The Georgia Tech Manufacturing Institute (GTMI) welcomes Georgia Tech's Dr. Nagi Gebraeel on Monday, Feb. 17, for GTMI’s weekly Brown Bag Seminar Series. The seminar will begin at noon in Room 114 of the Callaway Manufacturing Research Building. His presentation is entitled: "Predictive Analytics for Improving the Reliability and Sustainability of Engineering Systems."

Many high-valued engineering assets used in the manufacturing and service sectors are today being monitored by hundreds and perhaps thousands of sensors. Typically, the goal is to monitor system performance and degradation for numerous purposes, one of which is the prevention of unexpected failures. This talk focuses on how to effectively utilize sensor data to predict future system degradation and remaining lifetime (aka prognostics). The talk will begin by introducing a basic prognostic framework and how it has been implemented.  Next, the talk will focus on some scalability challenges that arise once we start dealing with Big (Sensor) Data. This will be followed by a moderately technical discussion about some of the recently developed state-of-the-art modeling techniques that have targeted a few facets of this problem.

Dr. Gebraeel is the Chandler Family associate professor of Industrial and Systems Engineering at Georgia Institute of Technology.  He received his MS and PhD in Industrial Engineering from Purdue University, 1998 and 2003, respectively. Dr. Gebraeel’s research interests are in leveraging condition-based sensor data streams to improve the predictability of unexpected failures of engineering systems, and improving subsequent operational and logistical decision making processes.   He is a member of the Institute of Operations Research and Management Science (INFORMS), the Institute of Industrial Engineers (IIE), and the American Institute of Aeronautics and Astronautics (AIAA).