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

OUR VISION

Engineering Meets AI,

AI Meets Engineering.

Generated by diffusion model
Generated by diffusion model

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 physics-guided 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-aided engineering, thereby facilitating unprecedented perception, 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.

Physics-guided AI

Scientific and engineering knowledge-guided AI for generalization

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Generative AI for Engineering

Novel discovery of engineering structures and materials for desired properties

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AI for Smart Manufacturing

Data-driven approaches to unravel the relations between process parameters and outcomes

View more

Advanced System Intelligence

Innovative metrology, perception and monitoring for diverse engineering systems

View more

CORE APPLICATIONS

AI+X Impacts

NEWS

Recent News at IAI Lab

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 physics-guided 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-aided engineering, thereby facilitating unprecedented perception, 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.

(Generated by diffusion model)
(Generated by diffusion model)

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.

Physics-guided AI 

Scientific and engineering knowledge-guided AI for generalization

View more

AI for Smart Manufacturing

Data-driven approaches to unravel the relations between process parameters and outcomes

View more

Generative AI for Engineering

Novel discovery of engineering structures and materials for desired properties

View more

Advanced System Intelligence

Innovative metrology, perception and monitoring for diverse engineering systems

View more

CORE APPLICATIONS

AI+X Impacts

[241206] IAI Lab, 공학학술제 부총장상 수상

IAI Lab 연구팀(이규원, 방승준, 정훈형)이 '2024 CAU 공학학술제' 에서 행정부총장상을 수상하였습니다.

이번에 진행된 'CAU 공학학술제'는 공과대학, 소프트웨어대학, 창의ICT공과대학이 공동으로 개최하는 학술제로, 

공학계열 소속 10개학부에서 선별된 총 110여팀의 연구 주제 중 가장 우수한 연구성과를 창출한 팀에게 상이 수여되었습니다.