Dr CHER Pei Hua is an Assistant Professor at the Technology Enhance Learning and Innovation Department, Duke-NUS Medical School. She has over 6 years of software industry experience; over 12 years of software and AI projects research experience; and more than 8 years of experience as an educator. Her current research interest is in AI in Healthcare and Learning Analytics Systems, using computational methods in Natural Language Processing to enhance healthcare and medical education.
Applied Research Techniques in Real-World Applications
Curriculum Analysis and Mapping - using Natural Language Processing and Large Language Models
Mental Health Analysis
Deep, Machine Learning & Analytical Techniques in
Sentiment Analysis, Named Entity Recognition (Natural Language Processing)
Social Media Mining
Image Recognition (Computer Vision)
Social Network Analysis / Graph Theory / Knowledge Graph
Human Gait Analysis and Navigation using
Signal Processing using Inertial Sensors
GPS-IMU fusion using Kalman Filter
Chatbots to collect Feedback
Organisation Digitalisation Projects
Doctor of Philosophy (PhD) in Exercise Science, School of Exercise and Nutrition Sciences, Faculty of Health, Queensland University of Technology.
Thesis title: Running efficiency measures and their relationship with speed
Master Degree of Science (MSc) in Digital Media Technology, School of Computer Engineering, Nanyang Technological University
Bachelor Degree in Computer Engineering (BASc), School of Applied Science, Nanyang Technological University
Cher, P.H., Lee, J.W.Y., Bello, F. (2022). Machine Learning Techniques to Evaluate Lesson Objectives. In: Rodrigo, M.M., Matsuda, N., Cristea, A.I., Dimitrova, V. (eds) Artificial Intelligence in Education. AIED 2022. Lecture Notes in Computer Science, vol 13355. Springer, Cham. https://doi.org/10.1007/978-3-031-11644-5_16
Lo, S.L., Cher, P.H., Bello, F. (2022). Reflection as an Agile Course Evaluation Tool. In: Rodrigo, M.M., Matsuda, N., Cristea, A.I., Dimitrova, V. (eds) Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners’ and Doctoral Consortium. AIED 2022. Lecture Notes in Computer Science, vol 13356. Springer, Cham. https://doi.org/10.1007/978-3-031-11647-6_55
Cher P. H., Lee, J. W. Y., & Foo Y. Y. (2022, July 28). Enhanced learning through technology in medical education. Teaching Connections. https://blog.nus.edu.sg/teachingconnections/2022/07/27/enhanced-learning-through-technology-in-medical-education/
Cher, P. H., Stewart, I. B., & Worringham, C. J. (2015). Minimum cost of transport in human running is not ubiquitous. Medicine & Science in Sports & Exercise, 47(2), 307-314.
Gong, W., Lim, E., Zhu, F., & Cher, P. (2016). On Unravelling Opinions of Issue Specific-Silent Users in Social Media. In International AAAI Conference on Web and Social Media.
Cher, P. H., Worringham, C. J., & Stewart, I. B. (2017). Human runners exhibit a least variable gait speed. Journal of Sports Science, 35(22), 2211-2219.
Hoang, T., Cher, P. H., Prasetyo, P. K., & Lim, E. P. (2016). Crowdsensing and Analysing Micro-Event Tweets for Public Transportation Insights. In 2nd International workshop on Big Data for Sustainable Development with IEEE Big Data 2016.
