• Statistics: data mining, statistical modeling, machine learning
• Bioinformatics: axon tracking, neuron analysis, Chinese drugs identification & classification
• Pattern Recognition & Image Processing: variational image segmentation, texture analysis, content-based image retrieval, computational & inverse lithography

•  Research Grant Studentship, 2005-2008
• Madam Hui Tang Shing Yan Fellowship, 2008
• Li Po Chun Charitable Trust Fund Postgraduate Scholarship, 2007              
• Professor Huang Hong Ci Prize, 2005
• Scholastic Award for Master of Science in Scientific Computing, 2005

• On-going: Reviewer for IEEE Transactions on Communications, IEEE Transactions on Image Processing, IEEE Signal Processing Letters, Communications in Statistics – Theory and Methods, Review of Pacific Basin Financial Markets and Policies, Mathematical Problems in Engineering.
• Conference Co-chair, RGC Postgraduate Students Conference on Computer Imaging and Vision, Hong Kong Baptist University, Jun 12–14, 2007.

..........Journal Articles..........

1. T. S. Ho, S. K. Choy, P. H. Tong and V. Tang, A Forecasting Analytics Model for Enhancing E-commerce Logistics Competence, Industrial Management & Data Systems, 2022 (accepted).
2. T. C. Ng and S. K. Choy, Variational Fuzzy Superpixel Segmentation, IEEE Transactions on Fuzzy Systems, vol. 30, no. 1, pp. 14-26, 2022.
3. S. K. Choy, T. C. Ng, K. W. Yu and S. Y. Lam, Fuzzy Bit-plane-dependence Region Competition, Mathematics, vol. 9, no. 19, 2392, 2021.
4. S. K. Choy, K. W. Yu, C. L. Lee, S. Y. Lam and Y. W. Wong, A Two-stage Variational Jump Point Detection Algorithm for Real Estate Analysis, Land Use Policy, vol. 111, 105687, 2021.
5. S. K. Choy, T.C. Ng, and C. Yu. Unsupervised Fuzzy Model-based Image Segmentation, Signal Processing, 171, 107483, 2020.
6. Carisa K. W. Yu, T. L. Yip and S. K. Choy, Optimal Portfolio Choice for Ship Leasing Investments, Maritime Policy and Management, DOI: 10.1080/03088839.2019.1647361, 2019.
7. S. Y. Lam and S. K. Choy, A Trimmed Clustering-Based l 1 - Principal Component Analysis Model for Image Classification and Clustering Problems with Outliers, Applied Sciences, vol. 9 (1562), 2019.
8. S. K. Choy, Kevin Yuen and Carisa Yu, Fuzzy Bit-plane-dependence Image Segmentation, Signal Processing, vol. 154, pp. 30-44, 2019.
9. K. W. Yu, Y. Hu, X. Yang and S. K. Choy, Abstract Convergence Theorem for Quasi-convex Optimization Problems with Applications, Optimization, DOI: 10.1080/02331934.2018.1455831, 2018.
10. S. K. Choy, S. Y. Lam, K. W. Yu, W. Y. Lee and K. T. Leung, Fuzzy Model-based Clustering and Its Application in Image Segmentation, Pattern Recognition, vol. 68, pp. 141-157, 2017.
11. S. Y. Lam, K. W. Yu, S. K. Choy and K. T. Leung, Jump Point Detection Using Empirical Mode Decomposition, Land Use Policy, Vol. 58, pp. 1–8, 2016.
12. S. K. Choy,N. Jia, C. S. Tong, M. L. Tang, and Edmund Y. Lam, A Robust Computational Algorithm for Inverse Photomask Synthesis in Optical Projection Lithography, SIAM Journal on Imaging Sciences, vol. 5, no. 2, pp. 625-651, 2012.
13. S. K. Choy, M. L. Tang, and C. S. Tong, Image Segmentation Using Fuzzy Region Competition and Spatial/Frequency Information, IEEE Transactions on Image Processing, vol. 20, no. 6, pp. 1473-1484, 2011.
14. L. Li, C. S. Tong, and S. K Choy, Texture Classification Using Refined Histogram, IEEE Transactions on Image Processing, vol. 19, no. 5, pp. 1371-1378, 2010.
15. S. K. Choy and C. S. Tong, Statistical Wavelet Subband Characterization Based on Generalized Gamma Density and Its Application in Texture Retrieval, IEEE Transactions on Image Processing, vol. 19, no. 2, pp. 281-289, 2010.
16. S. K. Choy, C. S. Tong, and Z. Z. Zhao, A Novel and Effective Multistage Classification System for Microscopic Starch Grain Images, Microscopy Research and Technique, vol.73, no. 1, pp. 77-84, 2010.
17. C.S. Tong, S. K. Choy, S. N. Chiu, Z. Z. Zhao, and Z. T. Liang, Characterization of Shapes for Use in Classification of Starch Grains Images, Microscopy Research and Technique, vol. 71, no. 9, pp. 651-658, 2008.
18. S. K. Choy and C. S. Tong, Statistical Properties of Bit-Plane Probability Model and Its Application in Supervised Texture Classification, IEEE Transactions on Image Processing,vol. 17, no. 8, pp. 1399-1405, 2008.
19. S. K. Choy and C. S. Tong, Supervised Texture Classification Using Characteristic Generalized Gaussian Density, Journal of Mathematical Imaging and Vision, vol. 29, no. 1, pp. 35-47, 2007.
20. C. S. Tong, S. K. Choy, Z. Z. Zhao, Z. T. Liang, and H. Chen, Identification of Starch Grains in Microscopic Images Based on Granulometric Operations, Microscopy Research and Technique, vol. 70, no. 8, pp. 724-732, 2007.
21. M. Pi, C. S. Tong, S. K. Choy, and H. Zhang, A Fast and Effective Model for Wavelet Subband Histograms and Its Application in Texture Image Retrieval, IEEE Transactions on Image Processing, vol. 15, no. 10, pp. 3078-3088, 2006.

