Qi Han

Dr. Qi Han is an associate professor of sustainability transition in the built environment. Her research interests include modelling the transition process in the urban environment, behaviour change and data-driven technology in resource optimization. She has been working on various topics linked with resource optimization in terms of land use, building material, social network analysis, CO2, and energy transition. In contribution to big data and AI, she has developed various simulation models to efficiently provide decision support for planners and policymakers. Her recent works include also natural-based solutions for resilient cities, the application of AI algorithms in resource optimization regarding energy efficiency and CO2 reduction, and circular buildings. She supervises PhDs and master students, works on EU funded projects in smart cities, and energy transition, and is involved in the teaching of process modelling courses. She is a guest editor of journals and serves constantly as an ad hoc reviewer for many journals and conferences in planning, energy, environment management, and sustainable city and society.

It is people’s creativity in finding new ways of interacting with one another, with the built environment that makes the world interesting and challenging.”