(Poster Presentation) LLM-Based Agentic LCA Framework for Autonomous Environmental Assessment

SangGu Yun presented “Development of an LLM-Based Agentic LCA Framework for Autonomous Environmental Assessment” at the 2026 Annual Conference of the Korean Society of Environmental Engineers (KSEE) at Jeju Shinhwa World, Jeju, Korea. The research focuses on developing an autonomous life cycle assessment framework that integrates large language models, retrieval-augmented generation, and LCA computation to support automated environmental assessment.

Greenest A.I. Lab
Greenest A.I. Lab
Led by Prof. SungKu Heo

We work for digital and autonomous solutions for a climate-resilient future, and push boundaries across autonomous systems, decarbonization, and circular innovation.