Earth system science · Geospatial AI

Zhihao Wang

Postdoctoral Researcher

Portrait of Zhihao Wang

Building reliable AI for a changing Earth

I am a Postdoctoral Researcher in the Department of Geographical Sciences at the University of Maryland, College Park, where I received my Ph.D. under the supervision of Dr. Yiqun Xie. My research lies at the intersection of Earth system science and deep learning, with a focus on AI emulations, world models, geo-foundation models, satellite remote sensing, and physics-based modeling. I aim to develop scalable and reliable AI methods for addressing critical Earth science challenges, including biosphere modeling, ecosystem dynamics, and large-scale Earth monitoring and forecasting.

I earned my Master’s degree in Geography at The Ohio State University under the supervision of Dr. Desheng Liu. Previously, I graduated from a dual-degree program, receiving a B.E.S. in Honors Geomatics and a Minor in Computer Science from the University of Waterloo, Canada, and a B.E. in Remote Sensing Science and Technology from Wuhan University, China.

News

Research milestones, awards, and announcements.

Aug 2026

My first-author paper was accepted to ACM SIGSPATIAL 2026.

Jun 2026

I won first place in the Student Lightning Talks competition organized by the University Consortium for Geographic Information Science (UCGIS).

May 2026

I earned my Ph.D. from the University of Maryland. 🎉

Feb 2026

I received the Outstanding Graduate Assistant Award (Top 2%) from the University of Maryland.

Oct 2025

I received a Scholar Award from NeurIPS 2025.

Oct 2025

A paper coauthored with a high school student I mentored was accepted to the ICDM 2025 High School Track.

Sep 2025

Two of my first-author papers were accepted to NeurIPS 2025.

Dec 2023

I received a $1,200 student scholarship for AAAI 2024.

Dec 2023

My first-author paper was accepted to AAAI 2024.

Oct 2023

I received a $1,000 travel award for the SIGSPATIAL 2023 GISCup competition.

Sep 2023

My first-author paper was accepted to ACM SIGSPATIAL 2023.

Publications

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Conference Journal * Equal contribution and joint lead authorship

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Teaching

Instructor

  • GEOG 276

    Principles of Python Programming and Geocomputing

    University of Maryland

Guest Lectures

  • GEOG 788T

    Deep Learning for Spatial and Spatio-Temporal Data

    University of Maryland

  • GEOG 398E

    Introduction to Spatial Artificial Intelligence

    University of Maryland

Teaching Assistant

  • GEOG 140

    Natural Disaster

    University of Maryland

  • GEOG 5210

    Fundamentals of GIS

    The Ohio State University

  • GEOG 5201

    Geo-visualization

    The Ohio State University

  • GEOG 5225

    Geographic Applications of Remote Sensing

    The Ohio State University

  • GEOG 5226

    Spatial Simulation and Modeling in GIS

    The Ohio State University

Service

Workshop Organization

5th ACM SIGSPATIAL International Workshop on Spatial Big Data and AI for Industrial Applications

GeoIndustry · Workshop Organization Committee

2026

4th ACM SIGSPATIAL International Workshop on Spatial Big Data and AI for Industrial Applications

GeoIndustry · Workshop Organization Committee

2025

Student Mentoring

  • Cooper Li

    Montgomery Blair High School

    IEEE ICDM 2025 publication & Rising Star Award
    2024-2025
  • Krish Pruthi

    Poolesville High School

    2025
  • Peter Jin

    James M. Bennett High School

    2025

Peer Review

  • Remote Sensing of Environment
  • IEEE Transactions on Geoscience & Remote Sensing
  • International Journal of Applied Earth Observation and Geoinformation
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • Neurocomputing
  • GIScience & Remote Sensing
  • International Journal of Digital Earth
  • Scientific Reports
  • ACM Transactions on Knowledge Discovery from Data
  • Humanities & Social Sciences Communications
  • Global Transitions
  • European Journal of Remote Sensing
  • Environmental Monitoring and Assessment
  • Natural Hazards
  • GeoInformatica
  • AAAI '26-'27
  • KDD '25 (Cycle 2) and '26 (Cycle 1)
  • NeurIPS '26
  • SIGSPATIAL '25-'26
  • SIGSPATIAL UMFM '26
  • IEEE BigData '25
Under advisor guidance
  • AAAI '23-'25
  • IJCAI '23-'25
  • KDD '25
  • SIGSPATIAL '23-'24
  • ICDM '25
  • IEEE BigData '24
  • SDM '23