Omada Friday Ojonugwa, Beihang Univ.: Multi-Sensor Fusion for Soil Moisture Estimation in West Africa using Ensemble Learning Paul C. Dunn, Oregon State Univ.: Retrieval-Augmented 4D Visualization for a Digital Twin of the Ocean: Improving Multiscale Pattern–Process Analysis with Generative AI, Reinforcement Learning, and Heterogeneous I/O Youshuang Hu, Univ. of Connecticut: GISc for Social Equity: Unpacking the Black Box of Multidimensional Impact of Structural Racism and Discrimination
Yue Liu, Auburn Univ.: A Graph Neural Network Approach for Spatial Prediction of Urban Heat Islands Hafiz Tayyab Khattak, Auburn Univ.: Integrating Deep Learning and GIS for High-Resolution Flood Susceptibility Mapping Zihan Chen, UC Santa Barbara: Spatiotemporal Modeling of Wildfire Risk Using GeoAI Techniques Rishabh Sachdeva, Univ. of Florida: A Hybrid Machine Learning Framework for Land Use Change Detection
Shirin Alsadat Mahmoudian, George Mason Univ.: Generative AI for Urban Infrastructure Auditing: A Micro-scale Evaluation of Multimodal Transit Environments Isaac Quaye, Temple Univ.: Explainability of DL-based Gentrification Detection from Street View Imagery Jon Nealon, SUNY Albany: Beyond the God's Eye View: The Hot Air Balloon Perspective in Geospatial Journalism
Hailey Richardson, Univ. of Alabama: Understanding the Impact of Spatial Relationship Definitions on Crime Clustering Analysis: Implications for Urban Crime Patterns and Policing Strategies Youshuang Hu, Univ. of Connecticut: GIScience for Social Equity: Unpacking the Black Box of Spatial Inequality Yuán Niú, Texas A&M Univ.: A Spatial Decision-Support Tool to Enhance Participatory Planning for Urban Heat Resilience Madhukar Kuchavaram, Univ. of Florida: Spatiotemporal Forecasting for Proactive Vector Control
Sergii Skakun, Univ. of Maryland: ON THE INFERENCE FROM SATELLITE-BASED CLASSIFICATION MAPS FOR AREA ESTIMATION Luyu Liu, Texas A&M Univ.: Disentangling and Tackling the Spatiotemporal Biases in Social Sensing Data: A Cognitive-behavioral Approach Jielu Zhang, Harvard Univ.: SpatialCausal: a spatially-aware causal inference deep learning model for out-of-hospital cardiac arrest survival prediction Mehak Sachdeva, Florida State Univ.: Simulating the Precursor: Generative AI and Counterfactual Scenario Modeling of Partisan Mobility and Spatial Segregation
Wednesday June 17, 2026 10:30am - 12:00pm EDT Room A
Full Research Presentations Somayeh Dodge, UC Santa Barbara: What Mobile Location Data Can Tell Us About Nature Exposure? Isaac Rand, Federal Reserve Bank of Philadelphia: Automated Digitization of the Censuses of Housing Block Statistics, 1940-1970
Lightning Talks Xuebin Wei, James Madison Univ.: Building an AI Teaching Stack for GeoAI Education Peter Kedron, UC Santa Barbara: Spatial Reasoning and identification in Causal Inference Lei Song, Rutgers Univ.: Explainable AI Reveals How Precipitation Modulates Thermal Effects Across Vertebrates Elizabeth Newnam, Temple Univ.: Effects of NDVI Exposure on Cannabis Use Disorder Treatment
Wednesday June 17, 2026 1:30pm - 3:00pm EDT Room A
Ju He, Florida State Univ.: Estimating the Continuous Causal Effect of Spatial Distance on Outcomes Chen Zhang, Univ. of Connecticut: CASTED: Calibrated Anomaly-based Spatial-Temporal Event Detection Framework for Anomaly Detection in Resilience Curves Farnoosh Roozkhosh, Univ. of Georgia: Context-Augmented GeoAI for Public EV Charging: Predicting When and Where Charging Occurs Tongwei Xu, Univ. of Washington: The Geography of “AI Slop”: An Embedding-Based Spatial Analysis of AI-Generated Music Tang Sui, Univ. of Wisconsin–Madison: FireST-GraphNet: Wildfire Progression Prediction via a Temporal Graph Neural Network with Sequence Learning
Wednesday June 17, 2026 3:30pm - 5:00pm EDT Room A
