Biography

Guanhua (Chris) Wang

Chris Wang is a Senior Research Associate at UNSW Sydney’s City Futures Research Centre, embedded in the MapAI lab. His work blends principled AI, game-theoretic reasoning, and spatial analytics so that government, industry, and communities can deploy smart city systems with trust, accountability, and measurable benefits.

He mentors graduate researchers, advises policy teams, and oversees civic data partnerships spanning urban mobility, housing, and digital twins.

Timeline

Academic & professional milestones

2024 – Present

Senior Research Associate · City Futures Research Centre / MapAI · UNSW Sydney

Leading MapAI’s multidisciplinary lab that pairs spatial intelligence, government criteria, and stakeholder insight to prototype trustworthy urban AI interventions.

2022

PhD · Computer Science, University of Adelaide

Doctoral research combined mechanism design with machine learning, producing transparent policy automation tested on Australian housing and transport data. Earned the Dean’s Commendation and served as Mace Bearer for the graduation ceremony.

2021 – 2023

Research Fellow · School of Data Science and AI, Victoria University

Worked with Prof. Yuan Miao to build knowledge modelling and natural language processing pipelines that supported policy lab experiments and civic language automation.

2017 – 2021

Consultant & Researcher · Government and industry labs

Delivered geo-spatial analytics, intelligent transport models, and early-stage AI pilots for state agencies, cultural institutions, and urban design practices.

Academic path

Degrees that shaped the lens

  • PhD, Computer Science · University of Adelaide (2022) · Dean’s Commendation & Mace Bearer
  • MEng, Electrical and Electronic Engineering · Wuhan University (2018)
  • BEng, Electrical Engineering · University of Electronic Science and Technology of China (2016)

Research values

Principles that guide every project

Equity-led design

Prioritises historically underserved voices so algorithms amplify choice, not gatekeeping, across every dataset and policy simulation.

Radical transparency

Publishes reproducible workflows, open datasets, and explainers so public servants and communities can follow the research journey.

Research co-creation

Works shoulder-to-shoulder with planners, technologists, and cultural partners to translate experimental findings into scaled projects.