MS344B Agentic AI and Physics-Informed Machine Learning for Next-Generation Design and Manufacturing II
Main Organizer:
Prof.
Seunghwa Ryu
(
KAIST
, Republic of Korea
)
Chaired by:
Prof. JAEHO JUNG (chungbuk national university , Republic of Korea) , Dr. Thomas Hugle (TNG Technology Consulting GmbH , Germany)
Prof. JAEHO JUNG (chungbuk national university , Republic of Korea) , Dr. Thomas Hugle (TNG Technology Consulting GmbH , Germany)
Scheduled presentations:
-
Robust State-Based Multi-Agent-Systems for Complex Engineering Workflows
-
A Multi Agentic LLM-Based Expert System for Injection Molding Process
-
Accelerating Automotive Reliability Engineering using an Agent-based AI System
-
An End-to-End LLM-Agent Framework for Automated CAD–FEA–Optimization Workflows
-
AI-Assisted Generation and Validation of FEM Geometry and Mesh for Multibody Systems
-
A Framework for Sketch-Based Generation and Validation of Multibody Models Using LLMs
