Kiarash Kiany and Jinmo Rhee, "Evaluating the Fiscal Performance of Urban Land Use Plans Through a Data-Driven Fitness Index," presented at the 31st International Conference of the Association for Com
The Transdisciplinary Scholarship Connector Grant from the University of Calgary is awarded to initiate the project Reimagining Generative Design Across Disciplines in the Era of AI. This seed funding
Published in EPB: Urban Analytics and City Science (2026), this study by Jinmo Rhee, Kiarash Kiany, and Alberto de Salvatierra provides empirical evidence that parcel-level socioeconomic indices can b
Presented at the Architectural Institute of Korea Conference (AIKC 2025), this paper compares three models for integrating computational design into architectural education and concludes that context-
Presented at the Architectural Institute of Korea Conference (AIKC 2025), this paper proposes a method for synthesizing building forms using AI-driven typological knowledge, enabling designers to gene
This initiative, funded by Higharc, develops an AI-driven system for generating and optimizing residential floorplans, advancing the integration of generative design into housing and real estate pract
The project CCC x 801: An Impact Study of SAPL's Presence in Downtown Calgary is funded by the City of Calgary and the Calgary Downtown Association in collaboration with the Center for Civilization (C
Published in Technology | Architecture + Design (TAD), Vol. 9, No. 1, pp. 84–97, this paper by Jinmo Rhee and Eunjoo Oh presents an exploratory study on the pedagogical application of generative AI in
The DESTECTIC Lab, directed by Jinmo Rhee, collaborates with colleagues from the University of Calgary and beyond on the Social Innovation in Engineering for Climate-Neutral Cities project. Supported
Published in EPB: Urban Analytics and City Science (2025), this research presents a computational method to investigate the common urban structure of three Rust Belt cities—Cleveland, Detroit, and Pit
Presented at the 30th International Conference of the Association for Computer-Aided Architectural Design Research in Asia (CAADRIA 2025, Tokyo), this paper introduces an automated camp layout technol
From 2024 to 2025, the DESTECTIC Lab directed by Jinmo Rhee, in collaboration with the Center for Civilization (CFC), is co-leading the Return of Interest (ROI) Urban Modelling Pilot Project. Funded b
The Vice President of Research (VPR) Catalyst Grant has been awarded to initiate research on automated deployable camp layout technology for rapid, efficient, and safer refugee settlement design, addr
Over the past years, computational methods based on deep learning—that is, machine learning with multilayered neural networks—have become state-of-the-art in main research areas in computer-aided arch
Recent research into the analysis of 3-D architectural and urban form using deep learning (DL) methods has shown potential to identify features from large collections of building data, shedding light
Published in Artificial Intelligence in Urban Planning and Design, this chapter introduces morphometry as a machine learning-driven approach to urban form analysis, demonstrating how AI can trace late
DEEPRISE won the Grand Prize at the international Digital Architecture competition (DA 2021) hosted by the Architectural Institute of Korea (AIK) and the Korea Ministry of Land, Infrastructure and Tra
Jinmo Rhee's context-rich urban analysis video was showcased at the Austrian Pavilion of the 21st Venice Biennale, presenting a new data format that treats the city as a set of individual urban spaces
Jinmo Rhee and his colleague write a chapter about deep learning and design for a design magazine, Rumoer. The article focuses on generative design in the context of architectural configuration, intro
Jinmo Rhee and his design colleagues founded CRAIDL, an AI research initiative at Carnegie Mellon University's Computational Design Laboratory, focusing on the intersection of AI and art, design, engi
Jinmo Rhee's research proposal about AI for Urban Architecture was selected for the Architectural Design Human Resource Development Project 2020 grant, supported by KAIA and the Korean Ministry of Lan
Jinmo Rhee's research team signed a three-year R&D contract with DLE&C to develop an advanced AI system for automatically generating apartment complex layouts, leveraging machine learning to optimize
Jinmo Rhee received the 2020 Young CAADRIA Award for his promising research exploring Artificial Intelligence and Machine Learning techniques in architecture.
