2026. 01. 19-22

2026 인공지능 겨울학교 (대한기계학회 기계인공지능연구회) 

Prof. Ha delivers a tutorial on the Foundation Model and Data-efficient Learning at 2026 KSME AI summer school, orginized by KSME AI research group.

2026. 01. 01

새로운 멤버

"이도훈", "이정해", "정인환", "조민혁" joined our lab as research interns. Welcome!

2025. 09. 01

새로운 멤버

"김한솔" joined our lab as research interns. Welcome!

2025. 10. 17

논문 게재

Our paper entitled "Deep Learning-Based Cross-Domain Tacholess Instantaneous Speed Estimation of Rotating Machinery With a Selective Multi-Order Frequency" was accepted by IEEE Sensors Journal (IF 4.5, JCR Rank 19.6%).

2025. 10. 17

논문 게재

Our paper entitled "Deep Learning-Based Cross-Domain Tacholess Instantaneous Speed Estimation of Rotating Machinery With a Selective Multi-Order Frequency" was accepted by IEEE Sensors Journal (IF 4.5, JCR Rank 19.6%).

2025. 08. 21-22

제 14회 PHM 리더양성을 위한 전문기술 강좌

[팝업특강] 스마트제조 PHM 위한 이론과 실제: LG전자 현장 성공사례로 배우는 실전 마스터 클래스

Prof. Ha delivers a tutorial on the PHM
[Special Popup Lecture] Theory and Practice for Smart Manufacturing PHM
: Practical Master Class Learning from LG Electronics’ On-Site Success Cases

2025. 07. 14-16

2025 인공지능 여름학교 (대한기계학회 기계인공지능연구회) 

Prof. Ha delivers a tutorial on the Data-efficient Learning at 2025 KSME AI summer school, orginized by KSME AI research group.

2025. 06. 11

논문 게재

Our paper entitled "Spectral kurtosis attention network (SKAN): Synergizing signal processing and deep learning for fault diagnosis of rolling element bearings" was accepted by Expert Systems with Applications (ESWA) (IF 7.5, JCR Rank 5.2%).

2025. 05. 29

수상

Our paper entitled "회전 설비 고장 진단을 위한 물리 정보 기반 인공지능의 매개변수 연구 및 설명가능성 확보" was selected for the best paper award by the Korean Society for Nondestructive Testing (KSNT)

2025. 05. 28

수상

Prof. Ha was awarded a certificate by delivering an invited presentation titled "Artificial intelligence-based ultrasonic testing for mitigating near-surface and weld boundary interference" at the Korean Society for Nondestructive Testing (KSNT)-Japanese Society for Non-Destructive Inspection (JSNDI) Workshop.

2025. 04. 17

수상

Prof. Ha received the "Young Researcher Award" from KSME (The Korean Society of Mechanical Engineers), with the paper entitled "Domain Knowledge-Informed AI: Advanced Machinery Fault Diagnosis and Beyond"

2025. 04. 17

수상

Prof. Ha received the "Best Paper Award" from KSME (The Korean Society of Mechanical Engineers), with the paper entitled "Domain knowledge-informed AI for Rotating Machinery Fault Diagnosis"

2025. 03. 26

수상

Prof. Ha received the "Excellent Teaching Award (교육우수교수 우수상)" from Ajou University.

2025. 02. 11

학회 참가

Our laboratory participated in the Scientific Machine Learning Workshop organized by the Korean Society of Mechanical Engineers (KSME)

2025. 02. 18-20 

제 13회 PHM 리더양성을 위한 전문기술 강좌

Prof. Ha delivered a tutorial on the fundamentals of signal processing for prognostics and health management (PHM).

2025. 01. 20-22 

고급인공지능 강습회

Prof. Ha delivered an invited talk on domain knowledge-informed artificial intelligence for fault diagnosis in rotating machinery.

2025. 01. 06

새로운 멤버

"김민규", "김성민", "김준우", "김창희", "김현증", "박준현" joined our lab as research interns. Welcome!

2024. 11. 24

논문 게재

Our paper entitled "Fault frequency Band Segmentation and Domain Adaptation with Fault Simulated Signal for Fault Diagnosis of Rolling Element Bearings" collaborated with Seoul National University was accepted by Journal of Computational Design and Engineering (JCDE) (IF 4.8, JCR Rank 11.3%). Congratulations!

2024. 11. 22

논문 게재

Our paper entitled "Near-Surface Defect Detection in Ultrasonic Testing Using Domain-Knowledge- Informed Self-supervised Learning" collaborated with GIST and KRISS was accepted by Ultrasonics (IF 3.8, JCR Rank 11.2%). Congratulations!

2024. 11. 16

논문 게재

Our paper entitled "Enhancing Gearbox Fault Diagnosis Under Phase Estimation Errors: A Dynamic Time Warping and Blind Deconvolution Approach" collaborated with Seoul National University was accepted by Journal of Sound and Vibration (IF 4.3, JCR Rank 6.2%). Congratulations!