About

Lab Overview

Morpho Lab is a research laboratory based in the Department of Design Convergence at Kongju National University, archiving research, papers, and exhibitions (artwork presentations) as unified research outputs.

We conduct design research spanning Physical AI, Human-Robot Interaction, and spatial systems through morphogenic processes.

Director / Affiliation

Ju Hae Lee

Associate Professor

Researching new interaction paradigms through the convergence of design and technology. Conducting research focused on form generation and interaction design in the fields of Physical AI, Human-Robot Interaction, and Spatial Computing.

Professor, Department of Design Convergence, Kongju National University

Research Philosophy

  • —Research questions determine methodology. Each research begins with a clear question and selects an appropriate methodology.
  • —Outputs (papers/exhibitions/prototypes) document the research process. The process itself has value, not just the results.
  • —We explore new perspectives through interdisciplinary collaboration. We traverse the boundaries of design, engineering, and cognitive science.
  • —We derive design principles through experimentation and iteration. We value the cycle of theory and practice.
  • —Exhibitions are a way of validating research. Validation through space and audience is an important stage of research.

Capabilities

  • • Experimental design and user research: Quantitative/qualitative research methodologies, experimental design, data collection and analysis
  • • Prototype development: Physical prototypes (robots, installations), digital prototypes (XR, interactive systems)
  • • Exhibition planning and installation: Research-based exhibition planning, spatial design, installation production
  • • Data analysis and visualization: User research data analysis, statistical analysis, result visualization
  • • Generative AI pipeline development: Utilizing generative models such as GANs and VAEs, developing form generation workflows
  • • Computational design and optimization: Parametric design, genetic algorithms, multi-objective optimization