teaching

Teaching, programme leadership and research supervision · Updated September 2026

University of Glasgow, Scotland, UK · 2024/08 - present

Program Director & Lecturer, School of Geographical & Earth Sciences

  • Program Director: designing a new MSc program in Geospatial Data Science & AI (starting in autumn 2026), including courses in Intro to GeoAI and Big GeoData Analytics;
  • [Planned] Introduction to Geospatial AI, spring 2027 (In-person; 50 graduates);
  • GEOG5015 Web and Mobile Mapping, spring 2026 (In-person; 30 graduates);
  • GEOG5018 Principles of Cartographic Design & Production, autumn 2024 (In-person; 40 graduates); autumn 2025 (In-person; 30 graduates);

PhDs Supervisor

  • Zeyu Xiao (incoming PhD student in Jan 2027, first supervisor). Leveraging Spatially Explicit Graphs, Digital Twinning, and BIM to Enhance Perception, Localisation, and Navigation.
  • Mengkun Song (incoming PhD student in Oct 2026, first supervisor). Spatiotemporal Evolution of Streetscape Perception in Global Cities: A GeoAI Approach Using Multimodal Large Language Models.
  • Yueting Wang (PhD student in Sep 2026, first supervisor). Beyond AlphaEarth Foundations: Fine-resolution Mapping and Tracking Global Coastal Vegetated Ecosystem Change.
  • Eleanor Downie (PhD student from 1 September 2026, first supervisor). AI-Driven Satellite Embeddings for Fine-resolution Mapping and Tracking Invasive Species on Global Reclaimed Lands.
  • Shunyu Yao (PhD student, first supervisor). Towards Ethical GeoAI: Enhancing Fairness, Privacy, and Interpretability from A Data Perspective. 2025/10 – present.
  • Fengjiao Li (PhD student, first supervisor). Towards GeoAI-Enhanced Mobility-Based Health Risk Analysis: Embedding Geospatial Intelligence into Graph Neural Networks for Dynamic Population Modelling. 2025/05 – present.
  • Ayush Dabra (PhD student, secondary supervisor). The Dynamics of Cities – Enabling Minority Representation in Urban Environments. 2025/01 – present.
  • Yuwei Cai (PhD student, secondary supervisor). Super-resolution for Building Datasets Using Deep Learning Methods. 2024/08 – present.
  • Zhimeng He (PhD student, secondary supervisor). Advancing Deep Learning Architectures for Urban Data Analysis in 2D and 3D. 2024/09 – present.
  • Yuchen Wang (PhD student, secondary supervisor). Sediment Transport of Made Ground along Scottish Sites. 2024/10 – Present.
  • Haiyu Zhang (visiting PhD student). Six-month visit starting 16 August 2026.
  • Han Ting (Former visiting PhD student, Sun Yat-sen University) Towards a new era of Geo-Foundation Models. 2025/10 – 2026/04.
  • Shiqi Wang (Former external PhD student, Hong Kong University of Science and Technology - Guangzhou). Measuring Spatial Bias & Exploring Spatial Heterogeneity Understanding of AI for Urban Perception. 2024/10 – 2025/10.

Masters/Undergraduate Supervisor

  • 2026 (8 Master’s students; GeoAI and Remote Sensing for Environmental Sustainability and Urban Analytics);
  • 2025 (9 Master’s students; 1 nominated for 2025 RGS-IBG GIScience Research Group Dissertation Award; Ground-level LiDAR + RGB + Infrared for Urban Analytics);
  • Hanyi Xiong (Former visiting Undergraduate, University of Hong Kong). Enhancing Image Geo-localisation via GeoAI-empowered Foundation Models. 2025/02 – 2025/09.

University of Wisconsin-Madison, Madison, WI · 2017 - 2019, 2021 – 2024

Instructor & Teaching Assistant, Department of Geography

Avg. teaching rate: 4.5/5.0 (Top 5%)

  • Geog 574 Geospatial Database Design and Development, autumn 2023 & autumn 2017 (In-person; 50 graduates & undergraduates); spring 2019 (Online; 50 graduates from UW-Madison GIS Professional Programs)
  • Geog 170 Intro of GIScience and its Technology, spring 2021 & spring 2024 (Online; 485 undergraduates)
  • Geog 576 Web Interactive Mapping & Geovisualization, spring 2019 (Online; 50 graduates from UW-Madison GIS Professional Programs)
  • Geog 370 Introduction to Cartography, autumn 2018 (In-person; 80 graduates & undergraduates)
  • Geog 578 GIS Applications, spring 2018 (In-person; 50 graduates & undergraduates)

Graduate research advising

  • Mingda Wu. Pixel-wise Wildfire Burn Severity Classification with Bi-temporal Sentinel-2 Data and Deep Learning. 2022/09 – present.
  • Tang Sui. Empowering Urban Wildfire Burnt Area Detection with Deep Learning. 2022/08 – present.
  • Yang Qiu. Using deep learning to predict neighborhood wealthiness based on street view images. 2022/05 – 2024/12.
  • Yuehan Qin. Big data mining on social media data (tweets) for human mobility using unsupervised machine learning - Latent Dirichlet Allocation Model. 2018/08 – 2019/05