Lei Zou
Scholar

Lei Zou

Google Scholar ID: VRndhQEAAAAJ
Associate Professor at Texas A&M University
GIScienceSocial SensingGeoAIDisaster ResiliencePublic Health
Citations & Impact
All-time
Citations
2,624
 
H-index
25
 
i10-index
43
 
Publications
20
 
Co-authors
19
list available
Resume (English only)
Academic Achievements
  • Vice chair of the Commission on Geospatial Analysis and Modeling of the International Cartographic Association (ICA), Academic Councilor for the Geographic Information Sciences & Systems (GISS) Group of the American Association of Geographers, Board member of the Cartography and Geographic Information Society, and member of the Research Committee, University Consortium for Geographic Information Science (UCGIS). Also serves on the editorial board of the International Journal of Digital Earth and is the topic editor & outreach group lead for the Big Earth Data journal.
Research Experience
  • Serves as PI/Co-PI on several projects funded by the National Science Foundation and Texas A&M University. Research themes cover: Big Geospatial Data and GeoAI for Disaster Management, Urban Digital Twins for Coastal Sustainability, Geospatial Approaches to Combating Health Crisis, CyberGIS for Resilience Computation and Visualization, GIScience for Humanities. Leads the GEAR Lab at TAMU and supervises five Ph.D. students and one master's student.
Education
  • Specific educational background information such as degrees, schools, advisors, and time periods not provided.
Background
  • Research interests include building a sustainable future for human communities in the changing environment through spatial thinking, novel data, and intelligent algorithms. Specializes in GIScience, GeoAI, Big Data, Urban Digital Twins, Disaster Resilience, Health GIS, etc.
Miscellany
  • Open to opportunities for students interested in joining his research team, welcoming those with an interest in GIScience, GeoAI, Big Data, urban digital twins, disaster resilience, health GIS, and integrated social-environmental system modeling.