Wai Peng Wong

Assoc Professor

Accepting PhD Students

PhD projects

Knowledge-based system: DEA (Data Envelopment Analysis) for Question Answering

20072024

Research activity per year

Personal profile

Biography

Wai-Peng received her Ph.D degree from the Department of Industrial and Systems Engineering, National University of Singapore in 2009. She is currently an Associate Professor at the School of Information Technology (SoIT), Monash University,  Malaysia.  She was the recipient of the highly prestigious   British Academy Newton Advanced Fellowship 2017.  She has led and completed various research projects funded by the Malaysia’s Ministry of Higher Education, Motorola Technology Pte Ltd and Japan Sumitomo Foundation. She also serves on the editorial boards of several international journals. 

Research interests

Research-in-progress includes feature selections for decision making in logistics supply chain using DEA and machine learning regression; the development of a diffusion innovation model for blockchain technology in agriculture supply chain. I am also keen on using machine learning and geospatial analytics in health epidemiology to predict occurrences of non-communicable diseases. 

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being
  • SDG 8 - Decent Work and Economic Growth
  • SDG 9 - Industry, Innovation, and Infrastructure
  • SDG 11 - Sustainable Cities and Communities
  • SDG 12 - Responsible Consumption and Production

Education/Academic qualification

Simulation Optimization, Ph.D, Monte Carlo DEA and budget allocation for data collection: An application to supply chain efficiency measurement, National University of Singapore

1 Sept 200531 Aug 2009

Award Date: 1 Sept 2009

Research area keywords

  • Machine learning
  • Human Centered AI
  • Supply Chain Risk Management

Collaborations and top research areas from the last five years

Recent external collaboration on country/territory level. Dive into details by clicking on the dots or