Chew XinYing, Ts. Dr.

  •  Chew 


  • Senior Lecturer

    Email : This email address is being protected from spambots. You need JavaScript enabled to view it.

    Tel : +604 653 2668
    Fax : +604 653 3335
    Room : 732

    School of Computer Sciences, Universiti Sains Malaysia, 11800 USM, Pulau Pinang

    Research Cluster

    Data To Knowledge



  • Research Interest

    Statistical Process/Quality Control, Control Charts, Robust Statistics, Data/Text Mining, Machine Learning, Deep Learning, Natural Language Processing, Artificial Intelligence, Operations Research.

    Specialization

    Industrial Computing, Statistical Quality Control, Advanced Analytics (Machine Learning & Deep Learning)


Qualifications

BIT. (Hons.), Universiti Kebangsaan Malaysia (UKM), Malaysia.
Ph.D., Universiti Sains Malaysia (USM), Malaysia. 

 

Interests

Statistical Process/Quality Control, Control Charts, Robust Statistics, Data/Text Mining, Machine Learning, Deep Learning, Natural Language Processing, Artificial Intelligence, Operations Research. 

 

Projects

Grant Name: USM Research University Grant (RUI)
Grant Amount: RM40,000
Role: Project Leader
Project Title: A New Adaptive Kernel-Distance-Based Control Chart by Machine Learning Techniques to Support Industry 4.0 Sustainable Smart Manufacturing.

Grant Name: USM Short Term Grant (Completed)
Grant Amount: RM27,200
Role: Project Leader
Project Title: Natural Language Processing and Machine Learning for Talent Acquisition: Strategic Planning, Execution and Career Development.
1/5/2018 - 30/4/2020

Grant Name: Fundamental Research Grant Scheme (FRGS)
Grant Amount: RM47,700
Role: Project Leader
Project Title: New Robust Adaptive Model for the Coefficient of Variation in Infinite and Finite Horizon Processes.
1/9/2019 - 31/8/2021

Grant Name: Digital Sarawak CoE (DSCoE) (Completed)
Grant Amount: RM130,000
Role: Project Leader
Project Title: A Proposed Variable Parameter (VP) Multivariate Coefficient of Variation (MCV) Chart Integrating Advanced Data Visualization Tools for Sustainable Smart Manufacturing.
1/9/2018 - 31/8/2020

Grant Name: RUI Khas (Completed)
Grant Amount: RM80,000
Role: Co-researcher
Project Title: A New Sensitive Nonparametric Generally Weighted Moving Average Control Chart Based on the Moving Sign Statistics.

Grant Name: USM Short Term Grant (Completed)
Grant Amount: RM26,000
Role: Co-researcher
Project Title: Monitoring the Coefficient of Variation in Short Production Run Processes Using a Variable Parameter Control Chart.

Grant Name: Fundamental Research Grant Scheme (FRGS)
Grant Amount: RM60,700
Role: Co-researcher
Project Title: A Maximum Likelihood Estimator Control Chart based on Two-Parameter Exponential Life Time Models with Unknown Parameters.

Grant Name: Fundamental Research Grant Scheme (FRGS)
Grant Amount: RM40,600
Role: Co-researcher
Project Title: A New Hybrid Model for Monitoring the Multivariate Coefficient of Variation in Healthcare Surveillance.

Grant Name: Fundamental Research Grant Scheme (FRGS)
Grant Amount: RM77,600
Role: Co-researcher
Project Title: Healthcare Sentiment Polarity Classification Using Distribution Pointwise Mutual Information and Sentiment Propagation.

Grant Name: Fundamental Research Grant Scheme (FRGS)
Grant Amount: RM45,600
Role: Co-researcher
Project Title: A new adaptive nonparametric DGWMA-MS statistical process monitoring scheme to support industry 4.0 sustainable smart manufacturing.

Grant Name: RUI
Grant Amount: RM61,000
Role: Co-researcher
Project Title: GROUP RUNS DOUBLE SAMPLING CONTROL CHART FOR SUSTAINABLE MANUFACTURING IN INDUSTRY 4.0.

Grant Name: Industrial Grant (ESTEK AUTOMATION SDN BHD)
Grant Amount: RM12,000
Role: Co-researcher
Project Title: IMAGE STITCHING ALGORITHM FOR MACHINE VISION INSPECTION.

