
Field of Research: Computer Science, N.e.c.; Engineering And Related Technologies; Computer Engineering

Western Sydney University

Locked Bag 1797
Penrith NSW 2751

ABN 53 014 069 881
CRICOS Provider No: 00917k