PEI HUA CHER (徐珮华)


RESEARCH INTEREST
  • Applied Research Techniques in Real-World Applications
  • Deep, Machine Learning & Analytical Techniques in 
    • Image Recognition
    • Sentiment Analysis
    • Social Media Mining
    • Social Network Analysis 
  • Human Gait Analysis using 
    • Inertial Sensors 
  • Chatbots to collect Feedback

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., 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
  • 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

  • Technical Support Officer 
    Computer-based Learning Centre, Ngee Ann Polytechnic

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, Java, C++, Matlab, OpenGL, Java Server Pages (JSP), XML, HTML, DHTML, JavaScript, CSS, C  


RESEARCH TOOLS

  • Tensorflow Docker running on DGX1 NVIDIA GPU

  • Keras with tensorflow and scikit-learn using Jupyter Notebook to develop Machine Learning and Deep Learning proof of concepts

  • Chart7 used with PowerLab and other lab devices to track physiological measures

  • Competent in Matlab signals processing and Neural Network toolkit

  • Integrate and automate Stroop cognitive tests using DirectRT

  • Used Opal IMU, XSENS MTx inertial sensors and MT Manager to collect and analyse human gait data

  • 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: 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.

Cher Pei Hua


cherph@comp.nus.edu.sg