This is a book about architectural design and artificial intelligence technology in korean. The book provides opportunity to imagine how artificial intelligence technology and architectural design can
Due to the recent innovations and increased accessibility of Deep Learning (DL), there is an apparent paradigm shift in the field of architectural design to data driven design process. This emerging t
Jinmo Rhee has won the international competition at Digital Architecture (DA 2019) hosted by the Architectural Institute of Korea (AIK) and the Korea Ministry of Land, Infrastructure and Transport. Hi
Jinmo Rhee's MSCD thesis "Context-rich Urban Analysis and Generation Using Artificial Intelligence: A Case Study in Pittsburgh, PA" was selected by the Korean Institute of Architects (KIA) for the spe
Dr. Jinmo Rhee, an Assistant Professor at the School of Architecture, Planning + Landscape at the University of Calgary, is a computational designer, architect, and design scholar whose research is situated within the emerging domain of Spatial Artificial Intelligence in the Built Environment. His work investigates how artificial intelligence and data-driven methods can transform the analysis, generation, and interpretation of architectural and urban spaces. Dr. Rhee holds a Master of Science in Computational Design and a Ph.D. from Carnegie Mellon University, where his research advanced computational design methodologies through the integration of AI and machine learning. His scholarship proposes new lenses for reading urban and architectural form, develops computational solutions to complex spatial challenges, and explores novel modes of design creativity enabled by intelligent systems. More recently, he has been developing data-scientific frameworks to reinterpret spatial and geometric information, uncovering new design knowledge and generative processes within the built environment.
Kiarash Kiany and Jinmo Rhee, "Evaluating the Fiscal Performance of Urban Land Use Plans Through a Data-Driven Fitness Index," presented at the 31st International Conference of the Association for Computer-Aided Architectural Design Research in Asia (CAADRIA), Taiwan, 2026. This paper proposes a da...
The Transdisciplinary Scholarship Connector Grant from the University of Calgary is awarded to initiate the project Reimagining Generative Design Across Disciplines in the Era of AI. This seed funding supports the organization of a symposium and the foundation for an international consortium on gene...
Published in EPB: Urban Analytics and City Science (2026), this study by Jinmo Rhee, Kiarash Kiany, and Alberto de Salvatierra provides empirical evidence that parcel-level socioeconomic indices can be reliably inferred from urban form using deep learning. Training EfficientNet variants on over 24,0...
Contemporary studies of the built environment increasingly recognize computation as a critical mode of inquiry and creative practice. It is no longer limited to representation or visualization; rather, computational thinking has matured into a distinct design discipline that reshapes how we conceptu...
As an introductory course in computational design in the BDCI program, this course aims to develop a computational understanding of geometry and explore how design problems can be translated into sequences of machining instructions that form algorithms. Students will experience essential computation...
Presented at the Architectural Institute of Korea Conference (AIKC 2025), this paper compares three models for integrating computational design into architectural education and concludes that context-specific, strategically aligned approaches are essential for shaping the future of design education....
Presented at the Architectural Institute of Korea Conference (AIKC 2025), this paper proposes a method for synthesizing building forms using AI-driven typological knowledge, enabling designers to generate novel yet contextually grounded forms by navigating a learned latent space of existing building...
This initiative, funded by Higharc, develops an AI-driven system for generating and optimizing residential floorplans, advancing the integration of generative design into housing and real estate practice....
The project CCC x 801: An Impact Study of SAPL's Presence in Downtown Calgary is funded by the City of Calgary and the Calgary Downtown Association in collaboration with the Center for Civilization (CFC). The study investigates the cultural, economic, and urban impacts of SAPL's downtown presence, p...
Published in Technology | Architecture + Design (TAD), Vol. 9, No. 1, pp. 84–97, this paper by Jinmo Rhee and Eunjoo Oh presents an exploratory study on the pedagogical application of generative AI in architectural design studios. While most current efforts focus on design automation using image syn...
