Peng Ju, PhD, Postdoctoral Researcher. Her main research interests include spatio-temporal data mining and mobility pattern mining. She is dedicated to integrating the theories and methods of geographic information science, data mining, and deep learning with multi-source spatio-temporal data to build a human-centric spatio-temporal intelligent cognition and mining framework, serving fields such as human mobility pattern mining, urban spatial perception, and smart city applications.
Education：
2021.09-2026.06 Central South University, PhD
2017.09-2021.06 Central South University, Bachelor
[1]Ju Peng, Jianbo Tang*, Min Deng, et al. A two-stage method for detecting trajectory clusters of different densities with peak trajectories identification[J]. International Journal of Geographical Information Science, 2025, 39(10): 2177-2210.（中科院1区top）
[2]Ju Peng, Min Deng, Jianbo Tang*, et al. A movement-aware measure for trajectory similarity and its application for ride-sharing path extraction in a road network[J]. International Journal of Geographical Information Science, 2024, 38(9): 1703-1727. （中科院1区top）
[3]Jianbo Tang, Min Deng, Ju Peng*, et al. How to describe spatiotemporal patterns of moving objects: A new classification framework[J]. International Journal of Geographical Information Science, 2026, 40(4): 1005-1046. （中科院1区top）
[4]Jianbo Tang, Min Deng, Ju Peng*, et al. Automatic road network selection method considering functional semantic features of roads with graph convolutional networks [J]. International Journal of Geographical Information Science, 2024, 38(11): 2403-2432.
[5]Min Deng, Ju Peng, Jianbo Tang*, et al. Spatio-temporal Pattern Mining of Moving Objects: Concepts, Methods, and Challenges [J]. Journal of Geovisualization and Spatial Analysis, 2025, 9(2):1-32. （中科院1区top）
[6]Ju Peng, Jianbo Tang *, Min Deng, et al. Discovering spatiotemporal patterns of human outdoor activities with crowdsourced trajectory data[J]. Geo-spatial Information Science, 2025, 28(3): 1214-1236. （中科院1区）
[1] The 13th University GIS Forum "University GIS Newcomer", 2025
[2] "Outstanding Presentation Award", The 11th National Academic Forum for Doctoral Students in Geographic Information Science, 2024
