Publications

 

Books

1.       Zheru Chi, Hong Yan and Tuan Pham, Fuzzy Algorithms: With Applications to Image Processing and Pattern Recognition. World Scientific, Singapore, 1996.

2.       S. Valliappan and T.D. Pham, Fuzzy Logic Applied to Numerical Modelling of Engineering Problems. Elsevier Science, North-Holland, 1995.

 

Editor for Journals, Books and Conference Proceedings

 

1.       Special issue of Int. J. Hybrid Intelligent Systems, selected and extended papers of the 2007 International Symposium on Computational Models for Life Sciences (CMLS’07), scheduled for publication by end of 2008, Eds. T.D. Pham and X. Zhou.

 

2.       Special issue of Pattern Recognition, selected and extended papers of the 2007 International Symposium on Computational Models for Life Sciences (CMLS’07), scheduled for publication by end of 2008, Eds. T.D. Pham and X. Zhou.

 

3.       AIP Proceedings of 2007 Int.  Symposium on Computational Models for Life Sciences (CMLS’07, 17-19 December 2007, QLD, Australia), Eds. T.D. Pham and X. Zhou, AIP Conference Proceedings Volume 952, ISBN: 978-0-7354-0466-3.

 

4.       Advanced Computational Methods for Biocomputing and Bioimaging. Eds. TD. Pham, H. Yan, and D. I. Crane.  Nova Science Publishers, New York, USA, 2007.

 

5.       Proceedings of 3rd WSEAS Int. Conf. Cellular and Molecular Biology, Biophysics and Bioengineering (BIO’07, 26-28 August 2007, Athens, Greece), Eds. C.A. Long, P. Anninos, and T. Pham.

 

6.       Proceedings of 2006 WSEAS Int. Conf. Mathematical Biology and Ecology, 2006WSEAS/IASME Int. Conf. Fluid Mechanics, 2006 WSEAS/IASME Int. Conf. Heat and Mass Transfer (Miami, Florida, USA, Jan 18-29, 2006), Eds. C.A. Long, S.H. Sohrab, H. Catrakis, A.G. Fedorov, F. Sotiropoulos, A.C. Benim, G. Wang, T. Pham.

 

7.       Proceedings of the 3rd WSEAS Int. Conf. Mathematical Biology and Ecology (Gold Coast, QLD, Australia, 17-19 January, 2007), Ed. T. D. Pham.

 

8.       Virtual Engineering and Emergent Computing (Volume 3, SCI2000 Proceedings, Orlando, USA, International Institute of Informatics and Systemics), Eds. N. Callaos, T. Pham, M. Kudo, N. Fun­abiki, and D. Andina.

 

 

Papers and Chapters in Contributed Volumes

 

1.       D. Yu, T.D. Pham, H. Yan, Image pattern recognition based morphological structure and applications, in: Pattern Recognition Technologies and Applications: Recent Advances, Eds. B. Verma and M. Blumenstein, Idea Group Publishing, 2007.

 

2.       D.T. Tran and T.D. Pham, “Modeling Methods for Cell Phase Classification”, in: Advanced Computational Methods for Biocomputing and Bioimaging, Tuan D. Pham, Hong Yan, Denis I. Crane, eds., Nova Science Publishers, New York, 2007, pp. 143-166.

 

3.       T.D. Pham, D.T. Tran, X. Zhou, and S.T.C. Wong, “Classification of Cell Phases in Time-Lapse Images by Vector Quantization and Markov Models”, in: Neural Stem Cell Research, Erik V. Greer, ed., Nova  Science , New York, 2006, pp. 155-174.

 

4.       T.D. Pham, and J.S. Yang, “Logo Detection in Complex Document Image Backgrounds”, in: Computer Aided Intelligent Recognition Techniques and Applications, Muhammad Sar­fraz, ed., John Wiley, Sussex, UK, pp. 89-98, 2005.

