SPEAKER:  Yu Ding - faculty candidate

ABSTRACT:

Sensors are distributed in physical systems to improve the quality of performance, management, and service. This system-wide deployment of sensing devices, also referred to as distributed sensing, has taken off in the last decade. It results in a data-rich environment and provides unprecedented opportunities for improvements in quality and productivity.   In order to allow the potential of distributed sensor networks to be fully realized, analysis and design methodologies are needed to provide decision support capability. This talk discusses a number of decision-level research issues and challenges encountered in our recent research undertaking, including multi-resolution information integration, data reduction, and redundancy analysis.  The talk will also discuss a few new applications and emphasize engineering implications and needs that arise from the applications.

Biosketch

 Dr. Yu Ding is currently an Associate Professor and Holder of the Centerpoint Energy Career Development Professorship in the Department of Industrial and Systems Engineering at Texas A&M University. Dr. Ding received a B.S. degree from the University of Science & Technology of China in 1993, an M.S. degree from Tsinghua University in 1996, an M.S. degree from Penn State University in 1998, and his Ph.D. degree from the University of Michigan in 2001. His research interests are in the general areas of quality and reliability engineering, and system informatics and control. Dr. Ding currently serves as a department editor for IIE Transactions on Quality and Reliability Engineering. He is a member of IIE, INFORMS, IEEE, and ASME. More information is available on his Lab’s website, http://ise.tamu.edu/metrology.