Asst Prof Matthew Chua - Department of Biomedical Informatics

CHUA, Matthew

Department of Biomedical Informatics

Assistant Professor

Personal Website

Brief Introduction Journals & Publications

Brief Introduction

Asst Prof. Matthew Chua is an Assistant Director of Data Science at the Ministry of Defence of Singapore and an Assistant Professor at NUS School of Medicine. At MINDEF, he leads a team of data scientists and partners with IT and Engineering teams to work closely with MINDEF/SAF stakeholders and external agencies to use data science to improve policy outcomes, service delivery and operational efficiency. As a technology leader, he spearheads and operationalize novel and state-of-the-art technologies and algorithms in the organization to transform MINDEF/SAF into a data-first organization. He has also won data science competitions at the national level, clinching 3rd place for the Data VIZard at the Data Arcade Tournament 2022. At NUS, he drives the research and lectures on Artificial Intelligence and Novel Technologies for the advancement of Medicine/Health. He has won prestigious research grants, amounting to more than S$1 million, from Ministry of Health, SG Enable, HealthTEC and internationally. He has also published more than 30 papers in prestigious peer-reviewed international journals and is widely cited. His wide array of expertise makes him a highly sought after collaborator from various industries. He actively fosters closer ties between MINDEF and NUS through education, research and collaboration.

On the side, he is a professional opera singer, being sought after for many local events and celebrations, including The SG50 Concert at the Park, Lee Kuan Yew Memorial Concert, TTSH Gala dinner and many others. He was also the 2nd place winner for The Rising Star Season 3 Competition 2019.

Education:

2020 - Certified Specialist Adult Educator (Institute of Adult Learning)

2019 - Certified Project Management Professional (Project Management Institute)

2018 - Certified Scrum Master (Scrum Alliance)

2015 - Doctor of Philosophy (National University of Singapore)

2014 - Graduate Certificate in Management of Technology (National University of Singapore)

2012 - Bachelor of Mechanical Engineering with Honors (National University of Singapore)

Research Interests:

Artificial Intelligence, Data Science, Medical Systems, Medical Informatics, Robotics Systems

Research Grant Awards:

2022 - NUHS Family Medicine/Primary Care/Health Service Research Grant (Co-I): Effect of Singapore-contextualized Dance-based Exergame (SinDance) in promoting Physical function and reducing depressive symptoms and falls among community-dwelling older adults

2021 - MINDEF Research Funding (Co-I): Project BREMO

2020 - HealthTEC Grant (PI): CygniSENSE - A hand assessment and rehabilitation system with Intel RealSense

2020 - NMRC Health Service Research Grant (Co-I): An Integrative Cardiac Rehabilitation Employing Smartphone Technology (i-CREST) for patients with Post-myocardial infarction: A randomized controlled trial

2019 - Singapore Cancer Society Cancer Research Grant (Co-I): The effectiveness of an interactive Colorectal Cancer self-Management enhancement smartphone-based psycho-social intervention programme (iCanManage) on outcomes of patients with colorectal cancer and their family caregivers: A randomized controlled trial

2018 - Tote Board SG Enabling Lives Initiatives Grant (PI): Development of an m-Health Rehabilitation System for Stroke Patient Recovery

2018 - Hong Kong Polytechnic University Research Grant (Co-I): Feasibility of self-administered auricular acupressure integrated with mobile device reminders for weight reduction

2017 - NMRC/NIC Enabling Innovation Grant (PI): Intelligent Gait (iGait) Assistive Device for Elderly Patients with Parkinson Disease

Media Coverage:

2021

Smart Health Screening Station. ISS Presents. https://www.youtube.com/watch?v=yIU-2FF_WR4

mHealth Intelligent Hand Rehabilitation System for Stroke Survivors. ISS Presents. https://www.youtube.com/watch?v=mCHoJ_GoLZc

Autonomous Driving Turtlebot System. ISS Presents. https://www.youtube.com/watch?v=-SL5Ce2qJDA

Leaving behind trays, food debris at hawker centres could expose others to diseases: Health experts. Channel News Asia (5 Feb 2021) https://www.channelnewsasia.com/singapore/leaving-behind-trays-food-hawker-centres-expose-germs-pests-321551
Food Trays Part 1: Why can't we get it right? Talking Point (21 Jan 2021) https://www.youtube.com/watch?v=vPEL_-VSoWs

