Faculty of Science and Technology

Teng, Shyh Wei (Dr)

Email: shyh.wei.teng@federation.edu.au

Room: 4N204

Phone: + 61 3 5122 6851

Biography

Dr Shyh Wei Teng received his Bachelor of Computing (First-class Honours) and PhD in Information Technology (IT) degrees from the Faculty of IT, Monash University, in 1998 and 2004 respectively.  He also successfully completed the Graduate Certificate in Higher Education, Higher Education Development Unit, Monash University, Australia in 2005. Previously he was a senior lecturer at the Gippsland School of IT, Monash University. He is currently Deputy Head of School of Engineering and IT, Faculty of Science and Technology, Federation University Australia. His research interest includes image processing, machine learning and bioinformatics. He also received a prestigious Australian Research Council (ARC) discovery project grant in 2013. He regularly serves on the reviewer boards of a number of top international journals (e.g. Pattern Recognition and Neurocomputing) and as a program member for several international conferences (e.g. IEEE CEC and ICME) He taught a number of subjects such as database, systems analysis and design, programming, and project management. He was also nominated for the 2007 Staff Excellence Award in Teaching and the 2008 Excellence Award in Gippsland Community Engagement Team.

Qualifications

Graduate Certificate in Higher Education - Monash University 2008

PHD - Computing - Monash University 2004

Research grants

2013-2015 Discovery Projects Grant, The Australian Research Council ($270,000)

  • Title:Effective image search and retrieval through automatic image annotation

2013 Small Grants Research Support Scheme, Monash University ($9,938)

  • Title: An approach for automatic multimodal image registration with image segmentation

2008-2009 Small Grants Research Support Scheme, Monash University ($18,000)

  • Title: Building ensembles using local models without randomisation to overcome the limitations of randomised ensembles

2005-2006 Joint Faculty of Arts/ Faculty of IT Small Grants Scheme, Monash University ($10,000)

  • Title: Active versus passive training in a virtual environment

2006 Faculty of IT Small Grants Scheme, Monash University ($19,000)

  • Title: Image indexing technique for flexible sub-image Content-based Image Retrieval querying

 2005 Faculty of IT Small Grants Scheme, Monash University ($18,000)

  • Title: Using Text-based Retrieval Techniques for Content-based Image Retrieval

 Postgraduate research supervisions

Current supervision

Program of study: (Doctorate by research)

  • Thesis title: A Robust and Efficient System for Multimodal Image Registration
  • Supervisors: Lu, G (Main), Lackmann, M (Associate), Teng, S (Associate)

Program of study: (Doctorate by research)

  • Thesis title: Detection and reconstruction of building in complex scenes using LIDAR and photogrammetric imagery .
  • Supervisors: Teng, S (Main), Lu, G (Associate), Awrangjeb, M (Associate)

Completed PhD supervision

Student: Barca, J

  • Thesis title: New multicolour illuminated contour-based markers and their use in motion capture. (2009)
  • Supervisors: Morgan, M (Main), Teng, S (Associate)

Student: Hossain, M

  • Thesis title: An effective technique for multi-modal image registration (2012)
  • Supervisors: Lu, G (Main), Teng, S (Associate), Zhang, D (Associate)

Student: Ooi, C

  • Thesis title: Differential prioritization in feature selection for multiclass molecular classification (2007)
  • Supervisors: Chetty, M (Main), Teng, S (Associate).

Student: Sadat, R

  • Thesis title: Effective and efficient techniques for contour-based corner detection and description for image matching (2013.)
  • Supervisors: Teng, S (Main), Lackmann, M (Associate), Lu, G (Associate).

Student: Tan, S

  • Thesis title: Approaches to simplify and improve swarm-based clustering (2008)
  • Supervisors: Ting, K (Joint-Co), Teng, S (Joint)

Completed masters supervision

Student: Wells, J

  • Thesis title: Ensembles Without Randomisation or Perturbation (2009)
  • Supervisors: Ting, K (Main), Teng, S (Associate) 

Publications

Journal articles

Teng, S. W., Sadat, R.M.N, and Lu, G., 2015, Effective and efficient contour-based corner detectors, Pattern Recognition, vol 48, issue 7, Elsevier, United Kingdom, pp. 2185-2197. doi: 10.1016/j.patcog.2015.01.016

Teng, S. W., Hossain, T., and Lu, G, 2015, Multimodal image registration technique based on improved local feature descriptors, Journal of Electronic Imaging, vol 24, issue 1, 013013. doi:10.1117/1.JEI.24.1.013013.

