The GRL team participated in the INFORMS Conference on Quality, Statistics & Reliability 2025, held at Swissôtel The Stamford, Singapore, from June 30 to July 4, 2025.
Prof. Seok-Joo Bae took part in the Leader Forum and delivered a talk titled “Reliability Analysis Using Generative AI.”
In the session Th_D3: Generative, Predictive, and Prescriptive Maintenance Framework, the following presentations were delivered:
Mr. Yosep Na presented “Driving-Protocol Fuel Cell Degradation Pattern Modeling Using DeepAR.”
Mr. Hwi-Jun Jeong presented “A Zero-Inflated Multivariate Peaks Over Threshold Model for Serial Multi-Stage Process Data,” co-authored with Prof. Bae.
Prof. Misuk Kim presented “Generation and Validation of Multimodal Data for Bearing Fault Diagnosis via Large Language Models.”
Mr. Jaewon Cheon presented “Enhancing Manufacturing Reliability Through NLP-Based Log Anomaly Detection.”
The conference provided a valuable platform for the GRL team to share its latest research in quality and reliability and to engage in meaningful discussions with international scholars on future directions in AI-based maintenance and education innovation.
The team looks forward to continuing its efforts to disseminate research through future international conferences.
The GRL team participated in the INFORMS Conference on Quality, Statistics & Reliability 2025, held at Swissôtel The Stamford, Singapore, from June 30 to July 4, 2025.
Prof. Seok-Joo Bae took part in the Leader Forum and delivered a talk titled “Reliability Analysis Using Generative AI.”
In the session Th_D3: Generative, Predictive, and Prescriptive Maintenance Framework, the following presentations were delivered:
Mr. Yosep Na presented “Driving-Protocol Fuel Cell Degradation Pattern Modeling Using DeepAR.”
Mr. Hwi-Jun Jeong presented “A Zero-Inflated Multivariate Peaks Over Threshold Model for Serial Multi-Stage Process Data,” co-authored with Prof. Bae.
Prof. Misuk Kim presented “Generation and Validation of Multimodal Data for Bearing Fault Diagnosis via Large Language Models.”
Mr. Jaewon Cheon presented “Enhancing Manufacturing Reliability Through NLP-Based Log Anomaly Detection.”
The conference provided a valuable platform for the GRL team to share its latest research in quality and reliability and to engage in meaningful discussions with international scholars on future directions in AI-based maintenance and education innovation.
The team looks forward to continuing its efforts to disseminate research through future international conferences.