Fangcao Xu

Ph.D. Student, Pennsylvania State University Curriculum Vitae

About Me

I am currently a Ph.D. student in Geoinformatics and Earth Observation Laboratory (GEOlab) advised by Prof. Guido Cervone at Pennsylvania State University with a doctoral minor in Social Data Analytics (SoDA). Before that, I joined the (GeoVISTA Center) under the supervision of Prof. Donna Peuquet and obtained my second Master degree of Geography in 2018. My research foci include two main areas: 1) spatiotemporal information diffusion, natural language processing, social network analysis; and 2) hyperspectral image analysis, deep learning algorithm developments for the target detection.

In Fall 2014, I got admitted to the University of Pennsylvania for the M.Sc. degree of Urban Spatial Analytics in the School of Design. My research foci include the data science, spatial data analytics - most notably Geographic Information System (GIS) - statistics, R and Python programming, data visualisation and web-based mapping with substantive knowledge under the urban context (e.g., urban land use planning, transportation, natural hazard simulations and predictions).

I received my B.Sc. of Surveying and Mapping from Wuhan University in June 2014. The topic of my bachelor thesis is - Reconstruction of 3D City Model based on oblique images.

Working Experience


My work in Esri China (Beijing) from 2015 to 2016:
Data Scientist in 1) designing business geographic web map prototype and user interface, 2) collecting and analyzing geographic big data, and 3) developing algorithms for the trading area analysis, site selection and route optimization.

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My Research


My research at Pennsylvania State University in GEOlab and GeoVISTA:

  • Expanded dimensionality for image spectroscopy via deep learning, Defense Advanced Research Projects Agency (DARPA)
  • Cyber Bullying on Twitter: A Quasi-Experimental Study of Corporate Policy Effects
  • Comment Analytics: Leveraging Big Unstructured Data to Understand Public Response to Government Policy (CyberScience Seed Grant)
  • Natural Language Processing and Network Analysis of GOP Press Releases

  • member My reasearch at University of Pennsylvania, in MUSA:

  • Spatiotemporal analysis of Divvy bike travelling in Chicago
  • Retail Site and Trading Area Analysis, Philadelphia
  • Housing Price Prediction with the Regression Model, Philadelphia
  • Multi-hazard Damage Assessment, Pennsylvania

  • member

    My research at Wuhan University in Surveying and Mapping:

  • Image-based Reconstruction and texture rendering of 3D city model
  • Publications

    1. Sun, J., Xu, F., Cervone, G., Gervais, M., Wauthier, C., & Salvador, M. (2021). Automatic atmospheric correction for shortwave hyperspectral remote sensing data using a time-dependent deep neural network. ISPRS Journal of Photogrammetry and Remote Sensing, 174, 117-131
    2. Xu, F., Desmarais, B., & Peuquet, D. (2020). STAND: A Spatio-Temporal Algorithm for Network Diffusion Simulation. In Proceedings of the 3rd ACM SIGSPATIAL International Workshop on GeoSpatial Simulation, 20–29
    3. Xu, F., Cervone, G., Franch, G., & Salvador, M. (2020). Multiple geometry atmospheric correction for image spectroscopy using deep learning. J. of Applied Remote Sensing, 14(2)
    4. Chen, X., Xu, F., & Wang ,W. (2018). Geographic big data’s application in Retailing business. In: Big Data Support of Urban Planning and Management, pp. 157–176. Springer, Cham
    5. MacEachren, A. M., Caneba, R., Chen, H., Cole, H., Domanico, E., Triozzi, N., Xu, F., & Yang, L. (2018). Is This Statement About A Place? Comparing two perspectives. In proceeding of International Conference on GIScience Short Paper
    1. 101th Advanced Earth and Space Science (AGU) Fall Meeting, Application of Machine Learning and Artificial Intelligence in Observing and Modeling, and Analyzing Our Atmosphere. Dec. 2020, Online
    2. 28th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 3rd ACM SIGSPATIAL International Workshop on GeoSpatial Simulation (GeoSim'20). Nov. 2020, Seattle, USA
    3. 100th Advanced Earth and Space Science (AGU) Fall Meeting, Light Scattering and Radiative Transfer: Basic Research and Applications. Dec. 2019, San Francisco, USA
    4. 20th Annual Conference of the International Association for Mathematical Geosciences (IAMG). Aug. 2019, State College, USA
    5. American Association of Geographers (AAG) Annual Conference, Cities and Networks IV: New Frontiers. Apr. 2019, Washington, D.C., USA
    6. American Association of Geographers (AAG) Annual Conference, High Performance Computing for Big Spatiotemporal Data Mining. Apr. 2018, New Orleans, USA

    Computer Skills

    Software and Programming Languages related to My Research:


    ArcGIS Desktop; ArcGIS Engine; ArcGIS Online, Google Earth GUI; GeoDA; Hazus; WinTR-55; SWMM

    Remote Sensing/Imagery

    ERDAS; ENVI; AutoCAD; SketchUp

    Programming Languages

    JAVA; JavaSript; Python; R; Shell Scripting; Scala; PHP; HTML

    High Performance Computing/Database

    Apache Spark; Apache Hadoop; MySQL; PostgreSQL; ESRI Geodatabase

    Machine/Deep Learning

    PyTorch; TensorFLow; Scikit-Learn; Amazon Mechanical Turk


    R; SPSS; Matlab; Excel; Fragstats


    Google Map API; GeoNames; GeoPy; GeoTxt


    Linux; Interactive Web Mapping; Stanford NLP, LaTeX


    Find me in academic and social media

    Contact Me

    302 Walker BuildingPennsylvania State University State College, PA United States

    Phone: Check this in my CV

    My Lab