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

[10/10/24] IAI Lab, 산학협력경진대회 최우수 및 우수상 수상

fbc1a942f6148.png

IAI Lab 연구팀이 '중앙대학교 산학협력 및 MESTER 경진대회' 에서 최우수, 최우수 및 우수상을 수상하였습니다. 모두 축하합니다.

- 디지털 트윈 응용을 위한 물리정보신경망 기술 연구 (손병우, 간형배)

- 대드론 탐지를 위한 AI 기반 음향 신호 복원 및 분리 기술 연구 (이정우, 곽성민, 라동현)

- 불확실성 기반 AI 가상 모터 토크 센서 기술 연구 (이규원, 방승준, 정훈형) 

2a40dd2578d5f.png

0ea3d7eff07e5.png


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