The DESTECTIC Lab, directed by Jinmo Rhee, collaborates with colleagues from the University of Calgary and beyond on the Social Innovation in Engineering for Climate-Neutral Cities project. Supported by the SSHRC New Frontiers in Research Fund (CAD 250,000), the initiative explores cross-disciplinar...
Call for Application – Master of Design Research: Computational Design Track at University of Calgary's SAPL, through DESTECTIC....
Published in EPB: Urban Analytics and City Science (2025), this research presents a computational method to investigate the common urban structure of three Rust Belt cities—Cleveland, Detroit, and Pittsburgh—that share similar urban cultures. Using a novel data format and deep neural networks for cl...
Presented at the 30th International Conference of the Association for Computer-Aided Architectural Design Research in Asia (CAADRIA 2025, Tokyo), this paper introduces an automated camp layout technology aimed at enhancing the rapid and efficient establishment of temporary settlements for wildfire e...
Contemporary studies of the built environment increasingly recognize computation as a critical mode of inquiry and creative practice. It is no longer limited to representation or visualization; rather, computational thinking has matured into a distinct design discipline that reshapes how we conceptu...
As an introductory course in computational design in the BDCI program, this course aims to develop a computational understanding of geometry and explore how design problems can be translated into sequences of machining instructions that form algorithms. Students will experience essential computation...
Undergraduate Research Assistant Bachelor of Design in City Innovation University of Calgary...
Undergraduate Research Assistant Bachelor of Design in City Innovation University of Calgary...
Graduate Research Assistant Master of Landscape Architecture University of Calgary...
Graduate Research Assistant Master of Design Research focused on Computation University of Calgary...
ABLi (Apartment Building Layout Intelligence) is the world’s first artificial intelligence system dedicated to the automated layout of apartment buildings. Conceived as a total solution for housing design automation, ABLi was commissioned by DL E&C, one of Korea’s leading construction and engineerin...
This studio is the first studio of the second stage (Year 1) in the M.Arch program. The goal is for students to develop essential foundational skills needed to become professional architects — observing, perceiving, and understanding the characteristics of spaces and learning how to create them acro...
Undergraduate Research Assistant Bachelor of Design in City Innovation University of Calgary...
Undergraduate Research Assistant Bachelor of Design in City Innovation University of Calgary...
This course aims to prepare students to modeling geometry through scripted development of data scientific schemes for architecture/design applications — that is, to introduce students to basic scripting with a focus on algorithms relating to form making and to reinforce and extend basic concepts of ...
Generative design, responsive design, robotic fabrication, and Artificial Intelligence (AI) design represent pivotal topics in the contemporary discourse on computational design. The advancement of diverse software tools has catalyzed the integration of computational methods into design processes, f...
PhD Position in Environmental Design: Computational Design Track at DESTECTIC, University of Calgary....
This course invites students to delve into the innovative realm of utilizing Artificial Intelligence (AI) in reinterpreting the typology of buildings in Calgary, aiming to foster exploration and the advancement of new design methodologies. This studio stands witness to an era where the explosive gro...
With the recent surge in generative artificial intelligence (AI), there has been a renewed interest in how these technologies can impact architecture and other creative practices. This course offers students an opportunity to understand how Generative Adversarial Networks (GAN), a deep learning-base...
This course is designed to equip students with a solid foundation in computational representation, spanning a wide range of data types, formats, and structures. This course delves into various algorithmic approaches, starting from foundational algorithms and progressing to classical and learning-bas...
From 2024 to 2025, the DESTECTIC Lab directed by Jinmo Rhee, in collaboration with the Center for Civilization (CFC), is co-leading the Return of Interest (ROI) Urban Modelling Pilot Project. Funded by the Alberta Real Estate Foundation and the City of Airdrie with a budget of CAD 250,000, the proje...
