Advisory Board and Editors Spatial & Geographic Information Systems
Barry S Rowlingson
I've worked in GIS and Spatial Statistics since 1990, first in the Maths and Stats and the Geography department, and now in the Lancaster Medical School as part of a research group looking at spatial data in health applications. We have a focus on tropical disease epidemiology but also look at wider spatial statistical health research.
Arnold R. Salvacion
Arnold is a Research Fellow at Centre for Crop and Disease Management, Curtin University. He is an environmental scientist with more than 15 years of research experience in agriculture, natural resource, applied climate science, human ecology, quantitative geography, and geographic information system. In 2021, he was awarded as one of the Outstanding Young Scientists by the National Academy of Science and Technology (Philippines) for his contribution to the advancement of human ecological research in the country. He is the founding Editor-in-Chief of the Journal of Human Ecology and Sustainability and also serves on the Editorial Board of Spatial Information Research, and SN Social Sciences.
Rossano Schifanella
Rossano Schifanella is an associate professor of computer science at the University of Turin and a researcher at ISI Foundation, where he is a member of the Data Science for Social Impact and Sustainability group. His research embraces the creative energy of a range of disciplines across machine learning, urban science, computational social science, complex systems, and data visualization. He leverages data-driven approaches to model the behavior of (groups of) individuals and their interactions in space and time, aiming at understanding the interplay between online and offline social behavior. He is passionate about understanding the dynamics of complex phenomena in modern cities and building interactive web interfaces to explore urban spaces and access human knowledge through geography.
Stefan Steiniger
Stefan Steiniger is a Professor at the School of Construction and Transport Engineering at Pontificia Universidad Catolica de Valparaiso, Chile, and in charge of the spatial data infrastructure/observatory of the Chilean Centre for Urban Sustainable Development (CEDEUS). With a background in automated geo-visualization, spatial data analysis, geodesy and geo-information technologies in general he has a wide interest in developing free & open source GIS tools and their applications in diverse fields including cartography, wildlife ecology, landscape ecology, urban planning, and transportation. His latest research focuses on (i) developing web platforms for urban accessibility analysis - such as CiudadCaminable.com and Walkability.App, (ii) processes and tools for the calculation (Python and R), visualisation (Dashboards) and management of sustainable city indicators and their data, as well as (iii) the development of scenario modelling tools for urban planning.
Fusheng Wang
I am a Professor at Department of Biomedical Informatics and Department of Computer Science at Stony Brook University. I received my Ph.D. in Computer Science from University of California, Los Angeles, and M.S. and B.S. in Engineering Physics from Tsinghua University, China. Prior to joining Stony Brook University, I was an assistant professor at Emory University. I was a research scientist at Siemens Corporate Research (Princeton, NJ) before joining Emory University.
My research goal on big data management and analytics is to address the research challenges for delivering effective, scalable and high performance software systems for managing, querying and mining complex big data at multiple dimensions, including 2D and 3D spatial and imaging data, temporal data, spatial-temporal data, and sequencing data. My research goal on biomedical informatics is to develop novel methods and software systems to optimize the acquisition, extraction, management, and mining of biomedical data with much improved efficiency, interoperability, accuracy, and usability to support biomedical research and the healthcare enterprise.
Lei Wang
Professor of Geography at Louisiana State University. Research interests include Geocomputation, GeoAI, Remote Sensing of water, Spectroscopic analyses, and mapping flood hazards.
Christopher John Webster
Prof. Chris Webster is Dean of the Faculty of Architecture, the University of Hong Kong, and leads the HKUrbanLab. He has degrees in urban planning, computer science, economics and economic geography and is a leading urban theorist and spatial economic modeller. He has published over 150 scholarly papers on the idea of spontaneous urban order and received over US$20M grants for research and teaching and learning projects.
His research interests includes leading HKU’s Healthy High Density Cities research group to establish systematic evidence for the relationship between urban configuration (planned and spontaneous) and individual health.
He is a strong supporter of the discipline of Urban Science, believing that much (but by no means all) urban social science of the 20th century did not deliver on its claims and that advances in big data, sensing technology and computing power, are leading to a new engagement between urban decision makers and scientists. The 20th century urban scholars' reliance on small numbers, descriptive case studies, rudimentary analytics, cross-sectional designs and subjective measurements from social surveys are giving way to a more mature phase of urban science, with large-N panel studies, quasi and RCT designs, temporally and spatially fine-grained units of analysis, and a high degree of inter-disciplinarity. Professor Webster's hope is that an increasing number of Urban Science studies will appear in widely-read public science journals.
Matthew D Wilson
Matthew (Matt) Wilson is a Professor in Spatial Information and Director of the Geospatial Research Institute Toi Hangarau at the University of Canterbury in Christchurch, New Zealand. He is a surface water hydrologist and geographical information scientist with specialisations including flood risk, surface water dynamics, water resources, remote sensing, numerical model development, uncertainty analysis and the assessment of the potential impacts of climate change. Previous research has included the assessment of the potential impacts of climate change on flood risk and water resources in the Caribbean and the analysis of surface water hydrodynamics on a 300 km reach of the Amazon River in Brazil. In New Zealand, his current research includes leading the uncertainty theme for a national scale flood risk assessment, the creation of a digital twin for flood resilience, and the creation of algorithms for processing of novel airborne GNSS reflectometry measurements for estimation of soil water content.
Keli Xiao
Dr. Keli Xiao is an Associate Professor in the College of Business at Stony Brook University. He received his Ph.D. from Rutgers University. Dr. Xiao’s research interests include business analytics, data mining, real estate/urban computing, economic bubbles and crises, and asset pricing. His research has appeared in many high-quality journals and conference proceedings, such as IEEE Transactions on Knowledge and Data Engineering (TKDE), Real Estate Economics, ACM Transactions on Knowledge Discovery from Data (TKDD), ACM Transactions on Management Information Systems (TMIS), ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), etc. He regularly serves as an SPC or PC of numerous prestigious conferences, such as AAAI, IJCAI, KDD, ICDM, SDM, CIKM, etc.. He is a senior member of the IEEE and the ACM.
Jianhua Xu
Jianhua Xu is Professor of Geography and Director of The Research Center for East-West Cooperation in China. He has published 16 books and more than 200 papers. He has worked as the editor of several academic journals, such as Journal of Desert Research, Areal Research and Development, Human Geography, Ecologic Science, Arid Land Geography, Chinese Geographical Science, Journal of Signal and Information Processing, PeerJ, International Journal of Ecology and Ecosolution, etc.