Jing Lin Koh

Singapore University of Technology and Design

Papers

2

Total Citations

7

H-Index

2

About

Jing Lin Koh is a researcher working at the intersection of computational design, digital fabrication, and architectural engineering. Her work focuses on form-finding methodologies that bridge physical simulation with advanced robotic fabrication techniques, drawing inspiration from classical experiments in minimal surfaces and tensile structures to develop innovative approaches for contemporary construction. Koh's most notable contributions center on the integration of parametric design tools with industrial robotics to enable rapid, flexible, and materially efficient fabrication processes. Her 2018 paper on glass fiber reinforced concrete panels — her most cited work with 5 citations — demonstrates how thermoformed molds produced through robotic workflows can expand the possibilities of architectural form-finding, making complex geometries more accessible and economically viable. Her complementary 2017 publication further investigates the conceptual and practical fusion of physical simulation principles with digital fabrication pipelines. Though her publication record is still emerging, Koh's research speaks to a growing movement within architecture and engineering that values the dialogue between analog intuition and computational precision. Her work is particularly relevant for students and practitioners interested in how robotic fabrication can democratize and accelerate experimental design processes, opening new frontiers in structural form and material expression.

Research Focus

Key Achievements

2
H-Index
2
Papers
7
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Form-finding with robotics: Rapid and flexible fabrication of glass fiber reinforced concrete panels using thermoformed molds
5 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Singapore University of Technology and Design

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago