Dr CHU Chun Fai, Carlin (朱振輝博士)
BEng, MPhil, PhD (CUHK)
CStat, MIEEE, Fellow (HKCIE)

Assistant Professor
Department of Computing
Associate Programme Director of MSC-DSAI

Tel : (852) 3963 5783
Dr Chu is an Assistant Professor in the Department of Computing at the Hang Seng University of Hong Kong (HSUHK). He received his PhD, MPhil and BEng degrees from the Chinese University of Hong Kong. He is also a SAS Certified Predictive Modeler, Chartered Statistician (CStat), Oracle Certified Professional and Sun Certified Programmer. Dr Chu is a researcher and practitioner in the area of Machine learning. He was a senior AI manager specializing in the applications of deep neural network models for business process re-engineering projects prior to joining the HSUHK. Moreover, he has worked in the tertiary education teaching data analytics subjects after obtaining his PhD degree.

Research InterestsSelected PublicationsSelected Professional ServicesResearch GrantSelected Awards
TopResearch Interests
Machine Learning, Statistical Computing, Data Mining, Time series modelling, Operations Research
TopSelected Publications
  • Kevin Hung, Ho-Yuen Cheung, Nathan Wan, Eva Lee, Chi-Nang Lai, Kun Pan, Rongle Liang, Carlin Chu, Sheung-On Choy, Douglas Ng and Daniel H.K. Chow, “Design, Development, and Evaluation of Upper and Lower Limb Orthoses with Intelligent Control for Rehabilitation”, IET Science, Measurement & Technology, Vol. 15, Iss. 9, pp. 738-748, Nov 2021.
  • Carlin CF Chu, Simon SW Li, Indy MK Ho, FH Tang and Douglas KS Ng, “Statistical conformity index for improving the evaluation of Intensity-Modulated Radiation Therapy (IMRT) plan for neck and head cancer”, Royal Statistical Society (RSS) Conference 2021, 6-9 Sep 2021, Manchester and Online.
  • Carlin CF Chu and PK Chan. “Feature selection using approximated high-order interaction components of the Shapley value for boosted tree classifier”, IEEE Access, Vol. 8: 112742-112750 (2020).
  • Simon SW Li, Carlin CF Chu and Daniel HK Chow. “EMG-based lumbosacral joint compression force prediction using a support vector machine”, Medical Engineering and Physics, Vol. 74: 115–120 (2019).
  • TH Cheng, KL Li, CL Wong, SY Lau, CL Ng and Carlin CF Chu. “Identification of pairs trading opportunities using copula-based conditional probabilities and machine learning models”, 3rd Int Conf on Econometrics and Statistics (EcoSta2019), 25-27 June (2019).
  • Carlin CF Chu and PK Chan. “Decomposition of high frequency Forex signals for Copula based pairs trading strategy with Support Vector Regression”, 12th Int Conf on Computational and Financial Econometrics, 14-16 Dec (2018).
  • Carlin CF Chu and PK Chan. “Mining profitable high frequency pairs trading Forex signal using copula and deep neural network”, 19th IEEE/ACIS Int Conf on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD), 27-29 Jun (2018).
  • Carlin CF Chu, SC Yuen and YK Wong. “Deep neural network for marine water quality classification with the consideration of coastal current circulation effect”, IEEE Int Conf on Intelligent Sustainable Systems (ICISS), 7-8 Dec (2017).
  • Carlin CF Chu and SC Yuen, “Prediction of Chlorophyll-a concentration using Artificial Neural Network and Long Short-Term Memory network”, Int Conf on Engineering and Applied Sciences, 4-6 Jul (2017).
  • Carlin CF Chu. “On deep machine learning & time series models: A case study with the use of Keras”, 1st Intl Conf on Econometrics and Statistics (EcoSta2017), 15-17 Jun (2017).
  • Carlin CF Chu. “Does information from cross-listed markets help modeling stock volatility? An empirical study on companies listed on Hong Kong, Shanghai and NYSE”, Quantitative Methods in Finance (QMF) Conf, Sydney 15-18 Dec (2015).
  • James Caldwell, Carlin Chu and Douglas Ng. “Numerical Solution of Stefan Problems by Variable Space Grid Method”, 8th Int Congress on Industrial & Applied Mathematics, Beijing10-14 Aug (2015).
TopSelected Professional Services
  • Reviewer for several international journals including IEEE Access, Applied Economics, Econometrics and Statistics, and Journal of International Financial Markets, Institutions & Money, etc. Technical committee members for 10+ international conferences.
  • Invited speaker, “Big Data and Machine Learning Models in Quantitative Finance”, 17th Asia-Pacific Conference on Global Business, Economics, Finance & Social Sciences, 19-20 Jan 2018.
  • Invited speaker, “Emerging Trends and Models in Quantitative Finance”, 10th Asia-Pacific Conference on Global Business, Economics, Finance and Social Sciences, 20-22 Jan 2017.
TopResearch Grant
  • PI, “Investigation and Evaluation of the Effectiveness of Artificial Intelligence Models in Financial Investment Portfolio Selection Models”, Research Grant Committee, Research Matching Grant Scheme, Jun 2021 - May 2024
  • Co-I, “Improved Indoor Air Quality (IAQ) management through Scientific IAQ monitoring and App Survey with an indication of energy demand reduction”, Research Grant Committee, Project No: UGC/FDS16/P01/20, Sep 2020 - Aug 2022
  • Co-I, “New Development of Rapid and Easy Authentication Method of Single Drug Concentrated Chinese Medicine Granules using Fourier-Transform Infrared Spectroscopy (FTIR) coupled with Chemometrics”, Research Grant Committee, Project No: UGC/FDS16/M08/20, Sep 2020 - Aug 2022
  • Co-I, “Recent Developments in Business Analytics and New Research Directions”, Research Grant Committee, Project No: UGC/IIDS14/P01/17, Sep 2017 - Aug 2018
  • PI, “Investigation of Algal Bloom Prediction Models on Hong Kong Marine Zones Using Unevenly-spaced Data”, Katie Shu Sui Pui Charitable Trust Research and Publication Fund, Project No: KS2016/2.1, Sep 2017 - Aug 2019
  • Co-I, “Development of an Exergaming System with Haptic Feedback for the Investigation of Energy Expenditure and Muscle Activities during Sports Training”, Research Grant Committee, Project No: UGC/FDS16/M02/14, Sep 2016 - Dec 2018
  • Co-I, “Development of an Android-based Smart-Tablet-Aided Diagnosis / Evaluation Programme for Intensity-Modulated Radiotherapy Treatment Planning”, OUHK research and development grant, Project No: 2015/1.12, Feb 2016 - Sep 2017
TopSelected Awards
  • Outstanding supervisor award, CUMCM contest, 2017
  • Outstanding supervisor award, IBM Programming contest, 2012
  • The most student-caring teacher award, 2003