Reviewer - International Journal of Artificial Intelligence in Education - ISSN: 1560-4306
Reviewer - Npj Digital Medicine - ISSN: 2398-6352
Reviewer - Journal of Sports Science (JSS) - ISSN: 2332-7839
Reviewer - Medicine & Science in Sports & Exercise (MSSE) - ISSN: 0195-9131
GMS6309 - Research and Critical Thinking - Introduction to AI and Data Science (MD Program, Duke-NUS Medical School)
GMS5314 - Learning Analytics and Student Performance (Technology Enhanced Learning Certificate, Duke-NUS Medical School)
EE3801 - Data Engineering Principles (College of Design and Engineering, NUS)
Centre of Excellence Scholarship, Queensland Academy of Sport
Faculty of Health Postgraduate Scholarship (HEALTH), Queensland University of Technology
HDR Tuition Fee Sponsorship, Queensland University of Technology
Adjunct Senior Lecturer/Assistant Professor (EE3801), College of Design and Engineering, National University of Singapore
Assistant Professor (AI in Healthcare & Learning Analytics), Duke-NUS Graduate Medical School, National University of Singapore
Assistant Director (Data Science), Data Science Department, Digital & Corporate Transformation Division, Ministry of Defence
Data Scientist, Singapore Data Science Consortium, anchored at School of Computing, National University of Singapore, Singapore
Postdoctoral Research Fellow, Living Research Analytics Centre (the centre is a joint initiative between Singapore Management University & Carnegie Mellon University), Singapore
Research Engineer, Living Research Analytics Centre / School of Information Technology, Singapore Management University, Singapore
Research Assistant, Institute of Health and Biomedical Innovation / School of Exercise and Nutrition Sciences, Faculty of Health, Queensland University of Technology, Brisbane (Australia)
Lecturer, School of Information Technology, Nanyang Polytechnic, Singapore
Consultant/ Systems Developer, Financial Services with Citibank, NCS (S) Pte Ltd
System Analyst, Office of Research/ Computer Centre, National University of Singapore
Software Engineer, Research and Development, Ecquaria Technologies Pte Ltd
Cher, P.H., OH, S. (2024). Using machine learning to identify causes of suicidal ideations in crisis messaging service. International Association for Suicide Prevention ASIA PACIFIC CONFERENCE (IASP 2024).
Cher, P.H., Wong, P.Y., Lee, I.C.J. (2023). Automatic speech recognition in medication education group discussions. International AI in Medicine (IAIM 2023).
Cher, P.H., Razak, H.R.B.S., Bello, F. (2023). Feature analysis to detect early signs of knee OA (OAI dataset). International AI in Medicine (IAIM 2023).
Cher, P.H., Teh, H.Y., Xu, S., Banu, F., Bello, F. (2022). Student Analytics Digitalization Journey. SingHealth Duke-NUS Education Conference (SDEC 2022).
Tang, P.H., Cher, P.H. (2022). Rediologist Performance on eTutor. S3 Conference 2022.
Cher, P.H., Lee, J.W.Y., Bello, F. (2021). Machine learning techniques to evaluate and map lesson objectives to a graudate medical school curriculum. SingHealth Duke-NUS Scientific Congress (SDC 2021).
Instructor & Course Coordinator for Industry Partner Workshop "Applications in Natural Language Processing" at NUS (2023)
Instructor & Course Coordinator for Industry Partner Workshop "Data Analytics - Gaining Insights" at NUS (2022)
Panelist for Panel Discussion “社交媒体对家庭的影响” - 家庭研讨会 - 圣公会新加坡教区(华文部)(2018)
Panelist for Panel Discussion “科技新平台与牧养” - 圣公会新加坡教区(华文部)(2018)
Instructor & Course Coordinator for Industry Partner Workshop "Deep Learning in Data Science" at NUS (2017)
Instructor for Workshop "Introduction to R Statistics" at National Institute of Education (2014)
Deep Learning Specialisation, Coursera
Machine Learning, Coursera
Certificate in Teaching & Learning (HigherEducation)
Python, R, Java, C++, Matlab, OpenGL, XML, HTML, DHTML, JavaScript, CSS, C
Machine & Deep learning: Natural Language Processing (LLM, LSTM, BERT, RNTN, Sentiment Analysis, Knowledge Graph, Named Entity Recognition), Image Recognition (CNN), Signal Processing.
Tensorflow Docker running on DGX1 NVIDIA GPU
Chart7 used with PowerLab and other lab devices to track physiological measures
Integrate and automate Stroop cognitive tests using DirectRT
Used Opal IMU, XSENS MTx inertial sensors and MT Manager to collect and analyse human gait
Designed outdoor track pacing using sound feedback
Confident in Matlab / Octave to process gait signals and derive gait parameters
Statistical Tools: Skilled in SPSS Statistical Software, Minitab and R statistics
Open Source technologies: Open Source Computer Vision, Apache Tomcat
Application frameworks: Flask, DASH (by plotly), NodeJS, PHP, JEE, J2EE, JSP
Integrated Development Environment: Jupyter Notebook, Eclipse, Netbeans, Sublime
Database Technologies: MySQL, Elasticsearch
Content Management System: Wordpress
Virtual Development Environments: Docker Containers, VirtualBox Machines
Likes to listen and play music, sports, running, experiment on Arduino systems, animations, stage acting, scuba diving and water sports. Keen to take up new challenges, explore and learn new things.