The Vice President of Research (VPR) Catalyst Grant has been awarded to initiate research on automated deployable camp layout technology for rapid, efficient, and safer refugee settlement design, addressing the urgent global displacement crisis through AI-driven design automation....
Typological analysis of building form is an important approach in urban morphology that can contribute to a deeper understanding of urban spaces. In this research, we present an inductive method, using machine and deep learning techniques, that incorporates a pipeline for constructing a building for...
Graduate Research Assistant Master of Planning University of Calgary...
Graduate Research Assistant Master of Design Research focused on Computation University of Calgary...
Graduate Research Assistant PhD Researcher University of Calgary...
This course aims to prepare students to modeling geometry through scripted development of data scientific schemes for architecture/design applications — that is, to introduce students to basic scripting with a focus on algorithms relating to form making and to reinforce and extend basic concepts of ...
Over the past years, computational methods based on deep learning—that is, machine learning with multilayered neural networks—have become state-of-the-art in main research areas in computer-aided architectural design (CAAD). To understand current trends of CAAD with deep learning, to situate them in...
This course is for visual artists, enthusiasts, and designers from different areas (game, product, architecture, building performance, etc.). Taking a stance, say of, instead of working directly with analog media, such as drawings, designers can develop algorithms and computational models that can g...
Research Intern Designer Steven Harris Architects...
Research Intern Master of Data Science and Analytics University of Calgary...
Graduate Research Assistant Master of Architecture University of Calgary...
Graduate Research Assistant Master of Design Research focused on Computation University of Calgary...
This course aims to prepare students to modeling geometry through scripted development of parametric schemes for architecture applications — that is, to introduce students to basic scripting with a focus on algorithms relating to form making and to reinforce and extend basic concepts of parametric m...
Recent research into the analysis of 3-D architectural and urban form using deep learning (DL) methods has shown potential to identify features from large collections of building data, shedding light into formal aspects of our built environment. As the application of learning-based methods expands a...
This course is for visual artists, enthusiasts, and designers from different areas (game, product, architecture, building performance, etc.). Taking a stance, say of, instead of working directly with analog media, such as drawings, designers can develop algorithms and computational models that can g...
This paper reports a pedagogical experience that incorporates deep learning to design in the context of a recently created course at the Carnegie Mellon University School of Architecture. It analyses an exercise called Bubble2Floor (B2F), where students design floor plans for a multi-story row-house...
Published in Artificial Intelligence in Urban Planning and Design, this chapter introduces morphometry as a machine learning-driven approach to urban form analysis, demonstrating how AI can trace latent patterns of urban types and fabrics to transform our understanding of city space....
DEEPRISE won the Grand Prize at the international Digital Architecture competition (DA 2021) hosted by the Architectural Institute of Korea (AIK) and the Korea Ministry of Land, Infrastructure and Transport, demonstrating generative deep learning for high-rise building form design....
This course aims to prepare students to modeling geometry through scripted development of parametric schemes for architecture applications — that is, to introduce students to basic scripting with a focus on algorithms relating to form making and to reinforce and extend basic concepts of parametric m...
Jinmo Rhee's context-rich urban analysis video was showcased at the Austrian Pavilion of the 21st Venice Biennale, presenting a new data format that treats the city as a set of individual urban spaces to uncover hidden patterns beyond traditional maps and diagrams....
Descriptive geometry deals with manually solving problems in three-dimensional geometry through working with two-dimensional planes using these basic mechanical tools. This elective course is mainly about the techniques of manually solving three-dimensional geometry problems. Descriptive geometry i...
With the recent blooming of artificial intelligence (AI) and machine learning (ML) came a renewed interest in how these technologies may impact architecture and other creative practices. Introduction into Machine Learning in Design introduces students to this emerging field, giving them the tools to...
Jinmo Rhee and his colleague write a chapter about deep learning and design for a design magazine, Rumoer. The article focuses on generative design in the context of architectural configuration, introducing two projects: An Academy of Spatial Agents and Deeprise....