Tan, S., Ting, K., Teng, S., 2011, A general stochastic clustering method for automatic cluster discovery, Pattern Recognition [P], vol44, issue 10-11, Pergamon, United Kingdom, pp. 2786-2799.

Nievergall, E., Janes, P.W., Stegmayer, C., Vail, M.E., Haj, F.G., Teng, S.W., Neel, B.G., Bastiaens, P.I., Lackmann, M., 2010, PTP1B regulates Eph receptor function and trafficking, Journal of Cell Biology [P], vol 191, issue 6, Rockefeller University Press, USA, pp. 1189-1203.

Ooi, C.H., Chetty, M., Teng, S.W., 2009, Degree of differential prioritization, IEEE Engineering in Medicine and Biology Magazine [P], vol 28, issue 4, The Institute of Electrical and Electronics Engineers, New York NY USA, pp. 45-51.

Ooi, C.H., Chetty, M.R., Teng, S.W., 2007, Characteristics of predictor sets found using differential prioritization, Algorithms For Molecular Biology, vol 2, issue 7, BioMed Central Ltd, United Kingdom, pp. 1-21.

Ooi, C.H., Chetty, M.R., Teng, S.W., 2007, Differential prioritization in feature selection and classifier aggregation for multiclass microarray datasets, Data Mining and Knowledge Discovery, vol 14, issue 3, Springer New York LLC, United States of Amercia, pp. 329-366.

Teng, S.W., Lu, G., 2007, Image indexing and retrieval based on vector quantization, Pattern Recognition, vol 40, issue 11, Elsevier, United Kingdom, pp. 3299-3316.

Ooi, C.H., Chetty, M.R., Teng, S.W., 2006, Differential prioritization between relevance and redundancy in correlation-based feature selection techniques for multiclass gene expression data, B M C Bioinformatics, vol 7, BioMed Central Ltd, UK, pp. 1-19.

Teng, S.W., Ting, K.M., 2006, Ehipasiko: a content-based image indexing and retrieval system, Frontiers in Artificial Intelligence and Applications, vol 138, IOS Press, Netherlands, pp. 436-437.

Teng, S., Lu, G., 2002, Effects of codebook sizes, codeword dimensions, and colour spaces on retrieval performance of image retrieval using vector quantization, Lecture Notes in Computer Science: Advances in Multimedia Information Processing - PCM 2002, vol 2532, Springer-Verlag, Berlin Germany, pp. 217-228.

Teng, S., Lu, G., 2001, An evaluation of the robustness of image retrieval based on vector quantization, Lecture Notes in Computer Science, vol 2195, Springer-Verlag Berlin, Berlin Germany, pp. 474-481.

Conference proceedings

Zhou, S., Teng, S.W., Lu G., Zhang, D., Extracting Road Centrelines from Binary Road Images by Optimizing Geodesic Lines, 30th International Conference on Image and Vision Computing New Zealand (IVCNZ 2015), 23th and the 24th of November, 2015, Auckland, New Zealand.

Karmakar, P., Teng, S.W., Lu G., Zhang, D., Rotation Invariant Spatial Pyramid Matching for Image Classification, International Conference on Digital Image Computing: Techniques and Applications (DICTA), 23rd - 25th November, 2015, Adelaide, South Australia, Australia.

Lv, G., Teng, S. W., Lu, G., 2014, A Novel Multi-modal Image Registration Method Based on Corners, 2014 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 25 November 2014 to 27 November 2014, IEEE, Piscataway NJ USA.

Siddiqui, F.U., Teng, S.W., Lu, G., Awrangjeb, M.,  2014, Automatic Extraction of Buildings in an Urban Region, Proceedings of 2014 29th International Conference on Image and Vision Computing New Zealand (IVCNZ), 19 November 2014 to 21 November 2014, ACM International Conference Proceedings Series Digital Library, New York NY USA.