Grant Name: COLLABORATIVE REEARCH IN ENGINEERING, SCIENCE AND TECHNOLOGY CENTER (CREST)
Grant Amount: RM206,500
Role: Co-researcher
Project Title: IMAGE DATA ANALYTICS FOR INDUSTRY 4.0.

Grant Name: Fundamental Research Grant Scheme (FRGS)
Grant Amount: RM126,860
Role: Co-researcher
Project Title: Understanding the Effect of Different Machine Learning Techniques on Classification of Blood Donor Behaviour and its Impact on Repeat Blood Donations.

Grant Name: Fundamental Research Grant Scheme (FRGS)
Grant Amount: RM67,700
Role: Co-researcher
Project Title: A Blockchain-based Collaborative Intrusion Detection Model for detecting ICMPv6-based DoS and DDoS attacks.

Grant Name: USM Short Term Grant
Grant Amount: RM22,000
Role: Co-researcher
Project Title: The Efficiency of Variable Sampling Interval Scheme for the Multivariate Coefficient of Variation in Short Production Runs.

 

Publications

Researcher ID : B-7391-2018
Scopus ID : 57209359890
ORCiD : 0000-0001-5539-1959
Google Scholar ID : https://scholar.google.com/citations?user=6GY4lm0AAAAJ&hl=en

2021

Tan, R. Z., Chew, X. Y. & Khaw, K. W. (2021). Neural Architecture Search for Lightweight Neural Network in Food Recognition. Mathematics, 9(11), 1245. DOI: https://doi.org/10.3390/math9111245

Chew, X. Y., Micheal, K. B. C., Khaw, K. W. & Lee, M. H. (2021). An improved Hotelling’s T2 chart for monitoring a finite horizon process based on run rules schemes: A Markov-chain approach. Applied Stochastic Models in Business and Industry, 37, 577-591. DOI: http://dx.doi.org/10.1002/asmb.2596

Teng, M. T., Teh, S. Y., Khaw, K. W., Chew, X. Y., & Yeong, W. C. (2021). Design of One-sided Modified S Control Charts for Monitoring a Finite Horizon Process. Reliability: Theory & Applications, 3(63), 16, 168-182. DOI: https://doi.org/10.24412/1932-2321-2021-363-168-182

Khaw, K. W., Chew, X. Y., Lee, M. H. & Yeong, W. C. (2021). An Optimal Adaptive Variable Sample Size Scheme for the Multivariate Coefficient of Variation – in-depth discussion. Statistics, Optimization & Information Computing, 9(3), 681–693. DOI: https://doi.org/10.19139/soic-2310-5070-996

Ng, P. S., Michael, B. C. Khoo, Yeong, W. C., Sajal, S. & Chew, X. Y. (2021). Economic and Economic-Statistical Designs of the Side Sensitive Group Runs Chart with Auxiliary Information. Quality and Reliability Engineering International, 37, 1965-1995. DOI: 10.1002/qre.2841

Khee, Y. K. S., Lee, M. H., Chew, X. Y., Lau, E. M. F., Kong, M., Then, P. H. H. & S. Rashid (2021). The Economic Design of the Double Sampling X-bar Chart with Measurement Errors. International Journal of Difference Equations, 15(2), 259-274.

Chew, X. Y. (2021). Evaluation of Variable Parameter MCV Control Chart in Downward Process Shifts. WSEAS Transactions on Systems and Control, 16, 479-485.

Khaw, K. W., Chew, X. Y., Lee, M. H., Yeong, W. C. & Sajal, S. (2021). One-sided 4-out-of-5 Run Rules Charts for the Multivariate Coefficient of Variation in the Finite Horizon Process. WSEAS Transactions on Mathematics, 20, 455-460.

Alhamzah, A., Khaw, K. W., Chew, X. Y. & Hasan, O. H. (2021). Medical Waste Aftermath COVID-19 Pandemic with Circular Economy Perception: An Intelligent Medical Waste Management Framework. The 23rd Malaysian Finance Association International Conference 2021 (MFAIC 2021), Universiti Sains Malaysia (USM), Malaysia.

