Sumin Han (Immanuel) 🔥
Sumin Han (Immanuel)

Ph.D. / Catholic

About Me

Dr. Sumin Han, a Ph.D. graduate from KAIST, is a computer scientist specializing in AI, deep learning, and spatiotemporal data prediction, with a focus on urban human activity analysis for real-time traffic forecasting and urban planning. With expertise in C/C++, Java, and Python, they have published research in top international conferences, received awards for innovative AI-driven projects, and secured patents for predictive models and advanced data analysis techniques. Recognized for excellence in hackathons and competitions, Sumin is dedicated to bridging technology and societal needs, striving to develop impactful AI solutions that enhance urban systems and drive real-world advancements.

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Interests
  • Traffic Prediction
  • Urban Computing
  • GeoSpatial AI
Education
  • Ph.D. Computer Science

    KAIST

  • B.S. Computer Science

    KAIST

  • School for Gifted Science Students

    Korea Science Academy of KAIST

Featured Publications
Recent Publications
(2025). Urban Vibrancy Embedding and Application on Traffic Prediction. IEEE BigComp 2025.
(2024). Multiple Area Feature-aware Spatio-temporal Public Transit Prediction. Arxiv.
(2023). Improving Real Estate Appraisal with POI Integration and Areal Embedding. PAKDD-WS.
(2023). *Enhancing Spatiotemporal Traffic Prediction through Urban Human Activity Analysis. CIKM.
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