For inclusive urban space, how can we comprehend the impact of digital technology on human movement with the aid of AI?
In particular, urban inequality and inefficiency derived from physical and spatial restrictions can be overcome by digital technology.
I'm interested in figuring out how to overcome physical restrictions via digital technology and applying it to urban planning and design.
Who am I?
To achieve a research goal, I have been equipped with programming and data science.
I majored in civil and environmental engineering and minored in computer science to bridge urban design and engineering.
Through an internship in a facade engineering office and a career in a construction company,
I improved my research skills, which encourged me to widen my research perspective.
To become a better researcher and programmer, keep struggling to get advanced skills.
Urban Design Lab, KAIST
Researcher - -
As a researcher, I am focusing on AI-driven urban planning and urban modeling with big data
SAMSUNG C&T
Associate - -
As a full-time employee engineer, managed construction period and safety, addressed construction cost, maintained the quality of hi-tech manufacturing facility in Hwaseong
VS-A.KR
Internship - -
VS-A.Kr stands for the coordination between architecture, designer and fabrication via facade engineering. I conducted research project for the simulation of water flow on various facade forms and build the marketing strategy of the office during my internship.
Monthly SPACE Student Reporter
Student Reporter - -
Monthly SPACE is the most authorized architectural culture and art magazine in South Korea. I wrote an article about local curture and art exhibitions, and participated in an exhibition "A Room of tomorrow, without today" with the them of East Asian youth housing in poverty.
Estimating Mobility on Demand
Digitally Accessible Space
Enhancing the Resilience of Declining City
Human Mobility Prediction for Overtourism
AI-driven Urban Block Generator (DCGAN)
Simulating Water Flow on Facade
Korea Advanced Institute of Science and Technology (KAIST)
Master - -
Korea Advanced Institute of Science and Technology (KAIST)
Bachelor - -
Mobility On Demand
The research project for the verification of MOD presents novel approach to predict the transportation demand in urban space. I crawled google place data to trace people's daily moving pattern and addressed population & transporation data to estimate the population travel behavior.
Spatial Influence of ICT - Digitally Accessible Space
ICT has become a considerable determinant to depict urban space and people's travel behavior. To figure out the empirical impact of ICT on urban space, I suggested the notion of Digitally Accessible Space, which provides online reserved visitors with significant priorities. In conclusion, DAS utilizes ICT including online reservation and mobile device to overcome the unprofitable market location.
Enhancing the Disaster Resilience of Declining City
Since declining city is more likely to be vulnerable to natural disaster, the risk assessment of the site is required with multi-dimensional approach. Specifically, this project focused on the risk assessment of a small area, analyzing based on 1m scale grid. I addressed climate data which represent the hazard factor based on IPCC 2014 framework and obtained 3D point cloud data using drone & LiDAR.
Overtourism Detection by Human Mobility
Planning strategy to prevent overtourism requires data-driven analysis for human mobility. Bukchon in Jongno, a residential area with traditional buildings and aesthetic landspace, is the most representative site suffering from overtourism. I analyzed the human mobility pattern of visitors obtained by CCTV and telecommunication data in a street unit using PostGRESQL and python.
AI-driven Urban Block Generator
Generative Adversarial Network (GAN) generates fake images from training sets. By block units, images including the land use, road network, and parcel of entire Seoul compose training sets. Trained DCGAN model proposes various alternatives of urban block as images.
Simulating Water Flow on Facade
I conducted research for the simulation of water flow pattern on facade during my internship in VS-A.kr. A real experiment was conducted to understand the water flow pattern depending on the material and angle. Based on the experiment, the pattern was parametrized by CFD simulation (Realflow) and visualized by 3D modeling tool (C#, Rhino3D & Grasshopper).