Lee, M. H., Michael, K. B. C., Haq, A. & Chew, X. Y. (2021). Economic-Statistical Design of the Variable Sampling Interval Poisson EWMA Chart. Communications in Statistics – Simulation and Computation. DOI: https://doi.org/10.1080/03610918.2021.1898637

2020

Chew, X. Y., Khaw, K. W. & Yeong, W. C. (2020). The Efficiency of Run Rules Schemes for the Multivariate Coefficient of Variation: A Markov Chain Approach. Journal of Applied Statistics, 47(3), 460-480.

Tan, R. Z., Chew, X. Y. & Khaw, K. W. (2020). Quantized Deep Residual Convolutional Neural Network for Image-Based Dietary Assessment. IEEE Access, 8, 111875-111888. DOI: 10.1109/ACCESS.2020.3003518.

Chew, X. Y. & Khaw, K. W. (2020). One-sided Downward Control Chart for Monitoring the Multivariate Coefficient of Variation with VSSI Strategy. Journal of Mathematical and Fundamental Sciences, 52(1), 112-130. DOI: 10.5614/j.math.fund.sci.2020.52.1.8.

Lee, M. H., Michael, K. B. C., Chew, X. Y. & Then, P. H. H. (2020). Effect of Measurement Errors on the Performance of Coefficient of Variation Chart with Short Production Runs. IEEE Access, 8(1), 72216-72228. DOI: 10.1109/ACCESS.2020.2985410.

Satish, N. C. R. & Chew, X. Y. (2020). Classification and Feature Selection Approaches for Cardiotocography by Machine Learning Techniques. Journal of Telecommunication, Electronic and Computer Engineering, 12(1), 7-14.

Satish, N. C. R., Chew, X. Y. & Khaw, K. W. (2020). Hepatitis C Virus (HCV) Prediction by Machine Learning Techniques. Applications of Modelling and Simulation, 4, 89-100.

Lee, M. H., Michael, K. B. C., Chew, X. Y. & Then, P. H. H. (2020). Economic-statistical design of synthetic np chart with estimated process parameter. PLOS One, 15(4), 1-11.

Lee, M. H., Khee, Y. K. S., Then, P. H. H., Chew, X. Y. & Lau, E. M. F. (2020). Economic Design of A Synthetic Chart with Measurement Errors for Monitoring Process Mean. 2nd International Postgraduate Conference on Engineering Research 2020 (IPCER 2020), Langkawi, Malaysia.

Satish, N. C. R., Chew, X. Y. & Khaw, K. W. (2020). Polycystic Ovarian Syndrome (PCOS) Classification and Feature Selection by Machine Learning Techniques. International Journal of Applied Mathematics and Computational Intelligence, 9(1), 62-71.

Lee, M. H., Khee, Y. K. S., Then, P. H. H., Yakub, S., Chew, X. Y. & Lau, E. M. F. (2020). Run Length Distribution of Multivariate Coefficient of Variation Chart. 2nd International Postgraduate Conference on Engineering Research 2020 (IPCER 2020), Langkawi, Malaysia.

Esraa, F. M., Khaw, K. W & Chew, X. Y. (2020). Fraud Detection by Machine Learning Techniques. Industry 4.0 Regional Conference 2020 (I4RC20), UTM Kuala Lumpur, Malaysia.

Lee, M. H., Victor, Y. C. Lim., Then, P. H. H., Yakub, S., Chew, X. Y. & Lau, E. M. F. (2020). Design of the Synthetic Multivariate Coefficient of Variation Chart based on the Median Run Length. Advances in Mathematics: Scientific Journal, 9(9).

2019

Chew, X., Khoo, M.B.C., Khaw, K.W., Yeong, W.C., Chong, Z.L. A proposed variable parameter control chart for monitoring the multivariate coefficient of variation (2019) Quality and Reliability Engineering International, 35 (7), pp. 2442-2461. DOI: 10.1002/qre.2536

Lee, M.H., Si, K.S.K.Y., Chew, X., Lau, M.F., Then, P.H.H. The coefficient of variation chart based on median run length (2019) International Journal of Engineering and Advanced Technology, 8 (6 Special Issue 3), pp. 213-219. DOI: 10.35940/ijeat.F1035.0986S319

