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About the College

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  • About the College
  • Faculty
  • Civil, Architectural Engineering and Landscape Architecture

Faculty

  • Assistant Professor Intelligent Building Systems
  • YOON, SUNGMIN
    Lab Building Information Science and Technology

Research Interest

Building Science
Digitalization and Energy
In-situ virtual sensing
Information fusion in buildings
Self-evolving building systems

Education

  • (Ph.D.) University of Nebraska at Lincoln, 2018

Experience

  • 2018.9 ~ 2022.2 : 인천대학교 도시건축학부 조교수

Journal Articles

  • (2024)  Analysis of sensor offset characteristics in building energy systems based on redundant sensors: A case study on variable air volume system.  ENERGY AND BUILDINGS.  306, 
  • (2024)  Retrofit building energy performance evaluation using an energy signature-based symbolic hierarchical clustering method.  BUILDING AND ENVIRONMENT.  Available online, 
  • (2024)  Neural network-based nonintrusive calibration for an unobserved model in digital twin-enabled building operations.  AUTOMATION IN CONSTRUCTION.  159, 
  • (2023)  Sensor fault diagnosis and correction for data center cooling system using hybrid multi-label random Forest and Bayesian Inference.  BUILDING AND ENVIRONMENT.  249, 
  • (2023)  Perspective for waste upcycling-driven zero energy buildings.  ENERGY.  289, 
  • (2023)  Simultaneous in-situ calibration for physical and virtual sensors towards digital twin-enabled building operations.  ADVANCED ENGINEERING INFORMATICS.  59, 
  • (2023)  Realization of rule-based automated design for HVAC duct layout.  JOURNAL OF BUILDING ENGINEERING.  80, 
  • (2023)  Virtual PMV sensor towards smart thermostats: Comparison of modeling approaches using intrusive data.  ENERGY AND BUILDINGS.  301, 
  • (2023)  In situ virtual sensors in building digital twins: framework and methodology.  JOURNAL OF INDUSTRIAL INFORMATION INTEGRATION. 
  • (2023)  In situ model fusion for building digital twinning.  BUILDING AND ENVIRONMENT.  243,  -
  • (2023)  Surrogate-assisted high-accuracy observation modeling in building digital twins: In situ nonintrusive modeling without sensor observation (Y).  BUILDING AND ENVIRONMENT.  110584, 
  • (2023)  Research on designated calibration method of fault sensor in photovoltaic thermal heat pump system based on fault detection and virtual calibration.  JOURNAL OF BUILDING ENGINEERING.  76,  -
  • (2023)  Strategies for sensor virtual in-situ calibration in building energy system: Sensor evaluation and data-driven based methods.  ENERGY AND BUILDINGS.  294,  -
  • (2023)  Building digital twinning: Data, information, and models.  JOURNAL OF BUILDING ENGINEERING.  76,  -
  • (2023)  Fault detection and calibration for building energy system using Bayesian inference and sparse autoencoder: A case study in photovoltaic thermal heat pump system.  ENERGY AND BUILDINGS.  290,  -
  • (2023)  In situ virtual sensing for dwelling infiltration rates in multi-unit residential buildings.  JOURNAL OF BUILDING ENGINEERING.  69,  -
  • (2023)  Energy signature-based clustering using open data for urban building energy analysis toward carbon neutrality: A case study on electricity change under COVID-19.  SUSTAINABLE CITIES AND SOCIETY.  92,  -
  • (2023)  Calibration method for sensor drifting bias in data center cooling system using Bayesian Inference coupling with Autoencoder.  JOURNAL OF BUILDING ENGINEERING. 
  • (2023)  In-situ observation virtual sensor in building systems toward virtual sensing-enabled digital twins.  ENERGY AND BUILDINGS.  281,  -
  • (2023)  In situ modeling methodologies in building operation: A review.  BUILDING AND ENVIRONMENT.  230,  -

Honors / Awards

  • 2019 Best Paper Awards from Building and Environment
  • 2020 Rising Engineer Award from SAREK
  • 2021 Best Paper Awards from ISHVAC