Shaohua Wang: Innovation fellow, working in Aerospace Information Research Institute, Chinese Academy of Sciences, Ph.D. The main research interests cover geographical big data analysis, remote sensing big data mining, and geospatial intelligence research.
ACADEMIC QUALIFICATIONS
PhD. Institute of Geographical Sciences and Resources, The Chinese Academy of Sciences, ChinaCartography and GIS (2008-2013)
BSc. (Hons). Beijing University of Chemical Technology, China
Information and Computing Sciences (2002-2006)
APPOINTMENTS
2021-presentInnovation fellow, Aerospace Information Research Institute, Chinese Academy of Sciences, China
2019-2021
Postdoctoral researcher, CyberGIS Center, University of Illinois Urbana-Champaign, the USA.
2018-2019Postdoctoral researcher, SPARC Center, Arizona State University, the USA.
2016-2018Postdoctoral researcher, department of geography, UC Santa Barbara, the USA.
2013-2016Postdoctoral researcher, Institute of Geographical Sciences and Resources, The Chinese Academy of Sciences, China
2006-2008Software Engineer, SuperMap Research Institute, Beijing SuperMap Software Co., Ltd., China
PUBLICATIONS
[1]Shaohua Wang*, Yang Zhong, Erqi Wang. An Integrated GIS Platform Architecture for Spatiotemporal Big Data. Future Generation Computer Systems. 94, 160-172.
[2]Shaohua Wang, Song Gao*, Xin Feng, Alan Murray, Yuan Zeng. A context-based geoprocessing framework for optimizing meetup location of multiple moving objects along road networks. International Journal of Geographical Information Science. 32:7, 1368-1390
[3]Yeran Sun, Shaohua Wang*, Yu Wang. Estimating local-scale urban heat island intensity using nighttime light satellite imageries. Sustainable Cities and Society.
[4]Wenwen Li*, Shaohua Wang*, Xiaoyi Zhang, Qinren Jia, Yuanyuan Tian. Understanding intra-urban human mobility through an exploratory space-time analysis of bike-sharing trajectories. International Journal of Geographical Information Science.
[5]Xin Feng, Shaohua Wang*, Alan Murray, Yuanpei Cao, Song Gao. Multi-Objective Trajectory Optimization in Planning for Sequential Activities Across Space and Through Time. Environment and Planning B: Urban Analytics and City Science. https://doi.org/10.1177/2399808320913300. (SSCI)
[6]Richard Church, Shaohua Wang. Solving the p-median problem on regular and lattice networks. Computers and Operational Research. https://doi.org/10.1016/j.cor.2020.105057. (SCI)
[7]Liang Zhou, Shaohua Wang*, and Zhibang Xu. A Multi-factor Spatial Optimization Approach for Emergency Medical Facilities in Beijing. ISPRS International Journal of Geo-Information, 8(10), 2020.361. (SCI)
[8]Shaohua Wang, Yeran Sun*, Yinle Sun, Yong Guan, Zhenhua Feng, Hao Lu, Long, Liang (2019). A Hybrid Framework for High-Performance Modeling of Three-Dimensional Pipe Networks. ISPRS International Journal of Geo-Information, 8(10), 441. (SCI)
[9]Shaohua Wang, Ershun Zhong*, Kai Li, Guanfu Song, Wenwen Cai. A Novel Dynamic Physical Storage Model for Vehicle Navigation Maps. ISPRS International Journal of Geo-Information, 5(4), 53-68. 2016.doi:10.3390/ijgi5040053. (SCI)
[10] Xu Chen, Shaohua Wang*, Huilai Li, Fangzheng Lyu, Haojian Liang, Xueyan Zhang, Yang Zhong. (2022). Ndist2vec: Node with Landmark and New Distance to Vector Method for Predicting Shortest Path Distance along Road Networks. ISPRS International Journal of Geo-Information, 11(10), 514. (SCI)
[11] Haojian Liang, Shaohua Wang*, Huilai Li, Huichun Ye, Yang Zhong. (2022). A Trade-Off Algorithm for Solving p-Center Problems with a Graph Convolutional Network. ISPRS International Journal of Geo-Information, 11(5), 270. (SCI)
[12] Shaohua Wang, Gang Fu (2023). Modelling soil moisture using climate data and normalized difference vegetation index based on nine algorithms in alpine grasslands. Frontiers in Environmental Science. (SCI)
ORAL PRESENTATIONS
2018 AAG, one of the panelists in the 'Spatiotemporal Study: Big Geospatial Data Challenges and Best Practices' panel session. This session chaired by Prof. Chaowei Yang.
2018 The leadership workshop of the Location Analytics in Business “Comparative analysis for p-median problems”）
2017 ACM SigSpatial Spatial big data workshop （“Geospatial Big Data Analytics Engine for Spark”）