Kyoto University of Advanced Science · Faculty of Bio-Environmental Science · 准教授

Research keywords環境情報学・人工知能・大気質・地理空間情報・水文学

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• 1.Wong, Y.J. *, Yeganeh, A., Chia, M.Y., Shiu, H.Y., Ooi, M.C.G., Chang, J.H.W., Shimizu, Y., Ryosuke, H., Try, S. and Elbeltagi, A., 2023. Quantification of COVID-19 impacts on NO2 and O3: Systematic model selection and hyperparameter optimization on AI-based meteorological-normalization methods. Atmospheric Environment, 301, p.119677.2023
• 2.Wong, Y. J.*, Shiu, H., Chang, J.H.H., Ooi, M.C.G., Li, H., Homma, R., et al. (2022) Spatiotemporal impact of COVID-19 on Taiwan air quality in the absence of a lockdown: Influence of urban public transportation use and meteorological conditions. Journal of Cleaner Production, 365, 1328932022
• 3.Wong, Y. J.*, Nakayama, R., Shimizu, Y., Kamiya, A., Shen, S., Muhammad Rashid, I.Z., et al. (2021) Toward industrial revolution 4.0: Development, validation, and application of 3D-printed IoT-based water quality monitoring system. Journal of Cleaner Production, 324, 1292302021
• Wong, Y. J., Arumugasamy, S. K., & Jewaratnam, J. (2018). Performance comparison of feedforward neural network training algorithms in modeling for synthesis of polycaprolactone via biopolymerization. Clean Technologies and Environmental Policy, 20(9), 1971-1986. https://doi.org/10.1007/s10098-018-1577-4 Journal Papers (co-authors)- Peer Reviewed2018

• COP26グローバル気候誓約: マレーシアにおけるメタン排出に関する透明性の向上、社会的関与の推進と進捗の促進
• 3DプリントされたIoTベースの水質モニタリングシステムの耐久性と精度の向上と開発
• 3Dプリンターを利用したIoT水質監視装置の開発・検証と適用：IR4.0に向けて
• 次世代生物学的排水処理技術の革新：AIによる生物反応システムの把握と能動的制御

• Official profile