IDEAS Lab builds the mathematics and software behind ship design — from computer-aided geometric design (CAGD) and hull form modeling to AI-integrated design automation and, ultimately, connected design–production automation in the shipyard.
석사 · 박사 · 석박통합과정 대학원생, 박사후연구원, 학부연구생을 모집합니다.
Build the next generation of ship design tools with us — from the geometry of curves and surfaces to LLM agents and shipyard automation. Students need no prior research experience — curiosity and interest in programming matter most.
Mathematical foundation for curve and surface representation: B-splines, T-splines, G¹ Bézier interpolation over curve networks with T-junctions.
Computer-aided ship design: constraint-satisfying hull form generation, variation, and reconstruction for design and CFD.
Reinforcement learning, ML surrogate models and LLM agents with function calling for intelligent hull form design.
Industrial AI beyond the hull: corrosion inspection, outfitting design automation, and ship-operation data analytics.
Intuitive design + integrated design–production automation
In the next five years we aim to build an LLM-based early ship design automation framework, extending our NRF, KRISO and KEIT projects. Looking further ahead, we work toward design systems usable by non-specialists, 3D design models linked directly to welding robots, next-generation shipbuilding CAD kernels, and production automation robotics.
Recent highlights — see all publications.
Engineering agent with RAG, function calling, a geometry kernel and CFD surrogate models.
Agents vary fore and aft parts to minimize total resistance (JCDE, 2024).
Changing the prismatic coefficient directly on the hull surface (IJNAOE, 2024).
