職員簡介

簡歷

博士，講師。澳大利亞新南威爾士大學電機工程學士、香港大學電機與電子工程系碩士，博士。加入香港都會大學前，他同時與香港大學專業進修學院，香港理工大學香港專上學院，及香港大學任教多門工程及電腦高級文憑，副學士及碩士課程。他的主要研究興趣是大數據分析，模式識別，生物訊息學，醫學訊號處理，時間序列分析，智能電網等。

所授課程及研究興趣

• 大數據分析
• 模式識別
• 生物訊息學
• 醫學訊號處理
• 時間序列分析
• 智能電網

學術及專業範疇

Project Experience:

• Co-I, HMRF, “A Smart Sleep Apnea Self-management Support Programme (4S) to improve apnea severity cardiovascular health - A pragmatic randomized controlled trial with mixed-method evaluation,” HK$1,481,764 (2022-2024)
• Project Research Assistant, Marvel Digital Limited, R&D and IP management of 3D/Multiview Auxiliary Data Compression and View Synthesis for ITF Project UIM/291 under the University-Industry Collaboration Programme (UICP) between HKU and Marvel Digital Limited (2015-2016)

President's Awards for Excellence in Inspirational Teaching (2022): 

• For recognition of academic staff of University who have demonstrated an outstanding level of teaching.

著作

期刊論文

• J.Q. Lin, S. C. Chan and H.C. Wu*, "A Robust PAST-based ESPRIT Algorithm with Variable Forgetting Factor and Regularization for Frequencies/Harmonics Estimation in Impulsive Noise," IEEE Transactions on Instrumentation and Measurement, vol. 71, pp. 1-13, May 2022. (SCIE, IF: 5.332, JCR Q1 (Instrumentation) 9/63)
• J. Q. Lin, H. C. Wu* and S. C. Chan, “A New Regularized Recursive Dynamic Factor Analysis with Variable Forgetting Factor and Subspace Dimension for Wireless Sensor Networks with Missing Data,” IEEE Transactions on Instrumentation and Measurement, vol. 70, DOI: 10.1109/TIM.2021.3083889, May 2021. (SCIE, IF: 5.332, JCR Q1 (Instrumentation) 9/63)
• H. Chen, H. C. Wu*, S. C. Chan and W. H. Lam, “A stochastic quasi-Newton method for large-scale nonconvex optimization with applications,” IEEE Transactions on Neural Networks and Learning Systems, vol. 31, no. 11, pp. 4776 – 4790, Nov. 2020.(SCIE, IF: 14.255, JCR Q1 (Compt., AI) 14/145)
• C. H. Ho, H. C. Wu*, and S. C. Chan, “A Robust Statistical Approach to Distributed Power System State Estimation with Bad Data,” IEEE Transactions on Smart Grid, vol. 11, no. 1, pp. 517 – 527, Jan. 2020. (SCIE, IF: 10.275, JCR Q1 (EEE) 18/275)
• S. C. Chan, H. C. Wu*, C. H. Ho and L. Zhang, “An Augmented Lagrangian Approach for Distributed Robust Estimation in Large-scale Systems,” IEEE Systems Journal, vol. 13, no. 3, pp. 2986 – 2997, Sept. 2019.(SCIE, IF: 4.802, JCR Q2 (CS) 61/158)
• L. Zhang, H. C. Wu*, C. H. Ho and S. C. Chan, “A multi-laplacian prior and augmented lagrangian approach to the exploratory analysis of time-varying gene and transcriptional regulatory networks for gene microarray data,” IEEE/ACM Transactions on Computational Biology and Bioinformatics, April 2018.(SCIE, IF: 4.5, JCR Q1 (Biochem research method) 16/77)
• H. C. Wu*, X. G. Wei and S. C. Chan, “Novel Consensus Gene Selection Criteria for Distributed GPU Partial Least Squares-based Gene Microarray Analysis in Diffused Large B Cell Lymphoma (DLBCL) and related findings,” IEEE/ACM Transactions on Computational Biology and Bioinformatics, Oct. 9, 2017. (SCIE, IF: 4.5, JCR Q1 (Biochem research method) 16/77)
• S. C. Chan, Z. Li, H. C. Wu* and K. M. Tsui, "A Maximum A Posteriori Probability and Time-Varying Approach for Inferring Gene Regulatory Networks from Time Course Gene Microarray Data," IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 12, no. 1, pp. 123-135, Feb. 2015. (SCIE, IF: 4.5, JCR Q1 (Biochem research method) 16/77)
• S. C. Chan, Z. Li, H. C. Wu* and K. M. Tsui, "A Maximum A Posteriori Probability and Time-Varying Approach for Inferring Gene Regulatory Networks from Time Course Gene Microarray Data," IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 12, no. 1, pp. 123-135, Feb. 2015. (Citation:22; Impact Factor: 3.217; Ranking: 36/510, Q1 in Applied Mathematics; 67/275, Q1 in Biotechnology)
• J. F Wu, A.M.S. Ang, K. M. Tsui, H. C. Wu*, Y. S. Hung, Y. Hu, J. N. F. Mak, S.C. Chan, “Efficient Implementation and Design of A New Single-Channel Electrooculography-based Human-Machine Interface System,” IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 62, no. 2, pp. 179-183, Feb. 2015. (Citation: 33; Impact Factor: 3.380; Ranking 143/670, Q1 in Electrical and Electronic Engineering)
• H. C. Wu*, S. C. Chan, K. M. Tsui and Y. Hou, “A New Recursive Dynamic Factor Analysis for Point and Interval Forecast of Electricity Price,” IEEE Transactions on Power System, vol. 28, no. 3, pp. 2352-2365, 2013. (Citation: 63; Impact Factor: 9.204; Ranking: 25/670, Q1 in Electrical and Electronic Engineering; 7/216, Q1 in Energy Engineering and Power Technology)
• S. C. Chan, K. M. Tsui, H. C. Wu*, Y. Hou, Y. C. Wu and F. F. Wu, “Load/Price Forecasting and Managing Demand Response for Smart Grids: Methodologies and Challenges,” IEEE Signal Processing Magazine, vol. 29, no. 5, pp. 68-85, 2012. (Citation: 199, Impact Factor: 11.289; Ranking 4/103,Q1 in Signal Processing; 6/510, Q1 in Applied Mathematics, 21/670; Q1 in Electrical and Electronic Engineering)
• S. C. Chan, H. C. Wu* and K. M. Tsui, "Robust Recursive Eigen-decomposition and Subspace-based Algorithms with Application to Fault Detection in Wireless Sensor Networks,” IEEE Transactions on Instrumentation and Measurement, vol. 61, no. 6, pp. 1703-1718, 2012. (Citation: 44, Impact Factor: 4.470; Ranking 7/129, Q1 in Instrumentation)
• S. C. Chan, H. C. Wu* and K. M. Tsui, “A New Method for Preliminary Identification of Gene Regulatory Networks from Gene Microarray Cancer Data Using Ridge Partial Least Squares With Recursive Feature Elimination and Novel Brier and Occurrence Probability Measures,” IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans, vol. 42, no. 6, pp. 1514-1528, 2012. (Citation: 14; Impact Factor: 10.914 ; Ranking: 5/636 ,Q1 in Computer Science Application; 2/242, Q1 in Control and Systems Engineering; 9/670, Q1 in Electrical and Electronic Engineering; 3/108, Q1 in Human-Computer Interfaces)

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Modified Date: 04 Jan, 2024
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