Postgraduate research students

Fengjiao Li

E-mail:f.li.3@research.gla.ac.uk 

 

Personal Website 

ORCID iDhttps://orcid.org/0009-0006-9075-0818

Research title: Towards GeoAI-Enhanced Mobility-Based Health Risk Analysis: Embedding Spatial Intelligence into Graph Neural Networks for Dynamic Population Modelling

Research summary

 

My research lies at the intersection of GeoAI, spatial data science, and machine learning. I am interested in developing new methods for spatial-temporal graph learning, with a particular focus on representation learning, adaptive graph learning, and interpretable GeoAI for modelling complex spatial systems.

My current research investigates how different forms of geographic information, including spatial proximity, mobility patterns, transportation networks, and socioeconomic characteristics, can be effectively represented, adaptively learned, and interpreted within graph learning frameworks. By integrating these heterogeneous spatial relationships, I aim to improve the accuracy, robustness, and interpretability of spatial prediction models while providing deeper insights into the underlying spatial processes.

I evaluate these methods across public health and transportation applications, with the broader goal of developing transferable GeoAI approaches for urban forecasting and spatial decision support.

 

Publications

List by: Type | Date

Jump to: 2026 | 2025
Number of items: 4.

2026

Li, Fengjiao ORCID logoORCID: https://orcid.org/0009-0006-9075-0818, Wu, Meiliu ORCID logoORCID: https://orcid.org/0000-0002-5246-4603 and Basiri, Ana ORCID logoORCID: https://orcid.org/0000-0002-2399-1797 (2026) Spatiotemporal Adaptive Learning for Flow-Based Graph Neural Networks. In: 17th International Conference on Spatial Information Theory (COSIT 2026), York, UK, 22-25 September 2026, 31:1-31:9. ISBN 9783959774383 (doi: 10.4230/LIPIcs.COSIT.2026.31)

Wu, Meiliu ORCID logoORCID: https://orcid.org/0000-0002-5246-4603, Han, Ting, Chen, Yimin, Wang, Mingshu ORCID logoORCID: https://orcid.org/0000-0001-5260-3143, Zhu, Mingyu ORCID logoORCID: https://orcid.org/0000-0002-8972-6945, Feng, Zixin ORCID logoORCID: https://orcid.org/0009-0003-7539-9917, Zhao, Qunshan ORCID logoORCID: https://orcid.org/0000-0002-5549-9457, Li, Fengjiao ORCID logoORCID: https://orcid.org/0009-0006-9075-0818 and Doan, Quang Cuong (2026) GeoAI for urban analytics: opportunities and challenges. Big Earth Data, (Accepted for Publication)

Li, Fengjiao ORCID logoORCID: https://orcid.org/0009-0006-9075-0818, Wu, Meiliu ORCID logoORCID: https://orcid.org/0000-0002-5246-4603 and Basiri, Ana ORCID logoORCID: https://orcid.org/0000-0002-2399-1797 (2026) Spatially Explicit Graph Neural Networks for Epidemic Forecasting: Evidence from Socioeconomic Embeddings. In: 1st International Conference on Geospatial Artificial Intelligence (GeoAI 2026), Ghent, Belgium, 03-06 June 2026, (doi: 10.5281/zenodo.19475485)

2025

Li, Fengjiao ORCID logoORCID: https://orcid.org/0009-0006-9075-0818, Wu, Meiliu ORCID logoORCID: https://orcid.org/0000-0002-5246-4603 and Basiri, Ana ORCID logoORCID: https://orcid.org/0000-0002-2399-1797 (2025) Mobility vs. Contiguity: Spatially Explicit Graph Neural Networks for COVID-19 Forecasting. In: 6th Spatial Data Science Symposium (SDSS 2025), 04-05 Dec 2025, (doi: 10.5281/zenodo.17660772)

This list was generated on Mon Nov 2 02:11:14 2026 GMT.
Jump to: Articles | Conference Proceedings
Number of items: 4.

Articles

Wu, Meiliu ORCID logoORCID: https://orcid.org/0000-0002-5246-4603, Han, Ting, Chen, Yimin, Wang, Mingshu ORCID logoORCID: https://orcid.org/0000-0001-5260-3143, Zhu, Mingyu ORCID logoORCID: https://orcid.org/0000-0002-8972-6945, Feng, Zixin ORCID logoORCID: https://orcid.org/0009-0003-7539-9917, Zhao, Qunshan ORCID logoORCID: https://orcid.org/0000-0002-5549-9457, Li, Fengjiao ORCID logoORCID: https://orcid.org/0009-0006-9075-0818 and Doan, Quang Cuong (2026) GeoAI for urban analytics: opportunities and challenges. Big Earth Data, (Accepted for Publication)

