Staff Profile

Biography

Dr. Andrew H.C Wu is a Lecturer in the School of Science and Technology at the Hong Kong Metropolitan University. Before joining HKMU, Dr. Wu had been an Honorary Lecturer at the University of Hong Kong, a Part-time Lecturer at the HKU School of Professional and Continuing Education and Visiting Lecturer at the PolyU Hong Kong Community College. Dr. Wu received his B. Eng. in Electrical Engineering from the University of New South Wales, Australia, M. Sc. and Ph. D. in Electrical and Electronic Engineering from the University of Hong Kong. His research interests are Big Data Analytics, Pattern recognition, Bioinformatics, Biomedical signal processing, Time Series Analysis and Smart grid.

Teaching Areas & Research Interests

• Big Data Analytics
• Pattern recognition
• Bioinformatics
• Biomedical Signal Processing
• Time Series Analysis
• Smart Grid
• Game Programming

Academic & Professional Experience

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$1,481,764 (2022-2024)
• PI, A study of deep learning approaches for sleep related diagnosis, HKMU, HK$ 149,750 (2023-2024).

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

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

Selected Publications

Journal Articles

• Wenbo Qi, H. C. Wu* and S. C. Chan, "MDF-Net: A Multi-scale Dynamic Fusion Network for Breast Tumor Segmentation of Ultrasound Images," IEEE Transaction on Image Processing, vol. 32, pp. 4842-4855, Aug. 2023. (SCIE, IF:10.6, JCR Q1 (Computer Science, Artificial Intelligence) 13/145)
• 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, vol. 16, no. 6, pp. 1816-1829, Nov-Dec 2019. (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, vol. 15, no. 6, pp. 2039-2052, Nov-Dec 2018. (SCIE, IF: 4.5, JCR Q1 (Biochem research method) 16/77)
• X. G. Wei, Y. J. Zhou, S. C. Chan and H. C. Wu*, “Automatic Extraction of Central Tendon of Rectus Femoris (CT-RF) in Sonography Using a New Intensity Compensated Free-Form Deformation-Based Tracking Algorithm With Local Shape Refinement,” IEEE Journal of Biomedical and Health Informatics., vol. 21, no. 4, pp.1058-1068, July 2017. (SCIE, IF: 7.021, JCR Q1 (CS) 17/158)
• 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)
• 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. (SCIE, IF: 3.691, JCR Q2 (EEE) 84/275)
• 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. (SCIE, IF: 7.326, JCR Q1 (EEE) 44/275)
• 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. (SCIE, IF: 15.204, JCR Q1 (EEE) 5/275)
• 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. (SCIE, IF: 5.332, JCR Q1 (Instrumentation) 9/63)
• 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.

Selected Professional & Community Services

• Organising Committee Member (Local Arrangement) - IEEE Region 10 Conference 2022 (November, 2022)

Further Information

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Link to Google Scholar page

Modified Date: 04 Jan, 2024
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