On April 26, 2025, Hanyang University’s Global Research Laboratory (GRL) hosted a special seminar featuring two world-renowned scholars in the fields of quality engineering and reliability: Professor Tang Loon Ching from the National University of Singapore and Professor Jianjun Shi from the Georgia Institute of Technology.
Invited by the GRL team, both professors delivered insightful lectures based on their pioneering research. The seminar served not only as a platform for academic exchange but also as an opportunity to strengthen international research collaboration.
Professor Tang presented a talk titled “Degradation Modeling and Future Challenge,” where he shared his expertise on stochastic degradation processes, particularly focusing on the application of Wiener and Beta processes for lifetime prediction and system reliability analysis. His discussion highlighted both methodological advances and unresolved challenges in the field.
Professor Shi gave a lecture on “Machine Learning Enabled Quality Improvements in Smart Manufacturing,” showcasing how data-driven approaches are transforming modern manufacturing systems. He emphasized the integration of machine learning techniques to monitor, predict, and improve quality in intelligent production environments.
Following the seminars, the GRL research team presented their ongoing projects, sharing recent developments and discussing current challenges. This interactive session allowed for constructive feedback and in-depth dialogue with the guest professors, further enhancing the academic exchange.
On April 26, 2025, Hanyang University’s Global Research Laboratory (GRL) hosted a special seminar featuring two world-renowned scholars in the fields of quality engineering and reliability: Professor Tang Loon Ching from the National University of Singapore and Professor Jianjun Shi from the Georgia Institute of Technology.
Invited by the GRL team, both professors delivered insightful lectures based on their pioneering research. The seminar served not only as a platform for academic exchange but also as an opportunity to strengthen international research collaboration.
Professor Tang presented a talk titled “Degradation Modeling and Future Challenge,” where he shared his expertise on stochastic degradation processes, particularly focusing on the application of Wiener and Beta processes for lifetime prediction and system reliability analysis. His discussion highlighted both methodological advances and unresolved challenges in the field.
Professor Shi gave a lecture on “Machine Learning Enabled Quality Improvements in Smart Manufacturing,” showcasing how data-driven approaches are transforming modern manufacturing systems. He emphasized the integration of machine learning techniques to monitor, predict, and improve quality in intelligent production environments.
Following the seminars, the GRL research team presented their ongoing projects, sharing recent developments and discussing current challenges. This interactive session allowed for constructive feedback and in-depth dialogue with the guest professors, further enhancing the academic exchange.