
Cultural Ecosystem Services
Foundation vision–language models and social media imagery reveal patterns of human–nature interaction.
Foundation models · Ecosystem services
Explore this research →WELCOME TO MY RESEARCH PORTFOLIO
Postdoctoral Associate | Institute of Food and Agricultural Sciences (IFAS) | University of Florida
Artificial intelligence and geospatial information for understanding human–environment interactions and supporting sustainable, intelligent systems.
I am currently a Postdoctoral Associate at the University of Florida, where I develop data-driven computational frameworks using multimodal foundation models, remote sensing, and geospatial information to study human–environment interactions and support sustainability-oriented decision-making. I earned my Ph.D. in Environmental Engineering Sciences from the University of Florida, along with a graduate certificate in machine learning, and my research has focused on intelligent systems that integrate machine learning, sensor data, and optimization for applications in sustainable manufacturing, human–robot collaboration, safety evaluation, and environmental analysis.
My research has been recognized with the DFMLC Best Paper Award and the UF Postdoctoral Travel Award. I have completed 47 verified academic peer reviews across 20 journals spanning robotics, AI, and environmental science.
Explore GeoAI, Robotics and Hydroinformatics, or open the full research explorer.
RESEARCH IN FOCUS
From landscapes to collaborative systems.

Foundation vision–language models and social media imagery reveal patterns of human–nature interaction.
Foundation models · Ecosystem services
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Earth observation and AI support repeatable mapping of individual urban trees and their structural attributes.
Remote sensing · Urban ecosystems
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Web-based visual analytics translate ecosystem service patterns into interactive maps and decision support.
GeoAI · Spatial analytics
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Repairability assessment and robotic disassembly planning support sustainable remanufacturing.
Robotics · Human–robot collaboration
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Data-driven models and rainfall threshold optimization support urban flood early warning.
Machine learning · Flood warning
Explore this research →ACADEMIC HIGHLIGHTS
Recognition for research on disassembly scoring for human–robot collaboration.
Related publication →Postdoctoral GeoAI research at the Institute of Food and Agricultural Sciences (IFAS), spanning multimodal foundation models, remote sensing, and environmental systems.
Guest lectures at UF and NC State, undergraduate and graduate GeoAI mentoring, and award-recognized high school mentorship.
Teaching & mentoring →NEWS & RESEARCH UPDATES
Book chapter in Data-Driven Earth Observation for Disaster Management.
Journal article in Geoderma, 473, 118004.
Journal article in Ergonomics.
I have completed 47 verified academic peer reviews across 20 journals and also serve as a conference reviewer:
Chair & Early Career Convener, GeoAI for Ecosystem Services and Biodiversity (GC31H), AGU Fall Meeting 2025. Full Member of Sigma Xi, elected 2026.