Publications

Optimal utility supply network under demand uncertainty for operational risk assessment on a petrochemical industrial park
A two-objective, two-stage mathematical model was developed considering demand uncertainty and operational risk assessment in …
Paulina Vilela, SungKu Heo, Soonho Hwangbo, ChangKyoo Yoo
Posted Jun 30, 2020
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Human health risk, environmental and economic assessment based on multimedia fugacity model for determination of best available technology (BAT) for VOC reduction in industrial complex
Determination of Best available technology (BAT) was suggested to reduce volatile organic compounds (VOCs) in a petrochemical …
Yelin Kim, GaHee Rhee, SungKu Heo, KiJeon Nam, Qian Li, Chang Kyoo Yoo
Posted Jun 1, 2020
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A proactive energy-efficient optimal ventilation system using artificial intelligent techniques under outdoor air quality conditions
Passengers are directly or indirectly exposed to fine dust in indoor air of underground subway stations, which greatly affects the …
KiJeon Nam, SungKu Heo, Qian Li, Jorge Loy-Benitez, MinJeong Kim, DuckShin Park, ChangKyoo Yoo
Posted May 15, 2020
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Energy-efficient time-delay compensated ventilation control system for sustainable subway air quality management under various outdoor conditions
Modern subway transport has become the primary mode of travel for millions of commuters, while indoor air quality (IAQ) in subway …
Shahzeb Tariq, Jorge Loy-Benitez, KiJeon Nam, SungKu Heo, ChangKyoo Yoo
Posted May 1, 2020
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An autonomous operational trajectory searching system for an economic and environmental membrane bioreactor plant using deep reinforcement learning
Optimal operation of membrane bioreactor (MBR) plants is crucial to save operational costs while satisfying legal effluent discharge …
KiJeon Nam, SungKu Heo, Jorge Loy-Benitez, Pouya Ifaei, ChangKyoo Yoo
Posted Apr 15, 2020
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Design and optimization of pilot-scale bunsen process in sulfur-iodine (SI) Cycle for hydrogen production
Simulation study and validation on 50 L/hr pilot-scale Bunsen process was carried out in order to investigate thermodynamics …
Junkyu Park, Ki Jeon Nam, Sung Ku Heo, Jonggyu Lee, In Beum Lee, Chang Kyoo Yoo
Posted Apr 1, 2020
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Soft sensor validation for monitoring and resilient control of sequential subway indoor air quality through memory-gated recurrent neural networks-based autoencoders
Indoor air quality (IAQ) measurements play an important role in the subway ventilation system control, influencing over crucial factors …
Jorge Loy-Benitez, SungKu Heo, ChangKyoo Yoo
Posted Apr 1, 2020
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Spatio-temporal incidence modeling and prediction of the vector-borne disease using an ecological model and deep neural network for climate change adaption
This study was carried out to analyze spatial and temporal incidence characteristics of scrub typhus and predict the future incidence …
Sang Youn Kim, Ki Jeon Nam, Sung Ku Heo, Sun Jung Lee, Ji Hun Choi, Jun Kyu Park, Chang Kyoo Yoo
Posted Apr 1, 2020
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A deep reinforcement learning-based autonomous ventilation control system for smart indoor air quality management in a subway station
Mechanical ventilation has been widely implemented to alleviate poor indoor air quality (IAQ) in confined underground public …
SungKu Heo, KiJeon Nam, Jorge Loy-Benitez, Qian Li, SeungChul Lee, ChangKyoo Yoo
Posted Nov 1, 2019
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Deep learning driven QSAR model for environmental toxicology: effects of endocrine disrupting chemicals on human health
Over 80,000 endocrine-disrupting chemicals (EDCs) are considered emerging contaminants (ECs), which are of great concern due to their …
SungKu Heo, Usman Safder, ChangKyoo Yoo
Posted Oct 1, 2019
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