Pei-Chiang Shao（邵培強）

Experiences

• Assistant Professor, Department of Applied Mathematics, Chung Yuan Christian University (2022/08 ~ ) 

• Assistant Professor, College of Electrical Engineering and Computer Science, CYCU (2022/08 ~ 2024/07)

• Assistant Professor, Department of Mathematics, Soochow University (2019/08 ~ 2022/07)

• Postdoctoral fellow, Department of Mathematics, National Central University (2018/02 ~ 2019/07)

• Adjunct Instructor, Department of Mathematics, National Central University (2016/02 ~ 2017/07)

• Ph.D., M.S., B.S. in Mathematics, National Central University, Taiwan (2017/01, 2011/06, 2008/06)

Services

• Journal Reviewer of Applied Mathematical Modelling

• Journal Reviewer of Applied Intelligence

• Journal Reviewer of IEEE Transactions on Image Processing

• Journal Reviewer of Information Fusion

• Journal Reviewer of  Journal of Information Science & Engineering

• Journal Reviewer of SIAM Journal on Imaging Sciences

• Journal Reviewer of Signal Processing

• Journal Reviewer of Taiwanese Journal of Mathematics

• Conference Reviewer of Taiwan Academic Network (TANET)

• Conference Reviewer of National Computer Symposium (NCS)

• Conference Reviewer of ICOEO (ISTCI)

Specialties

• Image Processing

• Signal Analysis

• Numerical Analysis

• Computer Vision

Publications

• Pei-Chiang Shao*, Chin-Yu Liu, Image deraining from thick to thin: a variational approach, submitted for publication, 2024.

• Pei-Chiang Shao, Global-local active contour for segmenting images with simultaneous inhomogeneity and texture, submitted for publication, 2024.

• Po-Wen Hsieh, Pei-Chiang Shao*, Variational model for simultaneous fusion and enhancement of multi-focus images, submitted for publication, 2024.

• Po-Wen Hsieh*, Pei-Chiang Shao, Hue-preserving image enhancement via complementary enhancing terms, Signal Processing, 195 (2022), 108491 .

• Po-Wen Hsieh*, Pei-Chiang Shao, Variational contrast-saturation enhancement model for effective single image dehazing, Signal Processing, 192 (2022), 108396 .

• Pei-Chiang Shao, Variational model for single-image reflection suppression based on multiscale thresholding, Sensors, 22 (2022), 2271.

• Po-Wen Hsieh, Pei-Chiang Shao*, Blind image deblurring based on the sparsity of patch minimum information, Pattern Recognition, 109 (2021), 107597.

• Po-Wen Hsieh, Pei-Chiang Shao, Suh-Yuh Yang*,  Adaptive variational model for contrast enhancement of low-light images, SIAM Journal on Imaging Sciences, 13 (2020), pp. 1-28.

• Po-Wen Hsieh*, Pei-Chiang Shao, Suh-Yuh Yang,  Advection-enhanced gradient vector flow for active-contour image segmentation, Communications in Computational Physics, 26 (2019), pp. 206-232.

• Po-Wen Hsieh, Pei-Chiang Shao, Suh-Yuh Yang*,  A regularization model with adaptive diffusivity for variational image denoising, Signal Processing, 149 (2018), pp. 214-228.

• Pei-Chiang Shao, Causal connectivity analysis for identifying the information flow of neuronal networks, Doctoral dissertation, National Central University, 2017.

• Pei-Chiang Shao, Jian-Jia Huang, Wei-Chang Shann, Chen-Tung Yen, Meng-Li Tsai*, Chien-Chang Yen*, Granger causality-based synaptic weights estimation for analyzing neuronal networks, Journal of Computational Neuroscience, 38 (2015), pp. 483-497.

• Pei-Chiang Shao, Wan-Ting Tseng, Chung-Chih Kuo, Wei-Chang Shann, Meng-Li Tsai, Chien-Chang Yen*, Effects of spike sorting error on the Granger causality index, Neural Networks, 46 (2013), pp. 249-259.

• Pei-Chiang Shao, A study on the causality between signals of neurons by the autoregressive model, Master's thesis, National Central University, 2011.

Last updated: 2025-03-05