2019

Opening of Stroke Support Station, Jurong Point. Channel News Asia (28 May 2019) https://www.youtube.com/watch?v=ogI6IRPEXFU
Second rehab centre for stroke patients promises larger capacity, shorter waiting times and new programmes. The Straits Times (30 May 2019) https://www.straitstimes.com/singapore/health/stroke-patients-boosted-by-opening-of-second-rehab-centre

2018

Socks give seniors an impulse to get walking. The Straits Times (27 May 2018) https://www.iss.nus.edu.sg/community/newsroom/news-detail/2018/05/28/socks-give-seniors-an-impluse-to-get-walking

Challenge Tomorrow: Ep 4: New Frontiers in Healthcare. Channel News Asia (21 Mar 2018) https://www.youtube.com/watch?v=ZbrFH2m0tgA

Journals & Publications

Yuan Q, Chen K, Yu Y, Le NQL & Chua M (2022). Prediction of Anticancer Peptides Based on an Ensemble Model of Deep Learning and Machine Learning Using Ordinal Positional Encoding. Briefings in BBioinformatics. doi: 10.1093/bib/bbac630
Zheng Z, Le NQK & Chua M (2022). MaskDNA-PGD: an innovative deep learning model for detecting DNA methylation by integrating mask sequences and adversarial PGD training as a data augmentation method. Chemometrics and Intelligent Laboratory Systems. doi: 10.1016/j.chemolab.2022.104715
Zhao Z, Gui J, Le NQK & Chua M (2022). Improved Prediction Model of Protein and Peptide Toxicity by Integrating Channel Attention into a Convolutional Neural Network and Gated Recurrent Units. ACS Omega. doi: 10.1021/acsomega.2c05881
Loh LKY, Kueh HK, Parikh NJ, Chan H, Ho NJH & Chua M (2022). An Ensembling Architecture Incorporating Machine Learning Models and Genetic Algorithm Optimization for Forex Trading. MDPI FinTech. doi: 10.3390/fintech1020008
Nguyen QH, Nguyen BP, Nguyen MT, Chua M, Do TT & Nghiem N (2022). Bone Age Assessment and Sex Determination using Transfer Learning. Expert Systems with Applications. doi: 10.1016/j.eswa.2022.116926
Chua M (2022). From the Editor-in-Chief of RIMA. Research on Intelligent Manufacturing and Assembly. doi: 25082/RIMA.2022.01.001
Dong YH, Yeo MC, Tham XC, Danuaji R, Nguyen TH, Sharma AK, Komalkumar, Meenakshi RV, Tai MLS, Ahmad A, Tan BYQ, Ho RC, Chua M & Vijay KS (2022). Investigating Psychological Differences Between Nurses and Other Health Care Workers From the Asia-Pacific Region During the Early Phase of COVID-19: Machine Learning Approach. JMIR Nursing. doi: 10.2196/32647
Wong XY, Ang YK, Li K, Chin YH, Lam SSW, Tan KBK, Chua M, Ong MEH, Liu N, Pourghaderi AR & Ho AFW (2021). Development and validation of the SARICA Score to predict Survival After Return of spontaneous circulation in out of hospital Cardiac Arrest using an interpretable machine learning framework. Resuscitation. doi: 10.1016/j.resuscitation.2021.11.029
Wan SW, Chong CS, Toh EL, Lim SH, Loi TT, Lew YFH, Chua M, Jee XP, Liu GY, Zhu L, Pikkarainen M & He H (2021). Co-creating a patient-centric digital solution to enhance perioperative health outcomes among colorectal cancer patients and their family caregivers: a theory-based, international, multidisciplinary approach. Journal of Medical Internet Research. doi: 10.2196/31917
Tng SS, Le NQK, Yeh HY & Chua M (2021). An Improved Prediction Model of Protein Lysine Crotonylation Sites Using Bidirectional Recurrent Neural Networks. Journal of Proteome Research. doi: 10.1021/acs.jproteome.1c00848
Siah CJR, Lau ST, Tng SS & Chua M (2021). Using Infrared Imaging and Deep Learning in Fit-Checking of Respiratory Protective Devices Among Healthcare Professionals. Journal of Nursing Scholarship. doi: 10.1111/jnu.12736
Nguyen-Vo TH, Trinh Q, Nguyen L, Do T, Chua M & Nguyen BP (2021). Predicting Anti-malarial Activity in Natural Products using Pre-trained Bi-directional Encoder Representations from Transformer. Journal of Chemical Information and Modeling. doi: 10.1021/acs.jcim.1c00584