Conference Proceedings

Li, Fengjiao ORCID logoORCID: https://orcid.org/0009-0006-9075-0818, Wu, Meiliu ORCID logoORCID: https://orcid.org/0000-0002-5246-4603 and Basiri, Ana ORCID logoORCID: https://orcid.org/0000-0002-2399-1797 (2026) Spatiotemporal Adaptive Learning for Flow-Based Graph Neural Networks. In: 17th International Conference on Spatial Information Theory (COSIT 2026), York, UK, 22-25 September 2026, 31:1-31:9. ISBN 9783959774383 (doi: 10.4230/LIPIcs.COSIT.2026.31)

Li, Fengjiao ORCID logoORCID: https://orcid.org/0009-0006-9075-0818, Wu, Meiliu ORCID logoORCID: https://orcid.org/0000-0002-5246-4603 and Basiri, Ana ORCID logoORCID: https://orcid.org/0000-0002-2399-1797 (2026) Spatially Explicit Graph Neural Networks for Epidemic Forecasting: Evidence from Socioeconomic Embeddings. In: 1st International Conference on Geospatial Artificial Intelligence (GeoAI 2026), Ghent, Belgium, 03-06 June 2026, (doi: 10.5281/zenodo.19475485)

Li, Fengjiao ORCID logoORCID: https://orcid.org/0009-0006-9075-0818, Wu, Meiliu ORCID logoORCID: https://orcid.org/0000-0002-5246-4603 and Basiri, Ana ORCID logoORCID: https://orcid.org/0000-0002-2399-1797 (2025) Mobility vs. Contiguity: Spatially Explicit Graph Neural Networks for COVID-19 Forecasting. In: 6th Spatial Data Science Symposium (SDSS 2025), 04-05 Dec 2025, (doi: 10.5281/zenodo.17660772)

This list was generated on Mon Nov 2 02:11:14 2026 GMT.

Supervisors

Grants

  • 2024-2028, University of Glasgow - The China Scholarship Council (CSC) Co-operative Scholarship.

  • 2026, Centre for Data Science Conference and Training fund，£1345

  • 2026, International Conference on Geospatial Artificial Intelligence, Travel grants, €300

  • 2026, ACM SIGSPATIAL Travel Award, $500

Conferences

Fengjiao Li, Meiliu Wu, and Ana Basiri. Spatiotemporal Adaptive Learning for Flow-Based Graph Neural Networks (Short Paper). In 17th International Conference on Spatial Information Theory (COSIT 2026), York, UK. Leibniz International Proceedings in Informatics (LIPIcs), Volume 393, pp. 31:1-31:9, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2026) https://doi.org/10.4230/LIPIcs.COSIT.2026.31

Li, F., Wu, M., & Basiri, A. (2025, November 20). Mobility vs. Contiguity: Spatially Explicit Graph Neural Networks for COVID-19 Forecasting. The 6th Spatial Data Science Symposium (SDSS 2025). https://doi.org/10.5281/zenodo.17660772

Li, F., Wu, M., & Basiri, A. (2026, April 8). Spatially Explicit Graph Neural Networks for Epidemic Forecasting: Evidence from Socioeconomic Embeddings. The 1st International Conference on Geospatial Artificial Intelligence (GeoAI 2026), Ghent, Belgium. https://doi.org/10.5281/zenodo.19475486

Han, T., Li, F., Chen, . chunsong ., Huang, H., Wu, M., & Chen, Y. (2026, May 20). Spatially-Weighted CLIP for Street-View Geo-localization. The 1st International Conference on Geospatial Artificial Intelligence (GeoAI 2026), Ghent, Belgium. https://doi.org/10.5281/zenodo.20313536

Teaching

Teaching Assistant：

School of Geographical & Earth Sciences

  • Geography 2 STATS-GIS, 2026
  • GEOG5015: Web and Mobile Mapping(PGT), 2026
  • Geography 2 Urban Ecology Lab，2026-2027
  • GEOG5018: PRINCIPLES OF CARTOGRAPHIC DESIGN & PRODUCTION (PGT), 2026
  • GEOG5137 INTRODUCTION TO GEOSPATIAL AI (PGT)，2027

School of Mathematics and Statistics

  • Maths 2T, 2025
  • Maths 2D, 2025
  • Maths & Stats Hub (Maths 2A 2B 2C), 2026-2027

Research Assistant：

RA, in Social Sciences Administration within the College of Social Sciences. 2025.

RA, in  School of Geographical & Earth Sciences, 2026 

Additional information

Education：

  • PhD/Doctoral Researcher in Statistics, University of Glasgow, 2024-2025
  • M.Sc. in Applied Statistics (Biostatistics), University of Liverpool, 2024
  • B.Sc. in Applied Mathematics and Statistics, University of Wisconsin, 2022
  • B.Sc. in Economic Statistics,Suzhou University of Technology, 2022

Professional Experience：

  • Biostatistician

    Zenith CRO, Shanghai, China
    12/2023 – 09/2024

    Transcenta, Suzhou, China
    06/2023 – 10/2023

  • Graduate Teaching Assistant and Research Assistant

           Xi’an Jiaotong-Liverpool University (XJTLU), Suzhou, China

           Boston University (BU), Boston, USA

  • SAS Analyst

           ClinChoice，Nanjing，China

Skills: Python, R, SAS, PyTorch