Research Experience

• Graduate Research Assistant (May 2022 – Present)
  Building Energy and HVAC&R Research Group, Texas A&M University
  Advisor: Dr. Zheng O’Neill
  • Smart Meter Data Analysis (Jun. 2024 – Present)
    • Assisted in analyzing real-world smart meter electricity data from over 1.93 million residential buildings in Harris County, Texas, with a focus on demand flexibility and building energy resilience. Paper
    • Investigating methods for developing representative simulation models using NREL’s ResStock to replicate smart meter data and enable resilience studies, including scenarios involving photovoltaic (PV) systems and thermal energy storage.
  • High-performance Whole Building Design 3D-printed Carbon–Absorbing Funicular Structures
    Funded by ARPA-E HESTIA Program: Lead Graduate Researcher (Jan. 2023 – Present)
    • Developed EnergyPlus models for radiant systems coupled with ground-source heat pumps, modeled using GLHEPro, in buildings with carbon-absorbing funicular structures.
    • Demonstrated the effectiveness of mixed-mode ventilation by integrating natural ventilation with a dedicated outdoor air system.
    • Conducted long-term analyses of operational energy use and carbon emissions using future weather files (fTMY) and carbon emission factors from the NREL Cambium dataset.
    • Participated in and showcased research at the 2024 ARPA-E Energy Innovation Summit.
  • Optimizing Supply Air Temperature Control for Dedicated Outdoor Air Systems
    Funded by ASHRAE RP-1865: Lead Graduate Researcher (May 2022 – Mar. 2025)
    • Developed EnergyPlus models for Dedicated Outdoor Air System (DOAS) coupled in parallel with heat pumps, fan coil units, and chilled beams.
    • Performed large-scale optimizations using genetic algorithms on the Texas A&M High Performance Research Computing (HPRC) system. Paper
    • Designed machine learning-based optimization-informed supply air temperature reset strategy for DOAS configurations to support updates to ASHRAE Guideline 36.
    • Presented project progress at six ASHRAE meetings.
    • Collaborate with industry partners to integrate practical insights into research.
  • Others
    • Contributed to proposal development through simulations and energy performance analysis of cooling roof adoption in residential buildings. (Target Project: Low-Cost, Durable, and Resistant Radiative Cooling Roof for Enhanced Energy Efficiency of Low- and Medium-Income Houses, funded by DOE)
• ORISE Graduate Intern (Jun. 2025 – Aug. 2025)
  Oak Ridge National Laboratory
  Mentors: Drs. Piljae Im and Yeobeom Yoon
  • Development and Calibration of Building Energy Models
    • Developed a building energy model for a city-owned commercial building using architectural and mechanical drawings. Created building geometry in SketchUp with the Euclid plug-in and implemented HVAC systems in EnergyPlus. Conducted the model calibration using measured hourly electricity and gas consumption data.
  • Fault Detection and Diagnosis of Refrigerant Charge Faults in Residential HVAC Systems
    • Contributed to the development of Automated Fault Detection and Diagnosis (AFDD) models using data from a real-world testbed.
    • Conducted a literature review on AFDD in residential buildings.
• PhD Intern (Jul. 2023 – Aug. 2023)
  Pacific Northwest National Laboratory
  Mentors: Drs. Yan Chen and Xuechen (Jerry) Lei
  • Conducted a literature review on construction weights and bottom-up building energy modeling methodologies as part of the Construction Weight Analysis project.
• Graduate Research Assistant (May 2022 – Present)
  Building Simulation Lab, Seoul National University
  Advisor: Dr. Cheol-Soo Park
  • Development of Real-time Diagnosis Technology of Home Energy Usage and Smart & Autonomous Control/Management System Funded by Korean Energy Technology Evaluation and Planning (KETEP) Jan. 2020 – Feb. 2022
    • Assisted in developing EnergyPlus models and conducting sensitivity analysis to identify critical input parameters before sensor installation.
    • Performed Relux-based artificial lighting simulations to size and determine appropriate dimmable lighting for target residential apartments.
    • Installed Internet of Things (IoT) sensors and collected data on indoor environmental conditions, occupant behavior, and energy use in existing residential buildings. Assisted in querying real-time data using Python.
  • Development of Building Energy Management System (BEMS) Energy Saving Algorithms Funded by Hyundai Development Company (HDC) I-Controls Jun. 2020 – Feb. 2021
    • Developed a machine learning-based electricity peak prediction model using real-world data for a building energy management system (BEMS) in a high-rise office building.
    • Explored the potential of virtual-to-real transfer learning for indoor air temperature prediction by leveraging EnergyPlus simulation outputs as the source model and adapting it with real-world data.

Other Experience

• Construction Worksite Manager (Internship) (2018.12.-2019.2.)
  Hyundai Engineering and Construction
  • Worksite manager at an apartment-type residential building construction site.
• Construction Engineer (Seabee) & Translator (2016.8.-2018.7.)
  Republic of Korea Navy
  • Mandatory military service