NTU-CEE Distinguished Seminar Series: Professor Michael Todd

Organized By

CEE Seminar Committee

Host By

Tan Swan Beng Assistant Professor Kim Gun

Topic

The Use of Detection Theory to Inform Decision Making in SHM/NDE

About the Seminar

Detection theory, developed during the era of radar imaging, is a method to discriminate among information-bearing patterns in data. It is fundamentally rooted in hypothesis testing.

This presentation introduces the two general approaches to detection theory—Neyman-Pearson and Bayesian—and applies them to some applications in SHM/NDE. The generalization of Bayesian detection theory is then applied to optimal system design for an ultrasonic SHM system.

About the Speaker

Michael Todd received his Ph.D.from Duke University's Department of Mechanical Engineering and Materials Science. Since 2003 he is with the Department of Structural Engineering at the University of California San Diego, where he serves as Distinguished Professor and Chair.

His research interests are in time series analysis, statistical signal processing, acoustics/ultrasonics, fiber optics, uncertainty quantification, and decision analytics for SHM/NDE. He has published over 550 journal papers and proceedings.

He won the 2005 SHM Person-of-the-Year Award, the 2016 SEM DeMichele Award, the 2021 SHM Lifetime Achievement Award, the 2023 Roy Sharp Prize for Outstanding Contributions to NDT, and the 2023 SPIE NDE Lifetime Achievement Award. He is a Fellow of the ASME and the SEM and serves as the Managing Editor of Structural Health Monitoring.

Registration

Registration is not required, and ALL are welcome to attend.