Welcome to Tony Jan's Homepage!
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IEEE Biography: Dr. Tony Jan is a senior lecturer of computer systems and networks at the University of Technology, Sydney, Australia. Prior to UTS, he was research fellow at the University of Western Australia and Australian defence science and technology organization. His main research interests are in statistical image processing and pattern recognition using machine learning algorithms. He has authored more than 30 articles in international journals and proceedings in machine learning and neural networks. He was invited session chair at the IEEE international symposium on signal processing and information technology in 2003, elected technical committee member at the international association of pattern recognition, and regular reviewer of international journals of neural networks and neurocomputing.
Contact Details
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Name |
Tony JAN |
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Address |
Building10 Level4, Room4.450 Faculty of IT, UTS |
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Phone |
(Mob) 0405143841 (Work) +61+2+9514+4473 | Homepage |
Research Work
Research Projects and Contribution
Theoretical Contribution
My major research contribution is the development of "Adaptive Kernel Models for Modeling and Generalization". This work is well regarded by the international research community and has been published in the most prestigious journals and conference proceedings [1-10]. This work is funded by the University Research Initiative Grant of AUD150K.
Research Projects
My recent research interest (last 3~5 years) has been:
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Theoretical development of radial basis function network, probabilistic networks and support vector machines. Mainly in the domain of nonlinear modeling and prediction. [1]-[10] (supported by UTS Research Strength Grant of $150K)
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Machine learning techniques for decision support system: mainly in the areas of terrorist threat assessment [11]-[17] (supported by ARC Discovery Grant of $168K)
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Machine learning techniques for image and signal processing [18]-[26] (supported by ARC Linkage Grant of $240K)
Research Grants
I am a joint Chief Investigator for the research projects which attracted total grants of A600K (for 2003-2005). Some awarded grants are listed below.
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University Research Strength Initiative Grant (awarded to the computer vision research group, AUD 150K).
- Australian Research Council Discovery Grant (awarded AUD 160K for 2004-2006) Project title: Little Brother: Visual Surveillance System for Public Premises.
- Australian Research Council Linkage Grant (submitted AUD 250K, 2004-2006), project title: Detection and Recognition of Occluded Object using Multi-Classifiers
- Faculty SEED Research Grant (awarded AUD 20K, 2003), project title: Modified kernel based learning algorithm for image/signal processing
- UTS Internal Research Excellence Grant (awarded AUD 20K, 2003), project title: Kernel Principal Component Analysis (KPCA) for machine learning
- Research and Training Award from Commonwealth Research Fund (AUD 100K).
- Defence Science Technology Organisation (DSTO) development funding for acoustic array project. (Undisclosed amount, previous to UTS, 1998-1999)
- Ericsson R&D Funding for Web multimedia applications (previous to UTS, 1998-2000).
Invitations, Awards and Scholarships
- Invited session chair at the IEEE International Symposium on Signal Processing and Information Technology, Darmstadt, Germany 2003
- Elected technical committee member for International Association of Pattern Recognition (IAPR)
- Organizing committee member for International Conference on Computational Intelligence for Modeling, Control and Automation (CIMCA), Brisbane, Australia, 2004
- Recipient of the Best paper prize at the International Conference on Image and Vision Computing held at New Zealand (with Hatice Gunes), 2002
- Recipient of the Best Research Contribution Award at the Department of Computer Systems at University of Technology, Sydney, 2002.
- Recipient of the Norman I PhD Scholarships at the Department of Electrical Engineering, University of Sydney (2000-2001).
- Recipient of the First Prize Winner at the All Australian Mathematics
Competition
Research Interest and Plans
- Incremental Support Vector Machine (SVM) - large margin classifiers such as SVM is well known for classification. However incremental SVM learning is still an open interesting problem [3, 5].
- Kernel Principal Component Analysis (KPCA) - kernel based learning is a very important topic in machine learning research [5, 8, 10].
- Semiparametric Kernel Density Estimation (KDE) - KDE is inherently overfitting. Some degree of regularization is required to achieve a stable model [18]. The key problem is the bias-variance tradeoff.
- Smart multimedia search engines - current search engines are limited to text based search only. Recent advances in multimedia tools (MPEG 7 and 21) pave many new exciting ways in which the multimedia information may be manipulated to provide exciting multimedia search systems [12, 17].
Qualifications
- PhD Research in Information Engineering (UC)
- Master of Computer Engineering, University of Sydney (APAI Research Scholarship)
- Bachelor of Electrical and Information Engineering (Honours), University of WA.
Experience
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Prior to joining UTS as lecturer, I was mainly a Mathematical Engineer who specialize in intelligent signal processing in Australian Defence Science Technology Organization.
Publication List
- T. Jan, Combining analytic models in neural networks for robust classification, IEEE International Journal on Neural Networks, Elsevier Press, (submitted).
- T. Jan, An adjustable linear to nonlinear regression model, IEEE Transaction on Neural Networks, (submitted).
- T. Jan, Incremental Probabilistic Neural Network, International Journal on Neural Networks, Elsevier Press, (IEEE) (in press, 2004).
- T. Jan, Combination of Linear Model and Kernel Based Neural Network Model for Modeling and Prediction, International Journal of Neurocomputing, Elsevier Press, (in press).
- T. Jan, Modified Probabilistic Network with Embedded Local Linear Models, Proc. of IEEE International Conference on Machine Learning for Signal Processing, Sao Luis, Brazil, 2004. (accepted)
- T. Jan, Combining analytical model with neural networks, Proc. of IEEE International Symposium on Signal Processing and Information Technology (IEEE-ISSPIT), Darmstadt, Germany, December 14-17, 2003.
- T. Jan, Robust Short Term Prediction using Combination of Linear Regression and Modified Probabilistic Neural Network, Proc. of IEEE International Joint Conference on Neural Networks (IEEE-IJCNN), pp. 2478-2481, Portland, Oregon, July, 2003.
- T. Jan, Short term prediction using adjustable general regression model, Proc. of 4th International Conference on Intelligent Data Engineering and Automated Learning, 21st-23rd March, 2003, Hong Kong.
- T. Jan, Robust Short Term Model Prediction using Combination of Linear Model and General Regression Neural Network, Proc. of 3rd International Conference on Computational Intelligence for Modeling, Control and Automation, pp. 463-471, Vienna, Austria, 12th-14th February, 2003.
- T. Jan, A. Zaknich, An Adjustable Model for Linear to Nonlinear Regression, Proc. of IEEE International Joint Conference on Neural Networks (IEEE-IJCNN), pp. 846-850, Washington, USA, 10-16th July, 1999.
- T. Jan, Neural network based threat assessment for terrorist activities, IEEE International Joint Conference on Neural Networks (IEEE-IJCNN), Budapest, Hungary, 25-29 July 2004 (accepted, in press)
- T. Jan, M. Piccardi, T. Hintz, Neural Network Classifiers for Video Surveillance, Proc. of IEEE International Workshop on Neural Network for Signal Processing (IEEE-NNSP), pp. 729-783, Toulouse, France, September 17-19, 2003.
- M. Piccardi, and T. Jan, Recent Advances in Computer Vision, The Industrial Physicist, vol. 9, no. 1, pp. 18-21, Feb/Mar. 2003, American Institutes of Physics, (ISSN: 1082-1848).
- T. Jan, T. Hintz, Efficient Surveillance Image Modeling using Combination of Linear Model and Modified Probabilistic Neural Network, Proc. of 3rd International Conference on Computational Intelligence for Modeling, Control and Automation, pp. 338-345, Vienna, Austria, 12th-14th February, 2003.
- T. Jan, M. Piccardi, T. Hintz, Detection of Suspicious Behavior using Modified Probabilistic Neural Network, Proc. of 3rd International Conference on Computational Intelligence for Modeling, Control and Automation, pp. 376-385, Vienna, Austria, 12th-14th February, 2003.
- T. Jan, M. Piccardi, T. Hintz, Suspicious User Activity Detection with General Regression Neural Networks, Proc. of International Conference on Image and Vision Computing, pp. 237-242, Auckland, New Zealand, 23rd-26th November, 2002.
- T. Jan, Incremental Radial Basis Function Network for Robust Learning, Proceedings of International Conference on Neural Information Processing (ICONIP), IEEE, Shanghai, China, 14 - 18 November, 2001.
- T. Jan, Effective video object encoder using locality-enhanced support vector machines, Proc. of IEEE International Conference on Multimedia Signal Processing, Siena, Italy, 2004 (accepted and in press)
- T. Jan, Video Objects Encoding using Region of Interest based Neural Network Classifiers, Proc. of IEEE International Symposium on Signal Processing and Information Technology (IEEE-ISSPIT), Darmstadt, Germany, 14-17 December, 2003.
- T. Jan, Semiparametric kernel density estimation for statistical image modeling, Journal of Image and Vision Computing, Elsevier Press, (submitted).
- T. Jan, Efficient Image Modeling using Combination of Linear Regression and General Regression Neural Network, Proc. of International Conference on Image and Vision Computing, pp. 19-21, Auckland, New Zealand, 23rd-26th November, 2002.
- (with H. Gunes), T. Jan, Facial Image Analysis for Plastic Surgery, Proc. of IEEE International Conference on Systems, Man and Cybernetics, 2004.
- (with H. Gunes), T. Jan, Multimodal human computer interface, Proc. of Asia Pacific Conference on Human Computer Interface, New Zealand, 2004.
- H. Gunes, M. Piccardi, T. Jan, Facial Proportion Analysis using Supervised Learning Classifiers, SPIE International Proceedings on Optical Imaging, San Jose, Nevada, USA, 2003. (in press)
- H. Gunes, M. Piccardi, T. Jan, Automatic Classification of Female Faces using Learning Algorithms, Proc. of International Conference on Image and Vision Computing, pp. 169-173, Auckland, New Zealand, 23rd-26th November, 2002.
- T. Jan, A. Zaknich, Separation of Signals with Overlapping Spectra using Signal Characterization and Hyperspace Filtering, Proc. of IEEE International Symposium on Adaptive Systems for Signal Processing, Communications, and Control, pp. 327-332, Lake Louise, Alberta, Canada, 1-4th October, 2000.
Teaching Plans and Materials
Teaching Plans
| Digital Multimedia 31080 Homepage |
| Computer Vision and Image Processing subject Homepage |
| Principles of Distributed Computing subject Homepage |
| Distributed Computing Architecture subject Homepage |
Teaching Experiences
| Job Title | Lecturer/Tutor |
| Organisation | University of Western Australia |
| Period | two semesters (1998, 1999) |
| Duties | Lecturing and tutoring communications/network engineering for final year IT courses. |
| Job Title | Lecturer/Instructor |
| Organisation | University of Western Australia, University of Sydney. |
| Period | 3years (1998~2000) |
| Duties | Lecturing and lab co-ordination of C++ based software development courses |
Community Activities and General Skills
Communication Skills
- Verbal skill: 15+ years of Education and 6 years of Teaching in Australian Education System.
- Writing skill: Eighteen International publications and numerous technical reports.
Analytic Skills
- Strong Mathematical Skills: The prize winner of All Australian Mathematics Competitions.
- Strong Analytic Skills: Thirteen Internationally published IEEE (International Electrical and Electronic Engineering) Conference Papers.
Computing Skills
- Confident Programmer in Visual Basic, Pascal, C, C++(OOP, OOD), XML, JAVA, SQL, Dynamic and Static HTML and ASP Design
- Confident user of Windows NT, UNIX, Spice and Computer Aided Design (CAD) programs
Leadership Skills
- Organising and Leadership skills: 3 years of Church choir conducting and 2 years of Vice-Captaincy in Intervarsity (University) Basketball team.
Community Activities
- Basketball: represented all Australian National Basketball team for under 23 in US
- Co-captained the University of WA Basketball team for intervarsity games in 1994 and 1995. Strong leadership skills
- Music: play piano, guitar, not so regularly. I have been a conductor for South Perth church choir for three years (1996-1999)
Referees
- Professor Yianni Attikiouzel, yianni@ee.uwa.edu.au
- Dr. Anthony Zaknich (Honours Supervisor)
- Dr. Michael Lee (CSIRO research) Michael.Lee@csiro.org