PostDoc Researcher at KAIST & Partner Architect at AR-GE Architects

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About

Hello, I am Youngjun Park, an urban researcher and architect. My research and practice focus on data-driven urban analytics, AI-based solutions for urban problems, and evidence-based urban design.

Partner Architect, Ar-ge Architects, Inc.
Email: youngjourpark@gmail.com | Phone: (+82) 10-2399-4900
Daejeon, South Korea

Education

  • Ph.D in Architecture, Seoul National University, 2022
    • Focus: Smartphone data-based walking activity analysis, urban facility planning for physical activity promotion
  • M.S. in Urban Design, Seoul National University, 2017
    • Thesis: A study on car-use behavior of housewives and mobility characteristics in neighborhood
  • B.A. in Architecture, Seoul National University, 2013

Professional Positions

  • Partner Architect, Ar-ge Architects, Inc. (2024-present)
    • Leading architectural/urban design projects integrating computational techniques
  • PostDoc Researcher, Urban AI Institute, KAIST (2025)
    • Research in urban analytics and science with Agentic AI framework
    • Manage the interdisciplinary and international research projects for Center for Advanced Urban Systems at KAIST
  • PostDoc Researcher, School of Computing, KAIST (2022-2025)
    • Research in AI-centered urban solution with smart city technologies, based on IoT and distributed computing systems
    • Cross-disciplinary collaborations in urban computing
  • Lecturer, Department of Architecture, Seoul National University (2021-2023)
    • “Urban Design Research: Pedestrian-Urban Data Analysis” (Graduate level in Architecture Major)
    • “Urban Design Theory: Old Urban Design, New Urban Design” (Graduate level in Urban Design Major)
  • Military Officer (1st Lieutenant), Combat Engineer, Republic of Korea Army (2013-2015)
    • Operation execution and leadership experience
    • DMZ Operation Land Mine Detection and Removal Team Leader

Technical Skills

Programming & Data Science

  • Programming Languages: Python, R, SQL
  • Machine Learning: scikit-learn, TensorFlow, PyTorch
  • GIS & Spatial Analysis: QGIS, ArcGIS, GeoPandas, OSMnx
  • Data Visualization: Matplotlib, Plotly, Processing, p5.js
  • AI techniques: Language Model, Graph Network, Time-Series Prediction, Spatial Analysis

Urban Design & Architecture

  • Design Software: ArchiCAD (BIM), AutoCAD, SketchUp, Adobe Creative Suite
  • BIM & Parametric Design: ArchiCAD, Grasshopper
  • Analysis Tools: OSMnx, Space Syntax, GIS Software
  • Visualization: 3D rendering, architectural presentation

Research Methods

  • Statistical Analysis: Advanced statistical modeling and hypothesis testing, spatiotemporal analysis, graph network analysis
  • Big Data Processing: Handling large-scale urban datasets
  • Survey Design: Questionnaire development and analysis
  • Field Research: Participatory community design, travel survey with GPS sensor, urban observation and video analysis

Publications

Working Papers

  • Park, Youngjun; Na, Jihye; Jang, Keonhee; Lee, Dongman; Kwon, Changhyun; Yoon, Yoonjin (2025). “Food Deserts in Context: How Site-Specific Factors Reshape Food Deserts Discussion.” Submitted to npj Urban Sustainability (in-review).

Selected Journal Articles

  • Park, Youngjun; Lee, Sunjae; Park, Sohyun (2022). “Differences in park walking, comparing the physically inactive and active groups: data from mHealth monitoring system in Seoul.” International Journal of Environmental Research and Public Health.
  • Park, Youngjun; Chung, Haegwon; Park, Sohyun (2021). “Changes of walking activity during the first cycle phases of COVID-19 pandemic: A case study of Seoul, Korea.” HERD: Health Environments Research & Design Journal.
  • Jeong, Jiwoon; Park, Youngjun; Park, Sohyun (2023). “Safety-critical events in bicycle lanes in Jongno, Seoul.” Journal of Urbanism.

Selected Conference Proceedings

  • Lee, Hongju; Park, Youngjun; An, Jisun; Lee, Dongman (2025). “Enhancing Regional Airbnb Trend Forecasting Using LLM-Based Embeddings of Accessibility and Human Mobility.” ASONAM 2025.
  • Park, Youngjun; An, Jisun; Lee, Dongman (2025). “A Model for Monthly, Local-Level Airbnb Changes Using Public Dataset.” ICTR 2025.
  • Han, Sumin; Park, Youngjun; Lee, Minji; An, Jisun; Lee, Dongman (2023). “Enhancing Spatiotemporal Traffic Prediction through Urban Human Activity Analysis.” CIKM 2023.

Patents & Intellectual Property

  • Korean Patent (Applied) No.10-2024-0108083: Method and Device for Estimating House Value Using Neural Network Model
  • Korean Patent (Registered) No.10-23679770000: Method and Server for Providing Commercial Real Estate Information
  • Korean Copyright (Registered) C-2023-062275: Geographic Data Visualization Program

Awards and Honors

  • G-School Best Innovation Awards (2023) - KAIST-NYU Young Researcher Day
  • 1st Prize, AI-based Population Prediction (2023) - COMPAS Data Analysis Competition, Korea Land & Housing Corporation
  • Thesis Award (2018) - Master thesis, Architectural Institute of Korea
  • Future Architectural Education Talent Selection (2016) - Korean Institute of Architects
  • Excellent Junior Officer Selection (2015) - Republic of Korea Army

Professional Service

  • Reviewer: Scientific Reports, BMC Public Health, Archives of Public Health, Frontiers in Public Health
  • Research Consultant: Architecture and Urban Research Institute of Korea (AURI), 2022-2023
  • Industry Collaboration: GS E&C, Kia Motors-Innocean, Swallaby
  • Special Lecture/Seminar: Seoul National University (Dept. of Architecture), Korea Advanced Institute of Science and Technology (School of Computing), Korea University of Technology and Education (Dept. of Architectural Engineering), Chung-Ang University (Dept. of Architecture)