Lv, G., Teng, S. W., Lu, G., Lackmann, M., 2013, Detection of structural similarity for multimodal microscopic image registration, 2013 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 26 November 2013 to 28 November 2013, IEEE, Piscataway NJ USA, pp. 236-243.

Lv, G., Teng, S., Lu, G., Lackmann, M., Maximizing structural similarity in multimodal biomedical microscopic images for effective registration, Proceedings 2013 IEEE International Conference on Multimedia and Expo, 15 July 2013 to 19 July 2013, IEEE, Piscataway NJ USA, pp. 1-6.

Siddiqui, F.U., Teng, S.W., Lu, G., Awrangjeb, M.,  2013, An improved building detection in complex sites using the LIDAR height variation and point density, Proceedings of 2013 28th International Conference on Image and Vision Computing New Zealand (IVCNZ), 27 November 2013 to 29 November 2013, IEEE, Piscataway NJ USA, pp. 1-6.

Hossain, T., Teng, S.W., Lu, G., 2012, Achieving high multi-modal registration performance using simplified Hough-Transform with Improved Symmetric-SIFT, 2012 International Conference on Digital Image Computing Techniques and Applications (DICTA), 3 December 2012 to 5 December 2012, Institute of Electrical and Electronics Engineers, Piscataway NJ USA, pp. 1-7.

Sadat, R.M.N., Teng, S.W., Lu, G., 2012, An effective method of estimating scale-invariant interest region for representing corner features, Proceedings of IVCNZ 2012 Conference, 26 November 2012 to 28 November 2012, Association for Computing Machinery, Inc, New York USA, pp. 73-78.

Sadat, R., Teng, S., Lu, G., 2011, An effective and efficient contour-based corner detector using simple triangular theory, 19th Pacific Conference on Computer Graphics and Applications, 21 September to 23 September 2011, Eurographics Association, Goslar Germany, pp. 37-42.

Tan, S., Ting, K., Teng, S., 2011, Clustering gene expression data using ant-based heuristics, 2011 IEEE Congress on Evolutionary Computation (CEC), 5th June 2011 to 8th June 2011, Institute of Electrical and Electronics Engineers, Piscataway NJ USA, pp. 1-8.

Hossain, T., Lv, G., Teng, S., Lu, G., Lackmann, M., 2011, Improved Symmetric-SIFT for multi-modal image registration, 2011 International Conference on Digital Image Computing: Techniques and Applications (DICTA 2011), 6 December 2011 to 8 December 2011, IEEE Computer Society, Los Alamitos CA USA, pp. 197-202.

Lv, G., Hossain, T., Teng, S., Lu, G., Lackmann, M., 2011, Improving SIFT's performance by incorporating appropriate gradient information, 26th Image and Vision Computing New Zealand Conference (IVCNZ 2011), 29 November 2011 to 1 December 2011, Patrice Delmas, Jason James and Burkhard Wuensche, Auckland New Zealand, pp. 381-386.

Tan, S.C., Ting, K.M., Teng, S.W., 2011, Simplifying and improving ant-based clustering, International Conference on Computational Science (ICCS 2011), 1 June 2011 to 3 June 2011, Elsevier BV, The Netherlands, pp. 46-55.

Sadat, R., Teng, S., Lu, G., Hasan, S., 2011, Texture classification using multimodal invariant local binary pattern, 2011 IEEE Workshop on Applications of Computer Vision, 5 January 2011 to 7 January 2011, IEEE Computer Society, Los Alamitos CA USA, pp. 315-320.

Tan, S., Ting, K., Teng, S., 2010, A comparative study of practical stochastic clustering method with traditional methods, Proceedings of the 23rd Australasian Joint Conference on Artificial Intelligence, 7 December 2010 to 10 December 2010, Springer - Verlag, Berlin Germany, pp. 112-121.

Hossain, T., Teng, S., Lu, G., Lackmann, M., 2010, An enhancement to SIFT-based techniques for image registration, Proceedings of the 2010 Digital Image Computing: Techniques and Applications, 01 December 2010 to 03 December 2010, IEEE Computer Society, Los Alamitos CA USA, pp. 166-171.

