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The following bibliography contains all publications indexed in this database that are linked with this name as either author, editor or any other kind of contributor.

  1. Kim, SangYoun / Tariq, Shahzeb / Chang, Roberto / Ali, Usama / Ba-Alawi, Abdulrahman H. / Heo, SungKu / Yoo, ChangKyoo (2025): Corrigendum to “Explainable AI-driven high-fidelity IAQ prediction (HiFi-IAQ) model for subway stations: Spatiotemporal outdoor air quality interpolation using geographic data”. In: Building and Environment, v. 267 (January 2025).

    https://doi.org/10.1016/j.buildenv.2024.112220

  2. Jeong, ChanHyeok / Heo, SungKu / Woo, TaeYong / Kim, SangYoun / Yoo, ChangKyoo (2024): AI-driven ventilation control policy proximal optimization coupled with dynamic-informed real-time model calibration for healthy and sustainable indoor PM2.5 management. In: Energy and Buildings, v. 323 (November 2024).

    https://doi.org/10.1016/j.enbuild.2024.114786

  3. Kim, SangYoun / Tariq, Shahzeb / Chang, Roberto / Ali, Usama / Ba-Alawi, Abdulrahman H. / Heo, SungKu / Yoo, ChangKyoo (2024): Explainable AI-driven high-fidelity IAQ prediction (HiFi-IAQ) model for subway stations: Spatiotemporal outdoor air quality interpolation using geographic data. In: Building and Environment, v. 263 (September 2024).

    https://doi.org/10.1016/j.buildenv.2024.111906

  4. Tariq, Shahzeb / Tariq, Shahroz / Kim, SangYoun / Woo, Simon S. / Yoo, ChangKyoo (2023): Distance adaptive graph convolutional gated network-based smart air quality monitoring and health risk prediction in sensor-devoid urban areas. In: Sustainable Cities and Society, v. 91 (April 2023).

    https://doi.org/10.1016/j.scs.2023.104445

  5. Tariq, Shahzeb / Loy-Benitez, Jorge / Nam, Kijeon / Kim, SangYoun / Kim, MinJeong / Yoo, ChangKyoo (2023): Deep-AI soft sensor for sustainable health risk monitoring and control of fine particulate matter at sensor devoid underground spaces: A zero-shot transfer learning approach. In: Tunnelling and Underground Space Technology, v. 131 (January 2023).

    https://doi.org/10.1016/j.tust.2022.104843

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