First author, SCI publications (*1st Co-first authorship)

Loy-Benitez, J., Lee, J., Song, M. K., Guerra, F. C., & Lee, S. S. (2026).  Recurrent normalizing flow-based monitoring framework for cutter seal temperature sensors in earth pressure balance shield tunneling: A sensor validation approach. Tunnelling and Underground Space Technology Incorporating Trenchless Technology Research, 169(July 2025), 107264. https://doi.org/10.1016/j.tust.2025.107264

Loy-Benitez, J., Lee, H., Song, M.K., Lee, J., Lee, S.S., 2024. Real-time unsupervised monitoring of earth pressure balance shield-induced sinkholes in mixed-face ground conditions via convolutional variational autoencoders. Tunn. Undergr. Sp. Technol. Inc. Trenchless Technol. Res. 152, 105908. https://doi.org/10.1016/j.tust.2024.105908

Loy-Benitez, J., Lee, H., Kyu, M., Choi, Y., Seungwon, S., 2024. Transfer component analysis-driven domain adaptation approach for estimating the life of tunnel boring machine disc cutters. Tunn. Undergr. Sp. Technol. Inc. Trenchless Technol. Res. 147, 105714. https://doi.org/10.1016/j.tust.2024.105714

Safder, U., Loy-Benitez, J.*, Yoo, C., 2024. Techno-economic assessment of a novel integrated multigeneration system to synthesize e-methanol and green hydrogen in a carbon-neutral context. Energy 290, 130104. https://doi.org/10.1016/j.energy.2023.130104

Loy-Benitez, J., Kyu, M., Choi, Y., Lee, J., Seungwon, S., 2024. Breaking new ground: Opportunities and challenges in tunnel boring machine operations with integrated management systems and artificial intelligence. Autom. Constr. 158, 105199. https://doi.org/10.1016/j.autcon.2023.105199

Loy-Benitez, J., Tariq, S., Tra, H., Heo, S., Yoo, C., 2023. Sludge bulking monitoring in industrial wastewater treatment plants through graphical methods: A dynamic graph embedding and Bayesian networks approach. J. Environ. Manage. 345, 118804. https://doi.org/10.1016/j.jenvman.2023.118804

Tariq, S., Loy-Benitez, J.*, Yoo, C.K., 2023. Enhancing the sustainable management of fine particulate matter-related health risks at subway stations through sequential forecast and gated probabilistic transformer. Build. Environ. 244, 110780. https://doi.org/10.1016/j.buildenv.2023.110780

Chang-Silva, R., Tariq, S., Loy-Benitez, J.*, Yoo, C.K., 2023. Smart solutions for urban health risk assessment: A PM2.5 monitoring system incorporating spatiotemporal long-short term graph convolutional network. Chemosphere 335, 139071. https://doi.org/10.1016/j.chemosphere.2023.139071

Tariq, S., Loy-Benitez, J.*, Nam, K.J., Kim, S.Y., Kim, M.J., Yoo, C.K., 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. Tunn. Undergr. Sp. Technol. 131, 104843. https://doi.org/10.1016/j.tust.2022.104843

Safder, U., Hai, T.N., Loy-Benitez, J.*, Yoo, C.K., 2022. Nationwide policymaking strategies to prevent future electricity crises in developing countries using data-driven forecasting and fuzzy-SWOT analyses. Energy 259, 124962. https://doi.org/10.1016/j.energy.2022.124962

Nguyen, H.T., Safder, U., Loy-Benitez, J.*, Yoo, C.K., 2022. Optimal demand side management scheduling-based bidirectional regulation of energy distribution network for multi-residential demand response with self-produced renewable energy. Appl. Energy 322, 119425. https://doi.org/10.1016/j.apenergy.2022.119425

Safder, U., Loy-Benitez, J.*, Nguyen, H.T., Yoo, C.K., 2022. A hybrid extreme learning machine and deep belief network framework for sludge bulking monitoring in a dynamic wastewater treatment process. J. Water Process Eng. 46, 102580. https://doi.org/10.1016/J.JWPE.2022.102580

Ba-Alawi, A.H., Loy-Benitez, J.*, Kim, S.Y., Yoo, C.K., 2022. Missing data imputation and sensor self-validation towards a sustainable operation of wastewater treatment plants via deep variational residual autoencoders. Chemosphere 288, 132647. https://doi.org/10.1016/j.chemosphere.2021.132647

Loy-Benitez, J., Tariq, S., Nguyen, H.T., Safder, U., Nam, K.J., Yoo, C.K., 2022. Neural circuit policies-based temporal flexible soft-sensor modeling of subway PM2.5 with applications on indoor air quality management. Build. Environ. https://doi.org/10.1016/j.buildenv.2021.108537

Loy-Benitez, J., Safder, U., Nguyen, H.T., Li, Q., Woo, T.Y., Yoo, C.K., 2021. Techno-economic assessment and smart management of an integrated fuel cell-based energy system with absorption chiller for power, hydrogen, heating, and cooling in an electrified railway network. Energy 233, 121099. https://doi.org/10.1016/j.energy.2021.121099

Loy-Benitez, J., Li, Q., Nam, K., Tra, H., Kim, M., Park, D., Yoo, C., 2021. Multi-objective optimization of a time-delay compensated ventilation control system in a subway facility – A harmony search strategy. Build. Environ. 190, 107543. https://doi.org/10.1016/j.buildenv.2020.107543

Loy-Benitez, J., Heo, S.K., Yoo, C.K., 2020. Imputing missing indoor air quality data via variational convolutional autoencoders: Implications for ventilation management of subway metro systems. Build. Environ. 182, 107135. https://doi.org/10.1016/j.buildenv.2020.107135

Tariq, S., Loy-Benitez, J.*, Nam, K., Heo, S., Yoo, C., 2020. Energy-efficient time-delay compensated ventilation control system for sustainable subway air quality management under various outdoor conditions. Build. Environ. 174, 106775. https://doi.org/10.1016/j.buildenv.2020.106775

Loy-Benitez, J., Heo, S., Yoo, C., 2020. Soft sensor validation for monitoring and resilient control of sequential subway indoor air quality through memory-gated recurrent neural networks-based autoencoders. Control Eng. Pract. 97. https://doi.org/10.1016/j.conengprac.2020.104330

Loy-Benitez, J., Li, Q., Nam, K., Yoo, C., 2020. Sustainable subway indoor air quality monitoring and fault-tolerant ventilation control using a sparse autoencoder-driven sensor self-validation. Sustain. Cities Soc. 52, 101847. https://doi.org/10.1016/J.SCS.2019.101847

Li, Q., Loy-Benitez, J.*, Nam, K., Hwangbo, S., Rashidi, J., Yoo, C., 2019. Sustainable and reliable design of reverse osmosis desalination with hybrid renewable energy systems through supply chain forecasting using recurrent neural networks. Energy 178, 277–292. https://doi.org/10.1016/J.ENERGY.2019.04.114

Loy-Benitez, J., Vilela, P., Li, Q., Yoo, C.K., 2019. Sequential prediction of quantitative health risk assessment for the fine particulate matter in an underground facility using deep recurrent neural networks. Ecotoxicol. Environ. Saf. 169, 316–324. https://doi.org/10.1016/j.ecoenv.2018.11.024

Loy-Benitez, J., Li, Q., Ifaei, P., Nam, K., Heo, S., Yoo, C., 2018. A dynamic gain-scheduled ventilation control system for a subway station based on outdoor air quality conditions. Build. Environ. 144, 159–170. https://doi.org/10.1016/J.BUILDENV.2018.08.016