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Dr. Jay Lee

Dr. Jay Lee

University of Cincinnati
United States of America


Dr. Jay Lee is Ohio Eminent Scholar, L.W. Scott Alter Chair Professor, and Distinguished Univ. Professor at the Univ. of Cincinnati and is Founding Director of National Science Foundation (NSF) Industry/University Cooperative Research Center (I/UCRC) on Intelligent Maintenance Systems (IMS which is a multi-campus NSF Industry/University Cