Yunjoung Cho

EPFL ENAC IA LIPID
LE 1 114 (Bâtiment LE)
Station 18
1015 Lausanne

Web site:  Web site:  https://lipid.epfl.ch

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Education

Ph.D.

Civil and Environmental Engineering

EPFL (École polytechnique fédérale de Lausanne)

2025

B.A.

Cognitive Neuroscience

Brown University

2021

B.A.

Urban Studies

Brown University

2021

B.F.A.

Interior Architecture

RISD (Rhode Island School of Design)

2021


Awards

2025 : BRIDGE Proof of Concept : Innosuisse & Swiss National Science Foundation

2024 : Artist-in-Residence Award for Victor Horta Museum : Réseau Art Nouveau Network

2024 : PhD Mobility Award : EDCE

2023 : Sasso Art Residency Award : Casa Sasso

2021 : SciFilmIt Public Prize : SciFilmIt Geneva

Research

Teaching & PhD

Teaching

Architecture

AR-464 Daylighting Design Seminar

MA, 3 credits, Architecture

Role: Co-Instructor (with Prof. M. Andersen, Dr. S. Wasilewski)

Co-designed and taught a seminar for master’s students on integratingdaylighting concepts into studio projects and exploring daylight’s perceptual qualities in architecture.

MSc Master Thesis Supervision

Thesis Title: Dynamic Window Views and Visual Attention

Discipline: Computer science (30 credits)

Role: Project Supervisor (with Prof. M. Andersen, Prof. J.P. Thiran)

Mentored a master’s student in developing machine learning and deep-learning algorithms to analyze and predict visual attention to movement in window using real-time eye-tracking measurements (ETMs).

AR-442 Comfort and Architecture

MA, 3 credits, Architecture

Role: Teaching Assistant (lectures, labs for software, project critique)

Structured course content and semester projects and led lab sessions focused on geometrical modelling and evaluating daylight and thermal performance in built structures using advanced digital software.

MsC Master Semester Project Supervision

Project Title: Analyzing and Quantifying Luminous Changes

Discipline: Computer science (12 credits)

Role: Project Supervisor (with Prof. M. Andersen, Prof. P. Fua)

Guided a master’s student in designing computer vision algorithms to analyze and quantify temporal changes in brightness and luminosity for sky dynamics.

CS-433 Machine Learning

8 credits, Computer science

Role: Project Supervisor (with Prof. N. Flammarion, Prof. M. Jaggi)

Supervised two teams of master’s students in developing machine learning algorithms for view-out impression analysis and high dynamic range (HDR) signal recovery from low-dynamic range (LDR) images.

MSc Master Internship Supervision

Project Title: Sky Dynamics Categorization

Discipline: Computer science

Role: Project Supervisor (with Dr. DH. Kim, Prof. M. Andersen)

Supervised a master’s-level researcher developing a novel image processing methodology for analyzing sky dynamics in architectural views, comparing the results to CIE sky classifications and daylighting standards.

MA Master Semester Project Supervision

Project Title: Rebuilt: Reversible & Low-Tech construction

Discipline: Architecture (4 credits)

Role: Project Supervisor (with Prof. M. Andersen, Dr. S.A. Moreno)

Mentored three master's students in designing and simulating window systems to optimize daylight performance and ensure visual comfort for a new construction project in Lausanne.