Geometry is at the very core of visual design—from the very early conceptual form finding to the more detailed assembly and construction. In practice, designers are showing an increasing interest in being able to compute and fabricate non-simple and sometimes intricate geometric forms. Contemporary...
Jinmo Rhee and his design colleagues founded CRAIDL, an AI research initiative at Carnegie Mellon University's Computational Design Laboratory, focusing on the intersection of AI and art, design, engineering, and architecture....
Jinmo Rhee's research proposal about AI for Urban Architecture was selected for the Architectural Design Human Resource Development Project 2020 grant, supported by KAIA and the Korean Ministry of Land, Infrastructure, and Transport....
Jinmo Rhee's research team signed a three-year R&D contract with DLE&C to develop an advanced AI system for automatically generating apartment complex layouts, leveraging machine learning to optimize site planning and building codes....
This course will act an introduction to a variety of modes of thinking, methods of work and scales of operation. The purpose will be to begin to develop a critical practice which considers materiality, virtuality, time and space. The studio will be rhizomic, it will form two interlocking groupings i...
Collaborator Deep Learning Expert and Co-founder Flumio...
This course aims to prepare students to modeling geometry through scripted development of parametric schemes for architecture applications — that is, to introduce students to basic scripting with a focus on algorithms relating to form making and to reinforce and extend basic concepts of parametric m...
Jinmo Rhee received the 2020 Young CAADRIA Award for his promising research exploring Artificial Intelligence and Machine Learning techniques in architecture....
Director Assistant Professor School of Architecture, Planning, and Landscape University of Calgary...
Due to continuous GuSH funds, the Digital Media Series project has arrived at its second destination, Grasshopper, and is on smooth sailing to its third destination, GH Python. Digital Media Series is a project to publish digital and physical materials of digital media courses in the School of Archi...
This is a book about architectural design and artificial intelligence technology in korean. The book provides opportunity to imagine how artificial intelligence technology and architectural design can meet and be integrated through several experiments. Prior to the experiments, this book look back a...
As analog mechanisms; as metaphors; as bodily extensions or prosthetics; as material systems; as building envelopes; as partners of humans. This course takes computers outside the box and outlines a journey of discovery revealing computation as the connective tissue encompassing multiple facets of a...
Due to the recent innovations and increased accessibility of Deep Learning (DL), there is an apparent paradigm shift in the field of architectural design to data driven design process. This emerging trend has paved the first steps toward the advent of AI-based architectural design. In this sense, we...
Urban structure is the arrangement of land use in urban areas, in other words, how the land use of a city is set out1). In the urban structure, morphological approaches of urban configuration is urban fabrics. It's a way of looking at a city as a tissue of cells and recognizing it with the patterns ...
Jinmo Rhee has won the international competition at Digital Architecture (DA 2019) hosted by the Architectural Institute of Korea (AIK) and the Korea Ministry of Land, Infrastructure and Transport. His work "MASSIGNER, Housing Design Tool based on Artificial Intelligence" is a prototype Grasshopper ...
Jinmo Rhee's MSCD thesis "Context-rich Urban Analysis and Generation Using Artificial Intelligence: A Case Study in Pittsburgh, PA" was selected by the Korean Institute of Architects (KIA) for the special exhibition "Korean Student in the United States Special Exhibition 2019" at the KIA Convention ...
Building layout problem has long been an important issue not only in architectural design but also in computer-aided architectural design (CAAD) and computational design (CD). This problem has evolved into design issues that respond to the social demand of highly complex variables along with site in...
This course will act an introduction to a variety of modes of thinking, methods of work and scales of operation. The purpose will be to begin to develop a critical practice which considers materiality, virtuality, time and space. The studio will be rhizomic, it will form two interlocking groupings i...
'Underground Plaza' project is the part of the 'Underground Campus of Carnegie Mellon University' project. The site is now filled with grass and landscaping, and is the center of the campus between buildings such as the Cohon University Centre, the CFA, the Hunt library, and the Drama School. The ma...
