Qinran Zhang is a PhD candidate and Assistant Lecturer based in Melbourne, combining nine years of planning and academic experience at Monash and the University of Melbourne. His research bridges land use and transport interaction (LUTI) with applied spatial and statistical analysis, using Python-driven machine learning to probe how built environments shape diverse travel behaviours. He has practical planning credentials from major projects such as Chengdu Tianfu International Airport and a growing focus on evaluating mobility hubs and their local impacts. In teaching roles he translates complex theory into practice for global city-region and sustainable traffic systems courses, while his joint supervision background in transport engineering tightens the link between academia and real-world implementation. Colleagues describe him as a methodical researcher who blends quantitative rigour with hands-on planning experience to inform policy-relevant transport solutions.
9 years of coding experience
Joint- supervision, transport engineering, Joint- supervision, transport engineering at Shanghai Jiao Tong University
Master's degree, Human geography, Master's degree, Human geography at East China Normal University
Doctor of Philosophy - PhD, Land use and public transport, Doctor of Philosophy - PhD, Land use and public transport at Monash University
Contributions:255 commits, 15 pushes, 2 branches in 4 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Qinran Zhang - Assistant Lecturer at University of Melbourne