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Tuesday June 16, 2026 6:30pm - 8:30pm EDT
Students
Jayanta Biswas, UNC Charlotte: A Deep Learning Framework for Fusing Multi-Modal Environmental Data to Downscale Human Mobility for Precision Malaria Modeling in Zambia
Arati Budhathoki, Clemson Univ.: Tracking Mountain Degradation for the United Nations (UN) Sustainable Development Goals (SDGs) Using the State of Colorado (USA) as an Example
Sofiia Drozd, NTUU KPI: Agentic AI Framework for Automated Mapping of War-Damaged Agricultural Risk Zones and Satellite Data Retrieval
Paul C. Dunn, Oregon State Univ.: Improving Multiscale Pattern–Process Analysis with a Eulerian-Lagrangian Flow Model and Uncertainty Aware Clustering Analysis
Maxwell Gundling, Salisbury Univ.: From Silos to Spatial Data: An Enterprise GIS for Historical Research
Fatemeh Janatabadi, George Mason Univ.: Artificial Intelligence Drives a New Feedback Loop Between Human Mobility and Urban Landscapes
Siyu Lu, Texas A&M Univ.: Deep Learning versus Traditional Interpolation for Elevation Reconstruction: Evaluating Performance Gains from Terrain-Based Auxiliary Variables
Oliver Matus-Bond, Macalester College: Mapping the spatial relationship between invasive Melaleuca quinquenervia and fire occurrence in southeastern Madagascar
Haley Mullen, Univ. of Maryland: LLM-based generation of geospatial synthetic data for predicting chronic disease
Hossein Naderi, Texas A&M Univ.–Corpus Christi: Using Large Language Models to Quantify Urban Environments from Google Street View
Zahra Salehi, Univ. of Connecticut: Spatial Intelligence for Agrivoltaic Land Suitability: A GIS-Based Multi-Criteria Decision Framework in Connecticut
Rachel Simon, Salisbury Univ.: From Surface to Subsurface: Mapping Cemeteries in Dorchester County, Maryland
Daryna Skakun, Urbana High School: Agentic AI for Environmental Impact Assessment of Construction Projects Using Satellite Data
Ruichen Wang, Univ. of Maryland: Coincident Data Discovery Engine (CoDD): Enabling Global Cross-Platform Satellite Data Discovery
Zhihao Wang, Univ. of Maryland: CarbonGlobe: A Global ML-Ready Benchmrk for Long-Term Carbon Forecasting Under Climate Change

Faculty & Other
Wataru Morioka, Salisbury Univ.: Spatial Thinking–Centered GIS Curriculum: Problem Solving, Collaboration, and AI Era Pedagogy at Salisbury University

Tuesday June 16, 2026 6:30pm - 8:30pm EDT
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Attendees (1)


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