Natural hazard monitoring and risk assessment
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School of Safety Science, Tsinghua University
Huang Feng
Natural hazard risk sensing, remote sensing intelligence, and large-model applications
My research focuses on natural hazard monitoring, risk assessment, disaster information extraction, and LLM-assisted decision support. I work across floods, typhoons, earthquakes, landslides, wildfires, and extreme weather, combining remote sensing/GIS, multi-source spatiotemporal data fusion, machine learning, and large language models to connect hazard science, observations, and interactive intelligent systems.
Research Areas
Remote sensing imagery, GIS, and multi-source spatiotemporal data fusion
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LLMs for disaster information extraction, question answering, and decision support
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Extreme weather, floods, typhoons, earthquakes, landslides, and wildfire analysis
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Intelligent knowledge management for papers, reports, and emergency text
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Education
- Ph.D./M.S./B.S., discipline and university to be added
- Research direction: natural hazards, geographic information science, remote sensing, AI, or related interdisciplinary fields
Experience
- Research experience in natural hazard risk assessment and disaster data analysis to be added
- Experience in remote sensing/GIS processing, machine learning modelling, and LLM application development to be added
- Projects, publications, conferences, and collaborations to be added
Selected Publications
- Selected paper 1: natural hazard monitoring, risk assessment, or LLM application, journal, year
- Selected paper 2: remote sensing, GIS, or multi-source data fusion, journal, year
- Selected paper 3: disaster emergency information extraction, knowledge base, or intelligent QA, journal, year