This paper reports on the analytical potential of machine learning methods for urban analysis. It documents a new method for data-driven urban analysis based on diagrammatic images describing each building in a city in relation to its immediate urban context. By statistically analyzing architectural...
The Korean alphabet, known as Hangul in South Korea or Chosŏn'gŭl in North Korea, has been used to write the Korean language since its creation in the 15th century by King Sejong the Great. Hoonminjeongeum (Left) and Statue of King Sejong in Seoul (Right) It is the official writing system of Korea...
It is not unusual, nowadays, to find scaled building models with complex geometries of their facades and laser-burn marks in architecture schools. Even, 3D-printed models are also frequently found. Although there are prevalent critiques that nowadays architecture students are focusing form itself ra...
Developments in Computer-Aided Design (CAD) continues to influence the nature of architectural design practice. As a communication and design tool, CAD software not only supports the practical operations of architectural design practice but also introduces design theories that are unique to the medi...
This paper (essay) reports an experiment to replace command prompt bar and coordinates input system with voice and gaze as an alternative and speculative CAD system based on observation and analysis of emulation of an outdated CAD system, AutoCAD R12 MS-DOS. The emulation process provided materials ...
Diagrammatic image dataset for Pittsburgh (DID-PGH) is a urban morphology dataset. DID which contains the architectural relationship of the city, and experimented with the recognition and use of this dataset. With the AI models to handle DID, the computer has shown the possibility of a design system...
This project is analysis and generation of typology of building footprint in East Liberty and Shadyside in Pittsburgh. Deep learning techniques not only statistically processed geoemtries but also the their relationships. Extracting the target building footrpint and its neightbor buildings footprint...
Collaborator Machine/Deep Learning Researcher Carnegie Mellon University...
Collaborator Assistant Professor Fay Jones School of Architecture and Design University of Arkansas...
This paper reports on the reconstruction process of Shape Grammar Interpreter (SGI) (Krishnamurti 1982a) and its values as the first interpreter of shape grammar. This research has two points on SGI reconstruction: archiving and reconstruction. It was the beginning of the reconstruction to gather th...
Investigating Implicit Patterns of Design Principles with Deep Learning. An apartment complex in South Korea is a group of apartment buildings in the form of collective housing. To prevent the negative impact of large and dense occupations on many sectors of the city, the South Korean government pr...
This research was conducted to improve Robotic Post-Processing of 3D Printed Concrete of Manufacturing Futures Initiative (MFI) for investigating the automatic concrete delivery and control system with digital and integrated robotics control system. The research is divided into two parts. One is des...
Collaborator Professor Emeritus School of Architecture Carnegie Mellon University...
Design Computation is work about the geometry, algorithm, and data structure with computing, especially Python coding. In this project, individual shape of geometry is not focused. But the it focused more on representation of the algorithm through geometry. Shape grammars, stack, KD-Tree, circle-pac...
Massigner is a kind of a prototype of Grasshopper Plug-in, searching an optimized volume responding to given context. The result of this software is a mass within the boundary. But this mass cannot be the result of the design. It is a starting point of design. The mass produced by the building codes...
Near the newly renovated oil stockpile in Seoul, a community workshop was planned as a base camp for the Social Economy. This collective space is where small businesses provide services and goods for society and run their business. Courtyards created by cargo container are the main spaces in this c...
The visitors will be simulated using vehicles. It shows two types of vehicles: the connoisseur and the kid. The connoisseur is an art expert and wants to make the best of her time at the museum, exploring and analyzing the artwork. She has the artwork exhibited as a list of attractors. When she gets...
This project is a renovation of 50-years old house in Seoul. The structure system is a composition of brick and timber. Since the quality of the wood beam and floors were great in aesthetic and structural view, the wood floor and ceiling are left. After demolishing some unnecessary parts including p...
