معرفی
Dr. Xinyi Shen is an Assistant Professor at the School of Freshwater Sciences, University of Wisconsin-Milwaukee, specializing in flood-inundation modeling, remote sensing, and AI applications for natural hazards. His research integrates hydrological modeling with climate change studies to develop predictive tools for disaster management.
Education:
- PhD, Institute of Remote Sensing and GIS, Peking University, 2012
- BS, School of Remote Sensing and Information Engineering, Wuhan University, 2007
Research Interests: Dr. Shen explores human-disaster interactions under climate change, flood modeling via remote sensing, AI applications in natural hazards, and desert biodiversity. His work emphasizes practical solutions for environmental challenges using advanced geospatial technologies.
Publication Trends: Recent articles focus on SAR-based flood mapping, AI-driven predictive modeling, and climate impact assessments. Research demonstrates innovation in real-time flood monitoring, fire severity prediction, and multi-sensor data integration.
Grants:
- NOAA/NESDIS CIGLR: Near-Real-Time Flood Observing (2022-2025, $480,000, PI)
- NASA ROSES-A.7: TraitsCape - Microrefugia in Fynbos (2022-2025, $200,000, CoI)
- Berkshire Valley Association: Climate-Resilient Road/Stream Crossings (2022-2023, $21,000, PI)
- National Center for Meteorology: Weather Forecast Improvement (2022-2024, $320,000, CoI)
- NSF: Near-Term Forecasts of Global Plant Distribution (2020-2022, $443,592, Senior Personnel)
Lab Leadership: Directs the Hydro-Intelligence Lab, providing flood maps to International Disaster Charters and advancing SAR-based environmental monitoring.
