About Bin Jiang
I am Professor of Urban Informatics at the Urban Governance and Design Thrust of the Hong Kong University of Science and Technology (Guangzhou) and previously Professor of GeoInformatics at the University of Gävle. Before that, I have served as Senior Lecturer and Associate Professor at the same institution for seven years. I worked at the Hong Kong Polytechnic University as Assistant Professor for three years and I was Senior Research Fellow at the Centre for Advanced Spatial Analysis (CASA), University College London. I hold Ph.D. in geographic information systems from the Utrecht University, the Netherlands, M.Sc. in Remote Sensing and Computer Cartography from Chinese Academy of Surveying and Mapping, Beijing, and B.Sc. in Cartography from Wuhan University, China. I am the primary developer of the software tool Axwoman for topological analysis of very large street networks. I invented the new classification scheme Head/tail Breaks for scaling analysis of big data. I am the founding Chair of the International Cartographic Association Commission on Geospatial Analysis and Modelling, and used to be Associate Editor of international journal Computers, Environment and Urban Systems (2009-2014). Currently, I am serving as an Associate Editor of Frontiers in Built Environment, and Cartographica, and as an editorial board member of many scientific journals such as Smart Cities (MDPI), Urban Science (MDPI), Data Science for Transportation (Springer), and International Journal of Geographical Information Science (Taylor & Francis). My research interests center on geospatial analysis and modeling of urban structure and dynamics, e.g., agent-based modeling, scaling hierarchy, and topological analysis applied to street networks, cities, or geospatial big data in general. Inspired by Christopher Alexander's work, I developed a mathematical model of living structure, which helps address not only why a space is living, but also how living the space is. I can teach Geospatial Information Science, Cartography, Geospatial Analysis and Modelling, Big Data Analytics, and City Science. I am interested in studying Fractal Geometry, Complex Networks, and Scaling Hierarchy not only for better understanding geographic forms and processes, but also for better planning our built environments to become more livable and sustainable.