Massigner is a kind of a prototype of Grasshopper Plug-in, searching an optimized volume responding to given context. The result of this software is a mass within the boundary. But this mass cannot be the result of the design. It is a starting point of design. The mass produced by the building codes...
This is a korean book for Rhino3D. It provides readers with specialized use of rhino in architecture design, not product design or jewerly design. With proper mdoeling logics, variety of tips and guides, this book can help reader realize their design in virtual 3d space. In the book, starting from ...
The unofficial Rhino3d Workshop 2015 in KNUARCH(Dep. Architecture, Korea National University of Arts). Rhino3d, Vray, and Grasshopper. Seoul Organized by Jinmo Rhee...
This project is a interior work to design a salon-style cafe in residential area. Client wanted to hybrid cafe with some communal programs: library, theatre, concert stage, etc. This cafe space provide various small and salon-scale activities to vitalize the newly developed community. This space is...
This is a renovation project of old culture center. The culture center has five stories and one basement floor. Prior to renovation, the building had mixed functions such as dance practice rooms, offices, and warehouses. The café on the ground floor, which connects the back yard and terrace with th...
Ring Bench is a parametric-shaped furniture in a park. This project was a part of the Guemcheon Public Park which was a military camp before. The bench consists a irregular and circular courtyard inside of the ring. Differentiation of bench height and depth will provide various functions to repsond...
The Rhino3d Workshop 2014 in E-In Architects and Engineerings. Rhino3d, Vray, and Grasshopper. The participants are architects but they were the basic user or novice user on Rhino3d. E-In Architects and Associates, Seoul Organized by Jinmo Rhee...
SKYDIUM...
The project is to rebuild the old-train bridge into a pedestrian bridge to provide citizens with a pleasant waterfront space. The old-train bridge has many thick and huge columns which was blocking the waterfront view, but the main columns were sturdy enough to be re-used as main columns of the new ...
Ann's Garden is the brand of the flower shop in Korea. This project is interior project to design a training center for people who want to be a florist. The main design focus is to bring natural space outside into the main lecture space while satisfying the functionality that flower shops should hav...
The quailities of school in an apartment complex can be defined thorugh the surface, providing the flexibility for sharing shcool spaces with students and neighbors and student's high-level accesibility to outside from their classrooms. The surfaces, despite simple-looking, is the main idea on ident...
Sculpture project. Baeksansoo is a brand of spring water company. Artist Ahn wants to make the moment that natural water comes out from ground. The water object is particle-based modeling. After simulating particle movements for representing fluids, particles are converted into mesh surface to form ...
Oval courtyard is proper space that elderly people can use with safety and pleasant. Furthermore, the space can be used for small community program. The image seems abstract. It wins the competions. There is only one true "Sandwich Cubano" - that classic combination of roast pork, ham, Swiss cheese...
The project is to redevelop the area of Yimoon 1. The old urban structures has been developed far from the limitation of the architectural codes and regulations, showing traditional town structure on the mountain slope with modern residential buildings. Thus, it has a lot of dead ends, which plays a...
This is a renovation project of old gym in the campus of Korea National University of Arts. Since the area is restricted by Cultural Heritage Management regulation of the UNESCO, constructing new building or addition is banned. Thus, the proposal is to renovate roof and facade system to improve the ...
School with enviromental techinics. In the images were intended to show the pleasant spaces. The image shows cafeteria space of the school. There is only one true "Sandwich Cubano" - that classic combination of roast pork, ham, Swiss cheese, mustard, and pickles, pressed on a la plancha until the e...
Project Noolwangri is an instant and temporary project. It is an experiment to make a instant space with proper functions. The container includes a small warehouse and a shelter. There is only one true "Sandwich Cubano" - that classic combination of roast pork, ham, Swiss cheese, mustard, and pickl...
Two simple rings integrate the activities which are sparsed and dispersed without proper facilities. On the plan view, it seems just two rings, but actually it has the differences from its height. The differences are origined the context and programs. "It's fragmented by the speed of the bicycle. D...