 

5.       T.D. Pham, “Logo Recognition and Detection with Geostatistical, Stochastic, and Soft-Computing Models”, in: Fuzzy Logic and the Internet, V. Loia, M. Nikravesh, and L.A. Zadeh, eds.,  Springer-Verlag, New York, pp. 277-308, 2004.

 

6.       T. Pham, M. Wagner and M. Mohammadian, “Toward Fuzzy Z”, in: New Frontiers in Computational Intelligence and its Applications, M. Mohammadian , ed., IOS Press, Netherlands, pp. 21-30, 2000.

 

7.       T.D. Pham and H. Yan, “Combination of Handwritten-Numeral Classifiers using Fuzzy Integrals”, in: Fuzzy Theory Systems: Techniques and Applications, C.T. Leondes, ed., Academic Press, NY, 1999, volume 3, chapter 41, pp. 1111-1127, 1999.

 

8.       T.D. Pham, “Measures of Fuzziness in FE Geotechnical Solutions”, in:          Impact of Computational Mechanics on Engineering Problems, V.A. Pulmano and V. Murti, eds., Balkema, Rotterdam, pp.119-126, 1993.

 

 

Papers in Refereed International Journals

 

1.       D. Yu, T.D. Pham, H. Yan, B. Zhang, and D.I. Crane, Segmentation of cultured neurons using logical analysis of grey difference, J. Neuroscience Methods, 166 (2007) 125–137.

 

2.       T.D. Pham, H. Wang, X. Zhou, D. Beck, M. Brandl,  G. Hoehn, J. Azok, M.-L. Brennan, S. L. Hazen, K. Li, S.T.C. Wong, Computational prediction models for early detection of risk of cardiovascular events using mass spectrometry data, IEEE Transactions on Information Technology in Biomedicine, in print and available on-line, DOI: 10.1109/TITB.2007.908756.

 

3.       T.D. Pham, Computational prediction models for cancer classification using mass spectrometry data, Int. J. Data Mining and Bioinformatics, in print.

 

4.       T.D. Pham, D.T. Tran, X. Zhou, and S.T.C. Wong, A microscopic image classification system for high-throughput cell-cycle screening, Int. J.  Intelligent Computing in Medical Sciences and Image Processing, 1:1 (2007) 67-77.

 

5.        H. Yan, and T.D. Pham, Spectral estimation techniques for DNA sequence and microarray data analysis, Current Bioinformatics, 2:2 (2007) 145-156.

 

6.       T.D. Pham, D.T. Tran, and X. Zhou, Fuzzy information fusion of classification models for high-throughput image screening of cancer cells in time-lapse microscopy, Int. Journal of  Knowledge-Based & Intelligent Engineering Systems, 11:4 (2007) 237-246.

 

7.       T.D. Pham, Spectral distortion measures for biological sequence comparisons and database searching, Pattern Recognition, 40:2 (2007) 516-529.

 

8.       T.D. Pham, Matching and fusing signal-estimation errors for similarity-based pattern classification, WSEAS Trans. Systems, 6:1 (2007) 125-132.

 

9.       T.D. Pham, D. Beck, and H. Yan, Spectral pattern comparison methods for cancer classification based on microarray gene expression data, IEEE Trans. Circuits and Systems I: Fundamental Theory and Applications, special issue on Advances on Life Science Systems, 53:11 (2006) 2425-2430.

 

10.   T.D. Pham, D. T. Tran, X. Zhou, and S.T.C. Wong, Integrated algorithms for image analysis and identification of nuclear division for high-content cell-cycle screening, Int. J.  Computational Intelligence and Applications, 6:1 (2006) 21-43.

 

11.   H. Yan, and T. Pham, Spectral similarity for analysis of DNA microarray time-series data, Int. Journal of Data Mining and Bioinformatics, 1:2 (2006) 150-161.

 

12.   T.D. Pham, LPC cepstral distortion measure for protein sequence comparison, IEEE Trans. NanoBioscience, 5:2 (2006) 83-88.

