• The University of Western Australia (M017), 35 Stirling Highway,

    6009 Perth


Calculated based on number of publications stored in Pure and citations from Scopus

Personal profile


Lillian (Chunliang) Wu is a Lecturer in the School of Engineering at The University of Western Australia. Prior to this role, she served as a Postdoctoral Researcher at the Korea Advanced Institute of Science and Technology (KAIST) and Kongju National University in South Korea. She earned her Ph.D. from the Department of Civil Engineering at Monash University in Australia.


Research interests

Her current research interests include intelligent transport systems, sustainable transport, transport modelling, urban planning, urban mobility, and urban big data analytics. Specifically, she focuses on leveraging AI techniques to develop efficient, robust, and scalable transport systems for the future mobility. Additionally, she excels in utilizing spatial analysis methods and big data analytics to explore the interrelationship between the built environment and transportation and human mobility. Her research contributions have been acknowledged by many leading journals, and she was invited to present her work at various research institutions and international conferences, including KTH and the University of Seoul.

Research opportunities

Prospective students with a multidisciplinary background, particularly in Automotive Engineering, Electronic Engineering, Automation, Mechanical Engineering, Civil Engineering, and related fields, who have an interest in intelligent transport systems, learning-based control, machine learning, and traffic modelling and simulation, are welcome to apply for UWA PhD programs. Please reach out to her at lillian.wu@uwa.edu.au with your CV, transcripts, and a brief cover letter.


Beyond her research pursuits, Lillian serves as a reviewer for more than ten academic journals and was honored as an outstanding reviewer for Multimodal Transportation in 2024. She also actively participates as a young academic committee member for World Transport Convention. As a member of Women in STEM, she is passionate about encouraging young women to pursue careers in STEM fields, advocating for inclusivity and diversity within the community.

Teaching overview

CIVL 4430 Transportation and Pavement Engineering (2024)

Previous positions

Postdoctoral Researcher, Korea Advanced Institute of Science and Technology (Jan 2023-Jul 2023)

Researcher, Kongju National University (Oct 2022-Dec 2022)

Visiting Doctoral Researcher, Kongju National University (Apr 2022-Sept 2022)

Teaching Assistant, Monash University (Mar 2020-Oct 2021)

Research Assistant, Xi'an Jiaotong-Liverpool University (Mar 2018-May 2018)

Research Assistant, Southeast University (Jul 2017-Feb 2018)

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 9 - Industry, Innovation, and Infrastructure
  • SDG 10 - Reduced Inequalities
  • SDG 11 - Sustainable Cities and Communities
  • SDG 12 - Responsible Consumption and Production

Education/Academic qualification

Transport Engineering, PhD, Monash University

Award Date: 21 Jul 2022

Research expertise keywords

  • Sustainable and active transport
  • Intelligent transport systems
  • Transport and land-use planning
  • Transport simulation
  • Transport modelling
  • GIS and spatial analysis
  • Artificial intelligence applications in transport
  • Urban mobility
  • Big data analytics
  • Agent-based modelling
  • Decision Making
  • Travel behaviour


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