Sumin Han (Immanuel) πŸ”₯
Sumin Han (Immanuel)

Ph.D. / Catholic

About Me

Dr. Sumin Han, Ph.D. from KAIST, is an AI researcher specializing in deep learning and spatiotemporal prediction, with a focus on urban human activity analysis for real-time traffic forecasting. Skilled in Python, C/C++, and Java, Sumin has published at top international conferences, won awards for AI-driven innovations, and holds patents on predictive modeling. Recognized in multiple hackathons and competitions, they are committed to bridging technology and society through impactful AI solutions for urban planning and smart cities.

E-mail: suminkaist@gmail.com, Instagram: @smhan.lab

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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

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Featured Publications
Recent Blog Post
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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