 

13.   T.D. Pham, Handling missing DNA microarray data by kriging estimators, Int. J. Bioinformatics Research and Applications, 2:2 (2006) 177-192.

 

14.   D. Tran, and T.D. Pham, A combined Markov and noise clustering modeling method for cell phase identification, WSEAS Trans. Biology and Biomedicine, 3:3 (2006) 161-166.

 

15.   T.D. Pham, C. Wells, and D.I. Crane, Analysis of microarray gene expression data, invited paper, Current Bioinformatics, 1:1 (2006) 37-53.

 

16.   D.T. Tran, and T.D. Pham, Fuzzy estimation of priors in speaker recognition, WSEAS Trans. Circuits and Systems, 4:4 (2005) 369-373.

 

17.   D.T. Tran, and T.D. Pham, Markov and fuzzy models for written language verification, WSEAS Trans. Systems, 4:4 (2005) 268-272.

 

18.   T.D. Pham, Integration of fuzzy and geostatistical models for estimating missing multivariate observations, WSEAS Trans. Systems, 4:4 (2005) 233-237.

 

19.   T.D. Pham, D. Beck, D.I. Crane, Fuzzy clustering of stochastic models for molecular phyloge­netics, WSEAS Trans. Biology and Biomedicine, 1:2 (2005), 87-92.

 

20.   T.D. Pham, D. Beck, D.I. Crane, Hidden Markov models for unaligned DNA sequence comparison, WSEAS Trans. Biology and Biomedicine, 1:2 (2005), 64-69.

 

21.   T.D. Pham, and J. Zuegg, A probabilistic measure for alignment-free sequence comparison, Bioinformatics, 20:18 (2004) 3455-3461.

 

22.   T.D. Pham, D. Crane, T.H. Tran, and T.H. Nguyen, Extraction of fluorescent cell puncta by adaptive fuzzy segmentation, Bioinformatics, 20:14 (2004) 2189-2196.

 

23.   T.D. Pham, Spot extraction in low-contrast images, WSEAS Trans. Systems, 2:3 (2004) 621-626.

 

24.   T.D. Pham, Unconstrained logo detection in document images, Pattern Recognition, 36:2 (2003) 3023-3025.

 

25.   T.D. Pham, Perception-based hidden Markov models: A theoretical framework for data mining and knowledge discovery, Soft Computing, 6:5 (2002) 400-405.

 

26.   T.D. Pham, An image restoration by fusion, Pattern Recognition, 34:12 (2001) 2403-2411.

 

27.   T.D. Pham, Computing with words in formal methods, Int. J. Intelligent Systems, 15:8 (2000) 801-810.

 

28.   T.D. Pham and M. Wagner, Image enhancement by kriging and fuzzy sets, Int. J. Pattern Recognition and Artificial Intelligence, 14:8 (2000) 1025-1038.

 

29.   T.D. Pham and M. Wagner, Speaker verification with fuzzy fusion and genetic optimization, Int. J. Advanced Computational Intelligence (Special Issue on Learning in Intelligent Algorithms and Systems Design), 3:6 (1999) 451-456.

 

30.   T.D. Pham and M. Wagner, Similarity normalization for speaker verification by fuzzy fusion, Pattern Recognition, 33:2 (2000) 309-315.

 

31.   T.D. Pham and M. Wagner, Ambiguity-reduction in speaker identification using relaxation label­ing process, Pattern Recognition, 32:7 (1999) 1249-1254.

 

32.   T.D. Pham and H. Yan, Color image segmentation using fuzzy integral and mountain clustering, Fuzzy Sets and Systems, 107 (1999) 121-130.

 

33.   A.R. Mirhosseini, H. Yan, K.M. Lam and T. Pham, Human face image recognition: An evidence aggregation approach, Computer Vision & Image Understanding, 71:2 (1998) 213-230.