..........Conference Proceedings & Book Chapters..........

1. S. K. Choy, Fuzzy Model-based Unsupervised Image Segmentation, Universal Academic Cluster International Spring Conference in Sapporo & Hakodate, Hokkaido, Japan, 2019.
2. S. K. Choy and T. F. Zel, Real Estate Market Analysis with Time- frequency Decomposition, The 18th Conference of the Applied Stochastic Models and Data Analysis International Society and Demographics2019 Workshop, Florence, Italy, 2019.
3. S. K. Choy, W. Y. Lee, K. W. Yu and F. L. Yuen, Analysis of Property Markets by Time-Frequency Decomposition Approach, International Journal of Arts and Sciences (IJAS) International Conference, Florence, Italy, 2018.
4. K. W. Yu, F. L. Yuen, S. K. Choy and W. Y. Lee, Time-Frequency Analytical Tool for Stock Market Analysis, International Journal of Arts and Sciences (IJAS) International Conference, Florence, Italy, 2018.
5. K. W. Yu, F. L. Yuen, S. K. Choy, T. F. Zel and Y. Wu, Dynamic Stock Market Analysis: Algorithm and Applications, 21st International Congress on Insurance: Mathematics and Economics, Vienna, July 3-5, 2017.
6. S. K. Choy, W. Y. Lee, Y. Wu and T. F. Zel, Property Market Analysis Using Time-Frequency Decomposition, 21st International Congress on Insurance: Mathematics and Economics, Vienna, July 3-5, 2017.
7. W. Zhu, W. Y. Lee, S. K. Choy, S. Y. Lam and K. W. Yu, Systemic Weather Risk and Agricultural Insurance Pricing, 21st International Congress on Insurance: Mathematics and Economics, Vienna, July 3-5, 2017.
8. Benson S. Y. Lam and S. K. Choy, K-Medians Clustering Based -PCA Model, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), South Brisbane, pp. 1359-1363, 2015.
9. S. K. Choy, K. Chen, Y. Zhang, M. Baron, M. A. Teylan, Y. Kim, C. S. Tong, Z. Song, and S. T. Wong, Multi Scale and Slice-based Approach for Automatic Spine Detection, Proc IEEE Eng. Med. Biol. Soc., Buenos Aires, Argentina, pp. 4765-4768, 2010.
10. S. K. Choy and C. S. Tong, A Correlated Bit-Plane Model for Wavelet Subband Histograms and Its Application to Chinese Materia Medica Starch Grains Classification, The Third International Conference on Signal-Image Technology and Internet-based Systems (IEEE SITIS 2007),Shanghai Jiaotong University, China, pp. 542-548, Dec 16-19, 2007.
11. S. K. Choy and C. S. Tong, A Bit-Plane-Based Probability Model for Image Variations and Its Application to Supervised Starch Grains Classification, RGC Postgraduate Students Conference on Computer Imaging and Vision, Hong Kong Baptist University, pp. 34-37, Jun 12-14, 2007.
12. S. K. Choy and C. S. Tong, Supervised Learning Using Characteristic Generalized Gaussian Density and Its Application to Chinese Materia Medica Identification, Wavelet Analysis and Applications, Applied and Numerical Harmonic Analysis, Springer(Birkhauser)-Verlag, pp. 443-452, 2006.
13. S. K. Choy and C. S. Tong, A Multi Stage Fuzzy K-means Recognition for Chinese Materia Medica Classification, Asia-Pacific Workshop on Visual Information Processing, City University of Hong Kong, pp. 236-241, Dec 11-13, 2005.
14. C. S. Tong and S. K. Choy, Classification of Chinese Herbal Medicine Using Microscopic Image Processing, Bernoulli Society East Asian and Pacific Regional Conference, The Hong Kong University of Science and Technology, pp. 74, Dec 18-20, 2003.

