Fangzheng Lyu, PhD
I am an Assistant Professor in the Department of Geography at Virginia Tech and Director of GeoCompute Lab. I received a Ph.D. in Geography, an M.S. in Geography from the University of Illinois Urbana-Champaign, and a B.E. in Computer Engineering from the University of Hong Kong. I currently serve as Chair for the Cyberinfrastructure Specialty Group at the American Association of Geographers and on the editorial board for the Annals of the American Association of Geographers. My research program has been funded by United States National Science Foundation, Virginia Center for Health Innovation, NSF ACCESS and Virginia Tech; see my ongoing and past projects.
I develops scalable geospatial computing and AI methods to transform big spatial data into actionable knowledge for environmental, societal, and infrastructure challenges. Specifically, my research work focuses on: 1) Computational Urban Geography. I apply geospatial computing to understand how cities change and how urban environments affect people. Integrating geospatial computing, advanced modeling (e.g., AI, large-scale simulation) and heterogeneous geospatial urban big data (e.g., street view imagery, satellite observations, sensor networks, VGI data), we investigate different urban dynamics topics (e.g., urban changes, heat exposure, spatial accessibility); 2) Efficient and Scalable Geospatial Algorithm/Model. I develop and optimize algorithms for computational-intensive geospatial problems. By integrating spatial algorithm design, AI, and advanced cyberinfrastructure, I improve how geospatial data are processed, analyzed, and modeled; and 3) Geocomputing Infrastructure. I investigate the cyberinfrastructure and data infrastructure needed to support scalable geospatial research. My work examines how computing resources, data formats, storage systems, and software environments support the management and analysis of large, diverse geospatial datasets and develop open-source tools and reproducible workflows to make advanced geospatial computing more efficient and accessible.
I am actively recruiting undergraduate, Master’s, and PhD students to join my group. I am looking for motivated PhD students in Geospatial Data Science and GeoAI to join in Fall 2027 (fully funded by Research Assistantship) & master's students in Spring & Fall 2027 (fully funded by Teaching Assistantship). Please contact me at fangzheng@vt.edu if you are interested.
Recent News
- 2026.10.29 - My Co-PI project CITY-AI: CyberTraining for AI-Enabled Intelligent Urban Informatics and Smart City Innovation is funded by NSF ACCESS (20,000 SUs; NSF ACCESS-SOC260109). PI: Alex Michels; Co-PI: Fangzheng Lyu
- 2026.10.9 - I presented at ACSP 2026 in Pittsburgh, PA.
- 2026.10.3 - I presented at CGA 20th Anniversary Annual Conference in Cambridge, MA.
- 2026.10.1 - My Co-PI project Identifying Opportunities to Improve Type 2 Diabetes Care in Virginia: An All-Payer Claims Analysis is funded by Virginia Center for Health Innovation ($40,000). PI: Zhang, M.; Co-PI: Eberth, J., Lyu, F.
- 2026.9.15 - Check out new paper VLM4S: A Vision‐Language Model Framework for Geographically and Environmentally Informed Soundscape Assessment published in Transactions in GIS.
- 2026.7.27 - My PI project CyberTraining: Implementation: Small: CITY-AI: CyberTraining for AI-Enabled Intelligent Urban Informatics and Smart City Innovation is funded by NSF ($494,994; NSF OAC-2612144). PI: Fangzheng Lyu; Co-PI: Alex Michels, Carol Song
- 2026.6.15 - I am serving in the editoral board for Annals of the American Association of Geographers
- 2026.6.5 - The GeoCompute Lab team (Raj & Fangzheng) wins first place in Spatial AI Challenge
- 2026.6.1 - Check out new paper Customized decision-making support per location’s characteristics of spatial accessibility: A case study of emergency healthcare in New York City published in Computer, Environment and Urban Systems
- 2026.5.15 - Check out new paper FG-TreeSeg: Flow-Guided Tree Crown Segmentation without Instance Annotations published in IEEE Geoscience and Remote Sensing Letters
- 2026.3.20 - I am serving as Chair for AAG Cyberinfrastructure Specialty Group.
- 2026.3.28 - Check out new paper Does stadium construction drive surrounding urban development? Evidence from spatiotemporal impacts of large-scale stadiums in China published in Applied Geography
- 2026.3.17 - I presented at AAG 2026 in San Francisco, CA.
- 2026.3.3 - Check out my paper Converging high-performance computing and machine learning for geospatial discovery and innovation published in Annals of GIS
- 2025.8.4 - Check out my paper A Video Machine Learning Framework for Spatiotemporal Analysis of Complex Urban Dynamics published in Transactions in GIS
- 2025.7.31 - Check out my new book chapter Converging GeoAI and CyberGIS for Human Geography published in Springer Book GeoAI and Human Geography
- 2025.7.15 - Check out my new paper Evaluating the Evaluation Matrices: Integrating Spatial Assessment in Geospatial AI Model Training and Evaluation published in I-GUIDE Forum 2025
- 2025.6.30 - My PI project AI-driven Quantification, Detection, and Analysis of Urban Retrofitting is funded by NSF ACCESS (20,000 SUs; NSF ACCESS-CIS250619). PI: Fangzheng Lyu
- 2025.6.19 - I presented at I-GUIDE Forum in Chicago, IL
- 2025.3.27 - I presented at AAG 2025 in Detroit, MI
- 2025.1.3 - Check out my new paper Revitalizing Cities: The 5R Framework Approach to Urban Retrofitting and Big Data Insights published in Growth and Change
- 2024.12.12 - I presented at AGU 2024 in Washington DC
- 2024.11.25 - Check out my new paper Multi-stream STGAN: A Spatiotemporal Image Fusion Model with Improved Temporal Transferability published in IEEE JSTARS
- 2024.10.15 - Check out my new paper A Convergence Framework for Integrating CyberGIS Education and Research on I-GUIDE Platform I-GUIDE Forum
- 2024.10.15 - I presented at the I-GUIDE forum 2024
- 2024.8.10 - I started a new position as an assistant professor at the Department of Geography at Virginia Tech
- 2024.7.17 - Check out my new paper NetPointLib: Library for Large-Scale Spatial Network Point Data Fusion and Analysis published in PEARC2024
- 2024.6.13 - Check out my new paper From Individual Motivation to Geospatial Epidemiology: A Novel Approach Using Fuzzy Cognitive Maps and Agent-Based Modeling for Large-Scale Disease Spread published in Sustainability
- 2024.4.20 - Check out my new paper Mapping dynamic human sentiments of heat exposure with location-based social media data published in IJGIS