Khaw, K.W., Chew, X., Yeong, W.C., Lim, S.L. Optimal design of the synthetic control chart for monitoring the multivariate coefficient of variation (2019) Chemometrics and Intelligent Laboratory Systems, 186, pp. 33-40. DOI: 10.1016/j.chemolab.2019.02.001

Khaw, K.W., Chew, X.Y. A re-evaluation of the run rules control charts for monitoring the coefficient of variation (2019) Statistics, Optimization and Information Computing, 7 (4), pp. 716-730. DOI: 10.19139/soic-2310-5070-717

Chew, X., Khaw, K.W., Lee, M.H. The efficiency of run rules schemes for the multivariate coefficient of variation in short runs process (2019) Communications in Statistics: Simulation and Computation, , pp. -. DOI: 10.1080/03610918.2019.1704783

Lee, M.H., Khoo, M.B.C., Chew, X. Economic-statistical design of variable parameters s chart (2019) Quality Technology and Quantitative Management, , pp. -. DOI: 10.1080/16843703.2019.1699687

Quah, J.W., Ang, C.H., Divakar, R., Idrus, R., Abdullah, N.L., Chew, X. Timing-of-delivery prediction model to visualize delivery trends for pos laju malaysia by machine learning techniques (2019) Communications in Computer and Information Science, 937, pp. 85-95. DOI: 10.1007/978-981-13-3441-2_7

Khaw, K. W., Chew, X. Y., Teh, S. Y. & Yeong, W. C. (2019). Optimal variable sample size and sampling interval control chart for the process mean based on expected average time to signal. International Journal of Machine Learning and Computing, 9(6), 880-885.

Lee, M. H., Khee, Y. K. S., Chew, X. Y., Lau, E. M. F. & Then, P. H. H. (2019). The Effect of Measurement Errors on the Double Sampling X-Bar Chart. COMPUSOFT An International Journal of Advanced Computer Technology. 8(9), 3395-3401.

Satish, N. C. R., Song, S. N., Lim, Z. M. & Chew, X. Y. (2019). Classification and Feature Selection Approaches by Machine Learning Techniques: Heart Disease Prediction. International Journal of Innovative Computing, 9(1), 39-47.

Zhong, Z. L., Loo, X. Y., Michael Khoo, B. C., Khaw, K. W. & Chew, X. Y. (2019). Optimal Design of Modified Group Runs Scheme with Estimated Process Parameters Based on Expected Average Number of Sample. 2019 International Conference on Industrial Engineering & Engineering Management (IEEM 2019), Macau, Hong Kong.

Satish, N. C. R., Haziqah, S & Chew, X. Y. (2019). Classification and Feature Selection Approaches by Machine Learning Techniques: Hepatocellular Carcinoma (HCC) Prognosis Prediction. Amity Journal of Computational Sciences, 3(1), 12-16.

Chiew, S. C., Law, X. Y., Tan, R. Z., Chew, X. Y. & Khaw, K. W. (2019). Digital Recognition by Deep Learning Techniques: A Proposed Digit Recognizer to Automate Cheque Deposition. Amity Journal of Computational Sciences, 3(1), 17-27.

2018

Lim, S. L., Yeong, W. C., Michale Khoo, B. C. & Chew, X. Y. (2018). A comparison of the variable sampling interval (VSI) and variable sample size (VSS) coefficient of variation charts. Proceedings of the 4th World Congress on Mechanical, Chemical, and Material Engineering (MCM'18) Madrid, Spain.

2016

Chew, X.Y., Khoo, M.B.C., Teh, S.Y., Lee, M.H. The Run Sum Hotelling's χ2 Control Chart with Variable Sampling Intervals (2016) Quality and Reliability Engineering International, 32 (7), pp. 2573-2590. DOI: 10.1002/qre.1960

2015

Chew, X.Y., Khoo, M.B.C., Teh, S.Y., Castagliola, P. The variable sampling interval run sum X control chart (2015) Computers and Industrial Engineering, 90, pp. 25-38. DOI: 10.1016/j.cie.2015.08.015

 

Awards / Recongnitions

2020
Anugerah Perkhidmatan Cemerlang (APC) 2020, Pusat Pengajian Sains Komputer, USM

Best Paper Award, Fraud Detection by Machine Learning Techniques. Industry 4.0 Regional Conference 2020 (I4RC20), UTM Kuala Lumpur, Malaysia