..........Technical Reports..........

1. S. K. Choy and C. S. Tong, A Bit-Plane-Based Nonhomogeneous Markov Model for Image Variations: Theory and Applications, HKBU Mathematics Department Technical Report, MATH-439, 2008.
2. C. S. Tong, S. K. Choy, and Z. Z. Zhao, Multi Stage Recognition for Chinese Materia Medica Identification, HKBU Mathematics Department Technical Report, MATH-426, 2006.
3. C. S. Tong, S. K. Choy, S. N. Chiu, and Z. Z. Zhao, Application of Chord Length Distribution to the Classification of Chinese Materia Medica, HKBU Mathematics Department Technical Report, MATH-425, 2006.
4. C. S. Tong, S. K. Choy, Z. Z. Zhao, and W. J. Zhang, Chinese Materia Medica Identification Using Granulometric Operations, HKBU Mathematics Department Technical Report, MATH-424, 2006.

1. (UGC/FDS14/P02/21) HK$915,270. “Partially Separable and Sparse Optimization: Theory and Applications” funded by the University Grants Committee (UGC) 2021/2022. (PI)
2. (UGC/FDS14/P03/20) HK$966,100. “Low-rank Matrix Optimization via Nonconvex Regularization with Applications” funded by the University Grants Committee (UGC) 2020/2021. (Co-I)
3. (Research Matching Grant Scheme) HK$7,008,344. "Applications of SAS Viya in Big Data Analytics," funded by the University Grants Committee (UGC) 2019/2020. (Co-PI)
4. (UGC/FDS14/P02/19) HK$985,144. "Unsupervised Fuzzy Superpixel-based Image Segmentation" funded by the University Grants Committee (UGC) 2019/2020. (PI)
5. (UGC/FDS14/P01/17) HK$575,473. “Fuzzy Bit-plane-dependence Multi-domain Region Competition: Mathematical Modelling and Applications” funded by the University Grants Committee (UGC) 2017/2018. (PI)
6. (UGC/FDS14/P02/17) HK$611,153. “Interior Subgradient Methods for Large-scale Quasi-convex Optimization and Their Applications” funded by the University Grants Committee (UGC) 2017/2018. (Co-I)
7. (UGC/FDS14/P04/15) HK$870,550. “Fuzzy Generalised Gaussian Density Segmentation Model: Mathematical Analysis and Applications,” funded by the University Grants Committee (UGC) 2015/2016. (PI)
8. (UGC/IIDS14/P01/15) HK$419,175. “Symposia in Data Science,” funded by the  University Grants Committee (UGC) 2015/2016. 
9. (UGC/FDS14/E02/14) HK$573,620. “Model-based Unsupervised Image Segmentation,” funded by the University Grants Committee (UGC) 2014/2015. (PI)
10. (UGC/FDS14/E03/14) HK$989,897. "Data Functional Modelling with Outliers," funded by the University Grants Committee (UGC) 2014/2015. (Co-I)
11. (UGC/GEN/276/95(15)) HK$50,000. “RGC Postgraduate Students Conference Grant,” funded by the University Grants Committee (UGC) 2006/2007.