Big Data Analytics in Energy

Presented on September 6, 2016 at the Klaus Advanced Computing Building, Room 1116W, Georgia Institute of Technology.South Big Data Innovation Hub ; Applications of Analytics and Machine Learning in Energy Industry-Academia WorkshopNagi Gebraeel is a Georgia Power Associate Professor in the Stewart School of Industrial & Systems Engineering at Georgia Tech. Dr. Gebraeel's research interests are in (1) equipment prognostics and diagnostics for improving reliability, maintainability, and availability by leveraging degradation-based sensor data streams, and (2) the integration of these results in subsequent maintenance, operational and logistical decision making. His specific focus is on tackling these problems in Big Data settings involving massive amounts of data streams and large equipment fleets. From the standpoint of application domains, Dr. Gebraeel has a general interest in the energy industry with a focus on power generation, and the manufacturing industry with a focus on discrete and continuous manufacturing. Dr. Gebraeel currently serves as an associate director at Georgia Tech's Strategic Energy Institute with the responsibility of identifying and promoting research activities and thought leadership at the intersection of Data Science and Energy. He is also the director of the Analytics and Prognostics Systems laboratory at Georgia Tech's Manufacturing Institute. He is a member of the Institute of Industrial Engineers (IIE), Institute for Operations Research and the Management Sciences (INFORMS), and The American Institute of Aeronautics and Astronautics (AIAA). He was the former president of the the IIE's Quality Control and Reliability Engineering Division. He received his MS and PhD from Purdue University in 1998 and 2003, respectively.Runtime: 32:23 minute