Sulong Zhou

Human-Centered AI · LLMs · Urban Intelligence

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I am a postdoctoral researcher at the UrbanAI Lab at Texas A&M University. Previously, I received my Ph.D. from the University of Wisconsin-Madison.

I design and develope human-centered AI systems that integrate spatial, social, and multimodal data to support sustainable and resilient communities.

My work combines large language models, GeoAI, and UI/UX design to support disaster resilience, public health, and urban intelligence across floods 🌊, hurricanes 💨, wildfires 🔥, and extreme heat events ☀️.

I am interested in Research Scientist and Applied AI roles focused on human-centered and real-world AI systems.

selected publications

  1. wildfire_flow.png
    Revealing time-sensitive latent public health and emotional distress topics in Reddit discourse during the 2025 Southern California wildfires
    Sulong Zhou, Shaoheng Zhou, Aodong Mei, and 8 more authors
    International Journal of Disaster Risk Reduction, 2026
    LLM BERTopic Wildfire
  2. smart_mobile.jpg
    Advancing smart disaster response by leveraging social sensing and mobile technology
    Sulong Zhou, Meiliu Wu, Xinyue Ye, and 3 more authors
    Geo-spatial Information Science, 2025
    UI/UX Software Engineering Disaster Response
  3. hurricane_flow.png
    A guided latent Dirichlet allocation approach to investigate real-time latent topics of Twitter data during Hurricane Laura
    Sulong Zhou, Pengyu Kan, Qunying Huang, and 1 more author
    Journal of Information Science, 2023
    NLP LDA Hurricane