 

34.   T.D. Pham, Reply to comment by Z. Sen, I. Sonmez, and H. Tath on “Grade estimation using fuzzy-set algorithms”, Mathematical Geology, 30:8 (1998) 1039-1042.

 

35.   T.D. Pham and M. Wagner, A geostatistical model for linear prediction analysis of speech, Pattern Recognition, 31:12 (1998) 1981-1991.

 

36.   T.D. Pham and H. Yan, An effective algorithm for the segmentation of digital plane curves – The isoparametric formulation, Pattern Recognition Letters, 19 (1998) 171-176.

 

37.   T.D. Pham and H. Yan, A kriging fuzzy integral, Information Sciences, 98 (1997) 157-173.

 

38.   T.D. Pham and H. Yan, A quasi-linear fuzzy measure of multi-attributes, Fuzzy Sets and Systems, 90 (1997) 255-266.

 

39.   T.D. Pham, Grade estimation using fuzzy-set algorithms, Mathematical Geology, 29:2 (1997) 291­305.

 

40.   S. Valliappan and T.D. Pham, Elasto-plastic finite element analysis with fuzzy parameters, Int.  J. Numerical Methods in Engineering, 38 (1995) 531-548.

 

41.   T.D. Pham and S. Valliappan, A least squares model for fuzzy rules of inference, Fuzzy Sets and Systems, 64 (1994) 207-212.

 

42.   S. Valliappan and T.D. Pham, Fuzzy finite element analysis of a foundation on an elastic soil medium, Int. J. Numerical and Analytical Methods in Geomechanics, 17 (1993) 771-789.

 

43.   S. Valliappan and T.D. Pham, Constructing the membership function of a fuzzy set with objective and subjective information, Microcomputers in Civil Engineering, 8 (1993) 75-82. (New journal title: Integrated Computer-Aided Engineering).

 

44.   S. Valliappan, T.D. Pham, V. Murti and J. Franklin, Fuzzy logic for automatic finite element mesh generator, Microcomputers in Civil Engineering, 8 (1993) 1-8.  (New journal title: Integrated Computer-Aided Engineering).

 

 

 

Papers in Refereed International Conferences

 

1.       D. Yu, T.D. Pham, X. Zhou, and S.T.C. Wong, Segmentation, recognition and tracing analysis for high-content cell-cycle screening, Proc. 2007 Int. Symp. Computational Models for Life Sciences (CMLS’07, 17 -19 December 2007, Gold Coast, QLD, Australia), AIP Conference Proceedings Volume 952, pp. 21-30, 2007.

 

2.       D. Yu, T.D. Pham, H. Yan, W. Lai, and D.I. Crane, Segmentation and reconstruction of cultured neuron skeleton, Proc. 2007 Int. Symp. Computational Models for Life Sciences (CMLS’07, 17 -19 December 2007, Gold Coast, QLD, Australia) AIP Conference Proceedings Volume 952, pp. 66-75, 2007.

 

3.       B. Zhang, T.D. Pham, Y. Zhang, Ovarian cancer identification from  mass spectra by kernel Fisher discriminant analysis, Proc. 2007 Int. Symp. Computational Models for Life Sciences (CMLS’07, 17 -19 December 2007, Gold Coast, QLD, Australia) AIP Conference Proceedings Volume 952, pp. 187-196, 2007.

 

4.       B. Zhang, Y. Zhang, T.D. Pham, and R.K. Begg, Gait classification in children with cerebral palsy by Bayesian approach, Proc. 3rd Int. Conf.  Intelligent Sensor Networks and Information Processing (December  2007, Melbourne, Victoria, Australia)

 

5.       B. Zhang, T. Pham, Y. Zhang, Bagging support vector machine for classification of SELDI-TOF mass spectra of ovarian cancer serum samples, (AI 2007, 2-6 December 2007, Gold Coast, QLD, Australia).

