Industrial AI Laboratory (IAI Lab)

School of Mechanical Engineering,

Chung-Ang University

중앙대학교 산업 인공지능 연구실

Industrial AI Laboratory (IAI 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

[01/19/24] Seminar talk at Korea Advanced Institute of Science and Technology (KAIST)

Sooyoung Lee gave a seminar talk entitled "My Academic Journey from Graduate Student to Incoming Professor" at Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology (KAIST).

초록: 본 세미나는 그간 박사과정 동안의 연구 경험과 그 과정에서 얻은 교훈, 나아가 박사후연구원 및 교수 지원 과정에 대한 실질적인 조언을 드리고자 기획되었습니다. 먼저, 대학원생으로서 연구 계획 수립부터 결과 도출까지의 과정과 그 속에서 경험한 도전 및 성공 사례들을 소개합니다. 또한, 학위 과정을 마치고 박사후연구원 및 교수직의 진로를 위한 준비 과정, 지원 전략 등 전반적인 경험에 대해 공유하고자 합니다. 향후 본인의 연구 분야를 설정하고 학문적 커리어를 발전시켜 나가는 데 있어 통찰력을 얻을 수 있는 기회가 되길 바랍니다.