Gold Medal, Alternative Assessment Made Easy for Consultancy Project and Practicum. International Putra InnoCreative Poster Competition 2020, UPM Kuala Lumpur, Malaysia

2019
Hadiah Sanjungan 2019

Silver Medal, Holistic Assessment: Consultancy Project and Practicum for Data Science and Analytics Programme. K-Novasi Pengajaran & Pembelajaran (Pendidik 4.0: Pereka Pengalaman Pembelajaran Bermakna) 2019, UKM Kuala Lumpur, Malaysia

2013
Hadiah Buku Universiti UKM Award, UKM

 

Supervision

PhD

Tan Ren Zhang

Olanrewaju Johnson

Lee Ye Hean

Sun Yao

Al Atiyat Musab Ahmad Abdel Rahman

Esraa Faisal Malik Gasim

Mohammad Tayyab

Aminu Maigari

Muhammad Ubale Kiru

Sani Abdullahi

 

MSc

Kama Sherab Si Khee Yong

Victor Lim Yong Cheng

Sam Yit Xiong (Graduated)

Lim Chin Siang (Graduated)

Loo Wei Chuan (Graduated)

Karimi Hamed

Zhang Chi

 

Teaching

CPC152 / CPM251 FOUNDATIONS AND PROGRAMMING FOR DATA ANALYTICS
CDS502 BIG DATA STORAGE AND MANAGEMENT
CDS506 RESEARCH,CONSULTANCY AND PROFESSIONAL SKILLS
CDS590 CONSULTANCY PROJECT & PRACTICUM 

 

Leadership / Membership

Professional Technologist (PT19100021), Malaysia Board of Technologists (MBOT)

Adjunct Research Fellow, Faculty of Engineering, Computing & Science, Swinburne University of Technology, Sarawak Campus, Malaysia. 1/9/2018 – 31-8-2022

HRDF Certified Trainer (ID: TTT/22949)

Data Science Associate, Dell EMC (EMCDSA)

International Statistical Institute (ISI) Regular Member, 2019 – ID: 16589

Scrum Alliance Community, 14/12/2016 – 14/12/2018

 

Consultancy

Instructor / Trainer for:

Introduction to Machine Learning & Deep Learning in Python; MDEC-Intel AI Academy Program (2nd – 4th July 2019 & 27th – 29th September 2019)

Enabling Business Intelligence with SAP; SAP Next-Gen Program (30th Nov 2019)

Data Science Certification Program - Keysight Technologies Malaysia Sdn Bhd (2019)

Application of AI/ Machine Learning; Omics Workshop; NEXUS Medical and Health Sciences, USM (15th August 2019)

Business Analytics & Data Visualization by Python & Power BI Desktop; Star@USM Program (26th – 27th February 2020)

AI/ Machine Learning by Python on Omics; Hands-On Workshop (21st November 2019)

Introduction to Machine Learning in Python - Sophic Automation Sdn. Bhd. (10th March 2020, 21th & 28th September 2020)

Data Science Certification Program - Keysight Technologies Malaysia Sdn Bhd (2021)

Professional Certification in Data Science - Kulim Advanced Technologies Sdn. Bhd. (KTechno) - 1st Cohort (2021)

Introduction to Machine Learning in Python - Universiti Sains Malaysia (6th April 2021 – 8th April 2021)

Business Analytics & Data Visualization by Python & Power BI Desktop; Star@USM Program (21st – 22nd April 2021)

Professional Certification in Data Science - Kulim Advanced Technologies Sdn. Bhd. (KTechno) - 2nd Cohort (2021)

Artificial Intelligent: Introduction to Machine Learning - Robert Bosch (Penang) Sdn. Bhd. (21st May 2021)

Professional Certification in Data Science - Kulim Advanced Technologies Sdn. Bhd. (KTechno) – 3rd Cohort (2021)

A Quick Introduction to Machine Learning (3rd September 2021) – School of Computer Sciences, USM

Data Driven Decision Making Workshop - Jabatan Perkhidmatan Awam (JPA) – 7th-9th September 2021

Project Manager / Project Leader for:

Advanced Data Analytics using Excel for Decision Making (7th August 2021)

Creating Dashboards with Microsoft Excel (27th October 2021)