About Bin Jiang
I am Professor in GeoInformatics and Computational Geography at the Faculty of Engineering and Sustainable Development of University of Gävle, with docent title from the Royal Institute of Technology (KTH, Stockholm). Before that I have served as Senior Lecturer in 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 University of Utrecht and the University of Twente, 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), and Journal of Big Data Analytics in Transportation (Springer). 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, and geospatial big data. Inspired by Christopher Alexander's work, I developed a mathematical model of beauty, which helps address why a design is beautiful, and how much beauty the design has. I can teach Geographic 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 smarter.