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Xinyue Ye 封面图

Xinyue Ye

the university of alabamaCo-editor邮箱:xye10@ua.edu
H指数:61
被引数:1.3万

个人简介

The Endowed Shelby Distinguished Professor of GeoAI (Geospatial AI) at the University of Alabama. Before joining the University of Alabama, the scholar held several roles at Texas A&M University (TAMU), including Harold Adams Endowed Professor in Urban Informatics, Chancellor EDGES Fellow, and Stellar Faculty Provost Target Hire. The scholar's research integrates GeoAI with disciplines spanning the humanities to engineering, addressing challenges such as infrastructure resilience, extreme weather preparedness, urban revitalization, and community perceptions. The scholar was elected as a Fellow of the American Association of Geographers (AAG) in 2022. The scholar received the AAG Distinguished Scholar Award in 2025. The scholar was elected as a Fellow of the American Association for the Advancement of Science in 2025.

教育背景

  • 2010.12

    University of California at Santa Barbara PhD Geographic Information Science

工作经历

  • 2011.01 – 至今

    Annual Proceeding of International Conference on Geoinformatics supported by IEEE GRSS

    Co-editor

荣誉奖项

  1. Fellow of the American Association of Geographers (AAG)(2022)|American Association of Geographers
  2. AAG Distinguished Scholar Award(2025)|American Association of Geographers
  3. Fellow of the American Association for the Advancement of Science(2025)|American Association for the Advancement of Science
  4. National first-place research award(2011)|University Economic Development Association
  5. Emerging Scholar Award(2012)|AAG Regional Development and Planning Specialty Group
  6. Distinguished Scholar Award(2022)|AAG Regional Development and Planning Specialty Group
  7. J. Thomas Regan Interdisciplinary Prize(2024)|Texas A&M University
  8. Best Paper Award|Frontiers of Urban and Rural Planning (FURP), published by Springer
  9. Top 10 Most Cited Paper honor|Transactions in GIS
  10. Top 10 young scientists(2021)|World Geospatial Developers Conference
Rapid Damage Estimation Through Social Media Content with Geolocation Using Natural Language Processing: A Study of Historical Texas Tropical Storms

利用自然语言处理,通过带有地理位置的社会媒体内容快速估算灾害损失:一项关于得克萨斯州历史热带风暴的研究

2026-09-290
OAAI
2026-09-150
OAAI