PEI HUA CHER (徐珮华)

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 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.

RESEARCH INTEREST

• • Applied Research Techniques in Real-World Applications

    • • Curriculum Analysis and Mapping

      • 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

EDUCATION

• • 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 

PUBLICATIONS

• • 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.

SCHOLARSHIP

• • 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

EXPERIENCE

• 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

TALKS & WORKSHOPS

• • 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 Workshop "Deep Learning in Data Science" at NUS (2017)

  • Instructor for Workshop "Introduction to R Statistics" at National Institute of Education (2014)

PROFESSIONAL DEVELOPMENT

• • Deep Learning Specialisation, Coursera

  • Machine Learning, Coursera

  • Certificate in Teaching & Learning (HigherEducation) 

PROGRAMMING LANGUAGES

• • Python, R, Java, C++, Matlab, OpenGL, XML, HTML, DHTML, JavaScript, CSS, C  

RESEARCH TOOLS

• 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

SOFTWARE APPLICATION TECHNOLOGIES

• • 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

HOBBIES

• • 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.