Biography
Quang Hoai Le obtained the Ph.D in Smart City Engineering at Hanyang University and is currently pursuing research in in the fields of Smart Cities and urban data science, with a particular focus on leveraging spatial data sources such as street-view imagery, drone imagery, and machine learning or deep learning techniques to evaluate human perception and the quality of urban design through the lens of environmental psychology.
Download my resumé.
Interests
- Smart City
- Urban Analytics
- Spatial Data Science
- Environmental Psychology
- Machine Learning, Deep Learning
Education
M.Sc. & Ph.D. Combined Program, Sep 2020 – Feb 2025
Hanyang University, Republic of Korea
BA in Architecture, Sep 2013 – Aug 2018
Vietnam National University Ho Chi Minh City – University of Technology
Skills
GIS
Python
Tableau
Photoshop
AutoCAD
Sketchup
Experiences
Postdoctoral Researcher
Center for AI Technology in Construction, Hanyang University, Korea
Apr 2025 – Present
- Researching on the use of street view imagery in urban analytics and GIS studies
- Developing a novel method using street view imagery and computer vision
Visiting Lecturer
Institute of Smart City and Management - UEH University, Vietnam
Jul 2025
Researcher
Sustainable Building and Construction Management Lab, Hanyang University, Korea
Sep 2020 – Feb 2025
Urban Planner
Industrial & Civil Designing Consulting Company, Vietnam
Aug 2018 – Aug 2020
Architect
Industrial & Civil Designing Consulting Company, Vietnam
Jun 2017 – Jan 2018
Architectural Intern
DATAA Architects, Vietnam
Jan 2017 – Jun 2017
Architectural Intern
Oasis Concept Architecture, Vietnam
Jun 2014 – Sep 2014
Research Topics
Place Perception
Deep Learning
Environmental Psychology
Satellite Imagery
NeuroUrbanism
Text Mining
Sustainable Development
LLMs
Topic Modeling
Smart Dashboard
Urban Design
Public Health
Machine Learning
Built Environment
Perceived Urban Stress
Urban Building Density
Space Syntax
Computer Vision
Drones
Convolutional Neural Networks
Modular Building
Street View Imagery
Systematic Review
Sense of place
Safety Management
Projects
Uban Analytics
Smart City Dashboard
Social Sensing
Last updated on May 29, 2025
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Human well-being is a fundamental aspect of building smart and sustainable cities.
Last updated on May 29, 2025
0 Comments
Understanding how people perceive different urban environments is essential for designing spaces that promote comfort, safety, and well-being.
Featured Publications
The impact of sound integration on Human Perception of Place (HPP) measurement remains unexplored due to the challenge of real-sound integration, as large-scale sound data acquisition is time-consuming.
Human well-being is an essential criterion in achieving smart and sustainable cities.
Recent Publications
(2025). From seeing to hearing: A feasibility study on utilizing regenerated sounds from street view images to assess place perceptions.
Building and Environment,
269,
112468.
(2025). Determinants of psycho-comfort in urban outdoor spaces: A Narrative review using latent dirichlet allocation (LDA) algorithm.
International Journal of Sustainable Building Technology and Urban Development,
16(1),
3-22.
(2025). Scalable transfer learning framework for capturing human perceptions of place through visual-aural data integration.
Cities,
166,
106286.
(2024). Sensing perceived urban stress using space syntactical and urban building density data: A machine learning-based approach.
Building and Environment,
266,
112054.
(2024). Advancing modular construction through circular economy: Insights from semi-automated PRISMA analysis and topic modeling.
Journal of Building Engineering,
98,
111232.
(2024). Development of a platform dashboard for integrating safety management database in apartment construction for owners.
International Journal of Sustainable Building Technology and Urban Development,
15(4),
529-544.
(2023). Utilizing Deep Learning to Track Urban Density Parameters in Zoning Practice-Based Areas.
Lecture Notes in Civil Engineering,
442,
(2022). Deep learning based urban building coverage ratio estimation focusing on rapid urbanization areas.
Applied Sciences,
12(22),
11428.