Chia AHT, Khoo MS, Lim AZ, Ong KE, Sun Y, Nguyen BP, Chua M & Pang J (2021). Explainable machine learning prediction of ICU mortality. Informatics in Medicine Unlocked. doi: 10.1016/j.imu.2021.100674
Ng MY, Chng CB, Koh WK, Chui CK & Chua M (2021). An Enhanced Self-Attention and A2J Approach for 3D Hand Pose Estimation. Multimedia Tools and Applications. doi: 10.1007/s11042-021-11020-w
Leow EKW, Nguyen BP & Chua M (2021). Robo-Advisor using Genetic Algorithm and BERT Sentiments from Tweets for Hybrid Portfolio Optimisation. Expert Systems with Applications. doi: 10.1016/j.eswa.2021.115060
Goh CWK, Ng BCR, Wong YK, Ho JHN & Chua M (2021). Aerial Filming with Synchronized Drones using Reinforcement Learning. Multimedia Tools and Applications. doi: 10.1007/s11042-020-10388-5
Wong PM, Ho N, Koh DK, Chua M & Chui CK (2020). CPS-based Manufacturing Workcell for the Production of Hybrid Medical Devices. Journal of Ambient Intelligence and Humanized Computing. doi: 10.1007/s11042-020-10388-5
Sua JN, Lim SY, Yulius MH, Su X, Yap E, Yeh HY & Chua M (2020). Incorporating Convolutional Neural Networks and Sequence Graph Transform for Identifying Multilabel Protein Lysine PTM Sites. Chemometrics and Intelligent Laboratory Systems. doi: 10.1016/j.chemolab.2020.104171
Yin JH, Chng CB, Wong PM, Ho N, Chua M & Chui CK (2020). VR and AR in Human Performance Research – An NUS Experience. Virtual Reality & Intelligent Hardware. doi: 10.1016/j.vrih.2020.07.009
Liao JJ, Luo JJ, Yang T, So R & Chua M (2020). Effects of Local and Global Spatial Patterns in EEG Motor-Imagery Classification using Convolutional Neural Network. Brain-Computer Interfaces. doi: 10.1080/2326263X.2020.1801112
Deb S, Ou-Yang Y, Chua M & Tian J (2020). Gait identification using a new time-warped similarity metric based on smartphone inertial signals. Journal of Ambient Intelligence and Humanized Computing. doi: 10.1007/s12652-019-01659-7
Le NQ, Yapp E, Nagasundaram N, Chua M & Yeh HY (2019). Computational identification of vesicular transport proteins from sequences using deep gated recurrent units architecture. Computational and Structural Biotechnology Journal. doi: 10.1016/j.csbj.2019.09.005
Tan HX, Aung NN, Tian J, Chua M & Ou-Yang Y (2019). Time series classification using a modified LSTM approach from accelerometer-based data: A comparative study for gait cycle detection. Gait & Posture. doi: 10.1016/j.gaitpost.2019.09.007
Zhao Z, Zhu H, Xue Z, Liu Z, Tian J, Chua M & Liu M (2019). An Image-text Consistency Driven Multimodal Sentiment Analysis Approach for Social Media. Information Processing & Management. doi: 10.1016/j.ipm.2019.102097
Tan KK, Khanh N, Yeh HY & Chua M (2019). Ensemble of Deep Recurrent Neural Networks for Identifying Enhancers via Dinucleotide Physiochemical Properties. Cells. doi: 10.3390/cells8070767
Suen L, Wang W, Cheng K, Chua M, Yeung J, Koh WK, Yeung S & Ho J (2019). Self-Administered Auricular Acupressure Integrated With a Smartphone App for Weight Reduction: Randomized Feasibility Trial. JMIR MHealth And UHealth. doi: 10.2196/14386
Sowndarya S, Tian J & Chua M (2018). Action Recognition Using Multidirectional Projected Depth Motion Maps. Journal of Ambient Intelligence and Humanized Computing. doi: 10.1007/s12652-018-1136-1
Ho N, Wong PM, Chua M & Chui CK (2018). Virtual Reality Training for Assembly of Hybrid Medical Devices. Multimedia Tools and Application. doi: 10.1007/s11042-018-6216-x
Li R, Tian J & Chua M (2018). Facial expression classification using salient pattern driven integrated geometric and textual features. Multimedia Tools and Application. doi: 10.1007/s11042-018-6133-z

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