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๊ตํ†ต๋ถ„์•ผ ๊ธ€๋กœ๋ฒŒ ์ธ์žฌ ์–‘์„ฑ
์•ัซฃผ๋Œถฤว๊™๊ต ๊ตํ†ต์‹ตำŠคํ…œ๊ณตว๊™๊ณผ

EMI LAB

์—ฐ๊ตฌ์„ฑ๊ณผ
์—ฐ๊ตฌ์‹ค์ 
  • 2024.4~2025.8 ๊ณ ์†๋„๋กœ์˜ ๋ชจ๋นŒ๋ฆฌํ‹ฐ ํ˜์‹  ์„œ๋น„์Šค ๋ชจ๋ธ ๊ตฌ์ถ• ์ „๋žต ์ˆ˜๋ฆฝ์—ฐ๊ตฌ(ํ•œ๊ตญ๋„๋กœ๊ณต์‚ฌ)
  • 2024.01~ 2024.06 ๊ตํ†ต ์‹œ๋ฎฌ๋ ˆ์ด์…˜์„ ์œ„ํ•œ DRT ํ†ตํ–‰ ๋ฐœ์ƒ ๋ชจ๋ธ ๊ฐœ๋ฐœ(Studio G)
  • 2023.06 ~ 2024.11 ๊ณ ์†๋„๋กœ ์„ผ์„œ ๋ฏธ์„ค์น˜ ๊ตฌ๊ฐ„ ๊ตํ†ต์ •๋ณด ์ƒ์„ฑ์„ ์œ„ํ•œ ๋ฉ€ํ‹ฐ๋ชจ๋‹ฌ ๋”ฅ๋Ÿฌ๋‹ ๊ฐœ๋ฐœ ๋ฐ ์ ์šฉ(ํ•œ๊ตญ๋„๋กœ๊ณต์‚ฌ์—ฐ๊ตฌ์›)
  • 2023.6~2025.02 ํ™œ๋™ ๊ธฐ๋ฐ˜ ๊ตํ†ต์ˆ˜์š” ์˜ˆ์ธก์„ ์œ„ํ•ด ๋ชจ๋นŒ๋ฆฌํ‹ฐ ๋ฐ์ดํ„ฐ๋ฅผ ์œตํ•ฉํ•˜๋Š” ์ƒ์„ฑํ˜• ์ธ๊ณต์ง€๋Šฅ(ํ•œ๊ตญ์—ฐ๊ตฌ์žฌ๋‹จ)

์—ฐ๊ตฌํ™œ๋™
    ๊ตญ์ œ ํ•™์ˆ ์ง€(SCI(E) Journal
      2024ิฦ„
      • Kim, E.J., Bansal, P.*, 2024. A New Flexible and Partially Monotonic Discrete Choice Model, Transportation Research Part B: Methodological
      • Bansal, P., Kim, E.J., and Ozdemir, S., 2024. Discrete Choice Experiments with Eye-Tracking: How Far We Have Come and Ways Forward. Journal of Choice Modelling
      • Kim, E.J., Kang, M.J., Park, S.*, 2024. Deep Survival Analysis Model for Incident Clearance Time Prediction. Journal of Intelligent Transportation System
      2023ิฦ„
      • Joo, Y.J., Kim, E.J., Kim, D.K.*, Park, P.Y., 2023. A Generalized Driving Risk Assessment on High-Speed Highways Using Field Theory. Analytic Methods in Accident Research
      • Kim, E.J., Bansal, P.*, 2023. A Deep Generative Model for Feasible and Diverse Population Synthesis. Transportation Research Part C: Emerging Technologies
    ๊ตญ์ œ ํ•™์ˆ  ๋ฐœํ‘œ
    • Ding, J., Kim, E.J., Maksimenko, V., Yu, J., Bansal, P.* Can Decoy Effects Nudge Ridehailing Drivers’ Preferences to Adopt Electric Vehicles? 103rd Transportation Research Board Annual Meeting, January 7-11, 2024, Washington, DC.
    • Ham, S.W., Kim, E.J., Kim, D.K.* Establishing an Index on Adjacent Network Impact for Extensive Understanding of a Link in Urban Networks. 103rd Transportation Research Board Annual Meeting, January 7-11, 2024, Washington, DC.
    • Vo, K., Kim, E.J., Bansal, P.* A Novel Data Fusion Method to Leverage Passively Collected Mobility Data in Generating Spatially Heterogeneous Synthetic Population. 103rd Transportation Research Board Annual Meeting, January 7-11, 2024, Washington, DC.
    • Kwon, D., Kim, E.J., Kim, I.* Customized Deep Generative Models to Resolve the Sampling Bias in Population Synthesis. 103rd Transportation Research Board Annual Meeting, January 7-11, 2024, Washington, DC.
    • Huo, J., Kim, E.J., Bansal, P.* Understanding Singaporeans' Preferences for Electric Vehicles: Insights from a Latent Class Model with Attribute Cutoffs. 103rd Transportation Research Board Annual Meeting, January 7-11, 2024, Washington, DC.
    • Kim, E.J., Bansal, P.* A New Flexible and Interpretable Choice Model with Monotonicity Constraints, Non-linearity, and Taste Heterogeneity. 11th hEART 2023 Symposium, September 6-8, 2023, Zurich.
    • Joo, Y.J., Kim, E.J., Kim, D.K.*, Park, P.Y. A Risk Field-based Approach for Driving Risk Assessment: Focusing on the Generalized and Realtime Application. 102nd Transportation Research Board Annual Meeting, January 8-12, 2023, Washington, DC.