Industrial AI Lab

School of Mechanical Engineering,

Chung-Ang University

중앙대학교 산업 인공지능 연구실

Industrial AI Lab
School of Mechanical Engineering, Chung-Ang University

중앙대학교 산업 인공지능 연구실

NEWS

Recent News at IAI Lab

[02/27/26] 물리지식기반 인공지능 워크샵

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대한기계학회 기계인공지능연구회에서 주관한 

'물리지식기반 인공지능 워크샵 (Scientific Machine Learning Workshop)'이 성황리에 마무리되었습니다.
이번 행사에는 200명이 넘는 분들이 함께 해주셨으며,
Agentic CAE, Physics-informed AI, Foundation Models, Explainable Data-driven Physics 등 

다양한 주제를 통해 물리지식기반 인공지능 융합이 열어갈 새로운 방향을 모색할 수 있었습니다.

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OUR VISION

Engineering Meets AI,

AI Meets Engineering.

The overarching objective of the IAI Lab is to pioneer AI-driven advancements by leveraging the strength of engineering background. By integrating the knowledge of diverse engineering disciplines ranging from mechanical engineering, physics, and computer science, we harness the full potential of artificial intelligence (AI) in redefining engineering processes and outcomes. We are dedicated to developing advanced AI methods based on engineering and data-driven insights, enabling us to model the complexities of various engineering systems well. Our strategies extend beyond conventional and existing approaches by empowering AI-enabled engineering, thereby facilitating unprecedented analysis, decision-making, optimization, and so on. Through this synergy of engineering and AI, the IAI Lab strives to pioneer a new wave of AI innovation, elevating the engineering landscape and further making the future industry smarter and more efficient.

RESEARCH THRUST

Towards Seamless Industrial AI

IAI Lab conducts extensive research to seamlessly integrate artificial intelligence (AI) across various industrial aspects, from physical phenomena to manufacturing processes, aiming to enhance efficiency, predictability, and intelligent functionality.

Engineered Artificial Intelligence

Domain specialization of AI for tailoring systems with fundamentals, principles, and mechanisms

Generative/Agentic AI for Engineering

Collaborative and exploratory AI-driven decision-making for autonomous engineering process

AI for Future Manufacturing

AI-enabled intelligent and autonomous manufacturing enabling adaptive, efficient, and resilient production

Extended Physical AI (E-PAI)

Physical intelligence with mechanistic understanding and knowledge integration for generalizable real-world interaction

CORE APPLICATIONS

AI+X Impacts

OUR VISION

Engineering Meets AI,

AI Meets Engineering.

The overarching objective of the IAI Lab is to pioneer AI-driven advancements by leveraging the strength of engineering background. By integrating the knowledge of diverse engineering disciplines ranging from mechanical engineering, physics, and computer science, we harness the full potential of artificial intelligence (AI) in redefining engineering processes and outcomes. We are dedicated to developing advanced AI methods based on engineering and data-driven insights, enabling us to model the complexities of various engineering systems well. Our strategies extend beyond conventional and existing approaches by empowering AI-enabled engineering, thereby facilitating unprecedented analysis, decision-making, optimization, and so on. Through this synergy of engineering and AI, the IAI Lab strives to pioneer a new wave of AI innovation, elevating the engineering landscape and further making the future industry smarter and more efficient.

RESEARCH THRUSTS

Towards Seamless Industrial AI

IAI Lab conducts extensive research to seamlessly integrate artificial intelligence (AI) across various industrial aspects, from physical phenomena to manufacturing processes, aiming to enhance efficiency, predictability, and intelligent functionality.

Engineered Artificial Intelligence

Domain specialization of AI for tailoring systems with fundamentals, principles, and mechanisms

AI for Future Manufacturing

AI-enabled intelligent and autonomous manufacturing enabling adaptive, efficient, and resilient production

Generative/Agentic AI for Engineering

Collaborative and exploratory AI-driven decision-making for autonomous engineering process

Extended Physical AI (E-PAI)

Physical intelligence with mechanistic understanding and knowledge integration for generalizable real-world interaction

CORE APPLICATIONS

AI+X Impacts

MOMENTS

Lab Activities