Skip to main navigation Skip to search Skip to main content
  • The University of Western Australia (M017), 35 Stirling Highway,

    6009 Perth

    Australia

Accepting PhD and other Higher Degree by Research Students. View current PhD/HDR research project opportunities at https://researchdegrees.uwa.edu.au/projects

Personal profile

Biography

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

Research interests

Her research focuses on AI-driven urban mobility systems, integrating data-driven analytics, learning-based control, and spatial modelling to improve the efficiency, safety, and sustainability of transport systems. In particular, she specialises in spatial analysis and urban big data modelling to explore the complex interactions between the built environment, transport infrastructure, and human mobility.

Her research has been published in leading international journals, including two ESI Highly Cited Papers. She has been invited to present her work at various research institutions, including KTH Royal Institute of Technology and the University of Leeds, as well as at international conferences such as the Transportation Research Board Annual Meeting and the IEEE Intelligent Transportation Systems Conference.

Research opportunities

PhD applications:

She is seeking motivated PhD students to work on AI-driven urban mobility systems, with a focus on data-driven urban analytics, traffic simulation, and learning-based control. Applicants are expected to have strong programming skills and an interest in applying AI and data-driven approaches to transportation systems. Prior research experience or publications (e.g., journal papers) are desirable. Experience with Python, machine learning, or traffic simulation tools would be beneficial.

Prospective students are encouraged to email their CV, academic transcripts, and a brief cover letter to [email protected]. Visiting PhD students are also welcome.

Scholarship opportunities can be found here.

Final-year projects:

Undergraduate or postgraduate students in the School of Engineering at UWA who wish to undertake their final-year projects under her supervision are also welcome to reach out.

Engagement

Beyond her research pursuits, Lillian serves as a reviewer for many academic journals and was honored as an outstanding reviewer for Multimodal Transportation in 2024. In addition to her role as an Associate Editor for the IEEE Intelligent Transportation Systems Conference, she also contributes to the technical committees of several international conferences in transportation and intelligent transportation systems and serves as a session chair at international conferences.

Teaching overview

CIVL4430 Transportation and Pavement Engineering, Unit Coordinator

CIVL5550 Civil Infrastructure Design Project, Unit Coordinator

GENG4411/GENG5511 Engineering Research Project Part 1

GENG4412/GENG5512 Engineering Research Project Part 2

Previous positions

Visiting Academic, University of Leeds, UK (Jul 2025)

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

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

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

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

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

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

Education/Academic qualification

Transport Engineering, PhD, Monash University

Graduate Certificate in Tertiary Teaching, The University of Western Australia

Research expertise keywords

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

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):

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 4 - Quality Education
    SDG 4 Quality Education
  3. SDG 5 - Gender Equality
    SDG 5 Gender Equality
  4. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure
  5. SDG 10 - Reduced Inequalities
    SDG 10 Reduced Inequalities
  6. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities
  7. SDG 13 - Climate Action
    SDG 13 Climate Action
  8. SDG 17 - Partnerships for the Goals
    SDG 17 Partnerships for the Goals

Fingerprint

Dive into the research topics where Lillian Wu is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
  • 1 Similar Profiles

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