Jinmo Rhee

Jinmo Rhee is a er and architect interested in integration of artificial intelligence and space design. Jinmo is studying his master and doctoral degree in computational design in Carnegie Mellon University, received his Bachelor of from Korea National University of Arts (KNUA), and completed Royal Institute of British Architects (RIBA) part I and part II. He with generative systems and programming to explore and analyze spatial quality and implements technologies based on artificial intelligence to bridge urban and architectural design. Currently, Jinmo is investigating the application of machine learning in architectural and spatial design with ‘contextness’and expanding his border to . Click here to contact Jinmo and download CV



The Grand Prize from Digital Architecture and Best Paper PrizeJinmo Rhee has won the international competition to Digital Architecture (DA 2019) hosted by Architectural Institute of Korea (AIK) and Korea Ministry of Land, Infrastructure and Transport. His work "MASSIGNER, Housing Design Tool based on Artificial Intelligence" is a prototype of Grasshopper Plug-in, searching an optimized volume responding to given two main variables: the building codes and voids options. This plug-in includes genetic algorithm (GA) to propose a proper volume with voides to given building codes. Not only suggesting a properly generated volume through optimization by GA, this plug-in also provide a simple layout of interior by minimizing the number of corner and creating optimized rectangular space.
This plug-in goes beyond just showing automation and is a good example of how AI can be linked and used in construction. The plug-in, which filters out unnecessary ones from a number of options and suggests the final output through specific options, illustrates the potential of the architecture with AI.
Recognized as a Project Focusing on Praticality that Integrates Architecture and AI ... AIK said "This year, all the entries will be printed on the panel and displayed at the Fall Conference of the Architectural Institute of Korea held at Chungnam National University...Overall submissions for 2019 not only actively utilize the latest technologies in the AEC / FM field, but also feature works that focus on their practical use...MASSIGNER, the winnig project in the field of digital application technology, stands out as a housing design program that uses one of artificial intelligence technology, genetic algorithm..."
Furthermore, this work was submitted to Annual Architectural Conference of AIK and won the Best Paper Prize: “A Study of Automation of Housing Design Method Using Artificial Intelligence: Optimal Space Exploration with Genetic Algorithm Based on Building Codes”. Click here to see more details about Massigner.22.Nov.2019 Korean Institute of Architects Convetion and Exhibition 2019 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” in KIA Convection and Exhibition 2019 after winning a juried competition. With a focus on Pittsburgh’s urban fabric, Rhee’s MSCD thesis explores how computational methods may enable a new approach to analyzing a city’s morphology. In developing his thesis, Rhee worked with Carnegie Mellon School of Architecture professors Daniel Cardoso Llach, Ramesh Krishnamurti, Daragh Byrne, and Eddy Man Kim, and School of Design professor Molly Wright Steenson. His work 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 and contextual features in this new dataset, the method can identify clusters of similar urban conditions and produce a detailed picture of a city’s morphological structure. Remapping the clusters from data to 2D space, our method enables a new kind of urban plan that displays gradients of urban similarity. Taking Pittsburgh as a case study we demonstrate this method, and propose “morphological types” as a new category of urban analysis describing a given city’s specific set of distinct morphological conditions. The paper concludes with a discussion of the implications of this method and its limitations, as well as its potentials for architecture, urban studies, and computation. Click here to see more details about this project.24.Oct.2019 2018 GuSH Research Grants from CMUJinmo Rhee has received 2018 Graduate Small Project Help (GuSH) Research Grants from Carnegie Mellon University.GuSH Research grants provide small grants to graduate students for forwarding their research at Carnegie Mellon University. Grants are provided by the Graduate Student Assembly (GSA) and the Provost's Office, and are managed by the Office of the Assistant Vice Provost for Graduate Education. GuSH grants are intended to be used against costs incurred in the completion of research required for a graduate degree at Carnegie Mellon. These funds are intended to be utilized by students whose personal or departmental resources have been exhausted.
Jinmo Rhee, "Computational Design Study Material Development: Introduction to Digital Media”
Rhinoceros, The first book of Digital Media Series is releasedDue to GuSH funds, Digital Media Series project was able to be initiated. Digital Media Series is a project to publish digital and physical materials of digital media courses in school of architecture. Rhinoceros, one of this series can be published through Amazon. Click here to see more details about this project.24.Oct.2018