2025
[07/07/25~07/11/25] Prof. Seungchul Lee organizes "Theme Area T14: AI Applications for Sound and Vibration and Condition Monitoring" as a theme co-chair at the 31st International Congress on Sound and Vibration (ICSV31), Incheon, Korea
Theme Area T14: AI Applications for Sound and Vibration and Condition Monitoring
This theme area covers wide range of topics related to machine learning and deep leaning applications in sound and vibration problems. Machine diagnosis, fault detection, prediction of useful life, sound event detection, localization and separation of sources are covered but not limited to these topics. New AI applications of sensor-related technologies utilizing sound and vibration domain knowledges e.g. health care devices, physics informed AI, generative AI for sound and vibration are also covered in this theme.
[02/17/25~02/19/25] 대한금속재료학회 인공지능재료과학 분과, 고려대학교에서 재료인공지능 겨울학교 진행
[02/11/25] 대한기계학회 기계인공지능 연구회, Scientific Machine Learning 심포지엄 (포스코 센터)
[02/10/25~02/12/25] 카이스트 기계공학과, 'AI 기반 설계: 해석에서 설계 최적화까지' 동계 산학협동 강좌, 대전
[02/05/25~02/07/25] iAI attends the 2025 Nature Conference 'Materials for AI, AI for Materials' at KAIST
[01/23/25] iAI lab joint workshop at Jeonju
[01/20/25~01/22/25] 기계인공지능 연구회에서 주관하는 고급인공지능 강습회, 전북대
이승철 교수: Physics-informed Neural Operators Networks and Generative AI to Solve Mechanical Engineering Problems
[01/18/25~01/19/25] 기계인공지능 연구회 이사회(겸 신년회), 서울
[12/23/24] iAI Year-End Review
[12/18/24] K-MDS 사용자 클럽 통합 워크숍 & 인공지능 기술 워크숍, 대전
박범수 박사: 확산 모델을 활용한 고엔트로피 합금 설계
[12/17/24] 이승철 교수, 한국건설기술연구원에서 '물리지식기반 인공지능' 세미나 진행
[12/11/24] KAIST 기계공학과, 교직원 송년회