 

6.       T.D. Pham, Mass spectrometry based cancer classification using fuzzy fractal dimensions, 12th Iberoamerican Congress on Pattern Recognition (CIARP 2007, Viña del Mar / Valparaiso, Chile. November 13-16, 2007) CIARP 2007, LNCS 4756, pp. 614–623, 2007. 

 

7.       D. Yu, T.D. Pham, Analysis and recognition of touching cell images in cell-cycle screening based on morphological structures, 11th Int. Conf.  Knowledge-Based and Intelligent Information & Engineering Systems (KES 2007, 12-14 September 2007, Vietri sul Mare, Italy), Lecture Notes in AI.

 

8.       T.D. Pham, Fractal characteristics of mass spectrometry based cancer data, 3rd Int. Conf. Cellular and Molecular Biology, Biophysics and Bioengineering (BIO'07, 26-28 August 2007, Athens, Greece) pp. 30-35, 2007.

 

9.       D. Yu, T.D. Pham, and X. Zhou, Tracing and recognition of cell phases, 3rd  Int. Conf. Cellular and Molecular Biology, Biophysics and Bioengineering (BIO'07, 26-28 August 2007, Athens, Greece) pp. 36-41, 2007.

 

10.   T.D. Pham, Predictive modeling in proteomics-based disease detection, Proc. 29th Annual Int. Conf. IEEE Engineering in Medicine and Biology Society (IEEE-EMBC 2007, 23-26 August 2007, Lyon, France) pp. 3308-3311, 2007.

 

11.   D. Yu, T.D. Pham, and D.I. Crane, A region analysis approach for segmenting neural-cell images, Proc. 29th Annual Int. Conf. IEEE Engineering in Medicine and Biology Society (IEEE-EMBC 2007, 23-26 August 2007, Lyon, France) pp. 5529-5532, 2007.

 

12.   T.D. Pham, Geo-thresholding for segmentation of fluorescent microscopic cell images, Int. Conf. Mass-Data Analysis of Images and Signals in Medicine, Biotechnology, and Chemistry (MDA’2007, Leipzig, Germany, 17 July 2007), MDA 2007, LNAI 4826, pp. 15–26, 2007.

 

13.   T.D. Pham, X. Zhou, A novel image feature for nuclear-phase classification in high content screening , Int. Conf. Mass-Data Analysis of Images and Signals in Medicine, Biotechnology, and Chemistry (MDA’2007, Leipzig, Germany, 17 July 2007), MDA 2007, LNAI 4826, pp. 84–93, 2007.

 

14.   T.D. Pham, Double adaptive filtering of Gaussian noise degraded images, 15th Scandinavian Conference on Image Analysis (SCIA 2007, Aalborg, Denmark, June 10-14, 2007), LNCS 4522, pp. 848-857, 2007.

 

15.   T.D. Pham, H. Wang, X. Zhou, D. Beck, M. Brandl, G. Hoehn, J. Azok, M.-L. Brennan, S.L. Hazen, K. Li, and S.T.C. Wong, Linear predictive coding and its decision logic for early prediction of major adverse cardiac events using mass spectrometry data,  Proc. AI06 Workshop on Intelligent Systems for Bioinformatics (04 December 2006, Hobart, Tasmania, Australia) pp. 61-66, 2006.

 

16.   D. Yu, T.D. Pham, H. Yan, and D. Crane, Quantification of neural images using grey difference, Proc. AI06 Workshop on Intelligent Systems for Bioinformatics (04 December 2006, Hobart, Tasmania, Australia) pp. 73-80, 2006.

 

17.   T.D. Pham, V. Chandramohan, X. Zhou, and S.T.C. Wong, Robust feature extraction and reduction of mass spectrometry data for cancer classification, Proc . IEEE ICDM Workshop on Data Mining in Bioinformatics (18-22 December 2006, Hong Kong) pp. 202-206, 2006.

 

18.   T.D. Pham, Spatial linear predictive coding and its error matching for signal classification, Proc. 8th WSEAS Int. Conf.  Mathematical Methods and Computational Techniques in Electrical Engineering (Buchar