Sadat, R., Teng, S., Lu, G., 2010, Image registration using modified local ternary pattern, Proceedings of the 25th International Conference of Image and Vision Computing New Zealand, 8 November 2010 to 9 November 2010, IEEE, Piscataway NJ USA, pp. 1-8.

Ting, K.M., Wells, J.R., Tan, S.C., Teng, S.W., Webb, G., 2009, FaSS: Ensembles for stable learners, Proceedings of the 8th International Workshop on Multiple Classifier Systems (MCS 2009), 10 June 2009 to 12 June 2009, Springer - Verlag, Berlin Germany, pp. 364-374.

Ooi, C.H., Teng, S.W., Chetty, M.R., 2008, A study on the importance of differential prioritization in feature selection using toy datasets, Proceedings of the Third IAPR International Conference on Pattern Recognition in Bioinformatics (PRIB 2008), 15 October 2008 to 17 October 2008, Springer - Verlag, Berlin Germany, pp. 311-322.

Tan, S.C., Ting, K.M., Teng, S.W., 2008, Issues of grid-cluster retrievals in swarm-based clustering, Proceedings of the 2008 IEEE World Congress on Computational Intelligence, 1 June 2008 to 6 June 2008, IEEE Press, Piscataway NJ USA, pp. 511-518.

Tan, S.C., Ting, K.M., Teng, S.W., 2007, Examining dissimilarity scaling in ant colony approaches to data clustering, Proceedings of the Third Australian Conference on Progress in Artificial Life (ACAL 2007), 4 December 2007 to 6 December 2007, Springer, Germany, pp. 269-280.

Teng, S.W., Lu, G., 2006, Efficient implementation of vector quantization for image retrieval, The 12th International Multi-Media Modelling Conference Proceedings, 04 January 2006 to 06 January 2006, Institute of Electrical and Electronics Engineers, Inc., Beijing China, pp. 280-287.

Ooi, C.H., Chetty, M.R., Teng, S.W., 2006, Investigating the class-specific relevance of predictor sets obtained from DDP-based feature selection technique, Proceedings of the International Workshop on Pattern Recognition in Bioinformatics (PRIB 2006), 20 August 2006 to 20 August 2006, Springer-Verlag, Germany, pp. 60-70.

Ooi, C.H., Chetty, M.R., Teng, S.W., 2006, OVA scheme vs. single machine approach in feature selection for microarray datasets, Proceedings of the 6th Industrial Conference on Data Mining: Advances in Data Mining (ICDM 2006), 14 July 2006 to 15 July 2006, Springer-Verlag, Germany, pp. 10-23.

Tan, S.C., Ting, K.M., Teng, S.W., 2006, Reproducing the results of ant-based clustering without using ants, 2006 IEEE World Congress on Computational Intelligence, 16 July 2006 to 21 July 2006, Omnipress, WI USA, pp. 1760-1767.

Ooi, C.H., Chetty, M.R., Teng, S.W., 2005, Modeling microarray datasets for efficient feature selection, Proceedings 4th Australasian Data Mining Conference, 05 December 2005 to 06 December 2005, University of Technology, Sydney NSW Australia, pp. 115-131.

Ooi, C.H., Chetty, M.R., Teng, S.W., 2005, Relevance, redundancy and differential prioritization in feature selection for multiclass gene expression data, Proceedings of the 6th International Symposium on Biological and Medical Data Analysis (ISBMDA 2005), 10 November 2005 to 11 November 2005, Springer-Verlag, Berlin Germany, pp. 367-378.

Teng, S.W., Lu, G., 2003, Comparison of retrieval effectiveness of colour-based techniques on MPEG-7 common colour dataset, 2003 Joint Conference of the Fourth International Conference on Information, Communications and Signal Processing and Fourth Pacific-Rim Conference on Multimedia, 15 December 2003 to 18 December 2003, Nanyang Technological University, Singapore, pp. 1-5.

Teng, S., Lu, G., 2001, Performance study of image retrieval based on vector quantization, Intelligent Multimedia, Computing and Communications: Technologies and Applications of the Future: Proceedings of the International Conference on Intelligent Multimedia and Distance Education, 01June 2001 to 03 June 2001, John Wiley & Sons, Inc., USA, pp. 76-80.