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Yun-Dam Ko / 고윤담

Building (Data) Scientist

“Make buildings and cities more sustainable by bridging data and urban/building systems through scientific understanding”

yundam.ko@gmail.com

Academic CV

CV-YUNDAM-KO.pdf
331.8 KB

Research Interests

#Building Informatics #Building Performance Simulation #(Urban) Building Energy Modeling #Retrieval-Augmented Generation

NEWS

SEP 15, 2025
Thrilled to be selected as a Stanford HAI Graduate Fellow!
NEWS Archive

PROFESSIONAL EXPERIENCE

2024 -
Graduate Research Assistant
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AI applications for sustainable buildings and cities, including HVAC Control and Building Energy Modeling
2023 - 2024
NINEWATT, South Korea
Lead Research Engineer (Mar 2023 - Sep 2024)
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Developed ChatGPT-based time-series forecasting model and building systems control strategies (Managing collaborative project with OpenAI)
Snapshot
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Developed automated (urban) building energy modeling tool
Demo
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Developed building-mobility energy simulator (Managing pilot project with Hyundai Motor Group)
Demo
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Co-developed of urban building energy data analysis platform, WATTI
Snapshot
2021 - 2024
Military Duty
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Alternative military duty service as technical research personnel
2021 - 2023
TENELEVEN Inc., South Korea
Software Developer
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Developed outdoor airflow simulation solver using OpenFOAM and deep learning (GAN)
Snapshot (gif)
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Co-developed PV energy analysis tool using RADIANCE and machine learning
Snapshot #1: Solar radiation analysis
Snapshot #2 (gif): PV analysis
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Managed and coordinated software localization project (Singapore)
Snapshot
2019 - 2021
Research Assistant
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Research Projects:
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Data-Centric Checkup Technique of Building Energy Performance
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Development of Smart Hybrid Envelope Systems for Zero Energy Buildings through Holistic Performance Test and Evaluation Methods and Fields Verifications
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Development of Real-time Diagnosis Technology of Home Energy Usage and Smart & Autonomous Control/Management System
2018 - 2019
Research Assistant / Thesis
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Developed generic input parameters for DX cooling coil simulation model in whole building simulation software, WUFI Plus
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Created whole building simulation models for passive houses with WUFI Passive
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Assisted in evaluating practicability of urban climate simulation model

EDUCATION

SEP 2024 -
AUG 2021
Ph.D. in Civil Engineering
Thesis: Parameter estimation of unknown building properties using transfer learning (Advisor: Prof. Cheol-Soo Park)
SEP 2018
B.S. in Civil Engineering
Thesis: Generating generic input parameters for a DX cooling coil simulation model (Advisor: Prof. Klaus Peter Sedlbauer)

PROJECTS

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Snapshot
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The developed model was deployed and served using AWS Lambda in BUILDIT DESIGNER, a semi-automated 3D modeling computer-aided design program for architecture applications.
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Abstract
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Development process of the generative model for urban wind environment simulation
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Data praparation
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Model
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Result
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Visualization and Application
Generative model for urban wind environment simulation
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Snapshot
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Summary
Automated Urban Building Energy Modeling using GIS data
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Abstract
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Workflow
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Baseline vs. proposed method (TL)
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Findings
Transfer learning to identify unknow building properties from virtual to existing buildings
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Introduction
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Method
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Result
Bayesian inference to identify occupants’ energy saving behavior in a residential building
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Abstract
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Workflow
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Data praparation
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Training and Validation
ResNet to identify occupant behavior patterns from aggregated household energy data
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Summary
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Motivation
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Methodology
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For more detailed, visit the followings:
Inverse approach for building energy retrofit analysis
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Snapshot
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Abstract
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Development process
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Model
Real-time face masking on Edge: Privacy preservation in videos
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Abstract
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Analysis process
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Find the optimal K using Silhouette score
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Representative four energy use patterns
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Clustering energy data of each building use type
Clustering analysis of monthly energy use of 10,750 buildings for benchmarking

PUBLICATIONS

Peer-reviewed Journal Articles
Peer-reviewed Conference Proceedings
Domestic Conference Proceedings (in Korean)

HONORS AND AWARDS

2025-2026
2020.12
2020.11
2020.09 - 2021.08
2020.03 - 2021.02
Stanford HAI Graduate Fellow The Stanford Institute for Human-Centered Artificial Intelligence (HAI)
Poster Session Award Winner (Runners-Up) The 2020 Winter Simulation Conference
Outstanding Paper Award The 2020 Autumn Annual Conference of the Korean Institute of Architectural Sustainable Environment and Building Systems
BK (Brain Korea) 21 Four Scholarship The National Research Foundation of Korea
TAEJAE Research Scholarship TAEJAE research foundation

PATENTS

1.
Kim, Y.R., Park, S., and Ko, Y.D. (2024). Method of forecasting the power generation of a power generation facility. Patent No. 10-2799556 (South Korea)
2.
Kim, Y.R., Park, S., and Ko, Y.D. (2023). Automation method and system for building energy modeling. Patent No. 10-2708831 (South Korea)
3.
Kim, Y.R., Park, S., Ko, Y.D., and Kim, R. (2023). Server for selecting buildings in need of energy efficiency improvements and method thereof. Patent No. 10-2708834 (South Korea)
4.
Kim, Y.R., Park, S., Ko, Y.D., and Kim, D. (2023). Facility Management System and the Method of Using It for Management. Patent No. 10-2023-0144966 (South Korea) (under registration review)
5.
Kim, Y.R., Park, S., Ko, Y.D., and Kim, R. (2023). Method for Assessing Energy Use Information at a Specific Address and Its Associated Server. Patent No. 10-2799577 (South Korea)

SKILLS

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Programming
Python, MATLAB, SQL
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Framework & Library
LangChain, Ollama, Tensorflow (+Keras), PyTorch, (geo)pandas, eppy, shapely, OpenCV, and many others
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Building Physics
EnergyPlus, OpenFOAM, WUFI, DesignBuilder, RADIANCE, Relux, THERM, and WINDOW
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Architecture & Construction
Rhinoceros 3D & Grasshopper, SketchUp, AutoCAD and Revit
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Statistical Analysis
Stochastic modeling, Bayesian calibration, Uncertainty analysis, and Sensitivity analysis
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Language
Korean (Native), English (Fluent), German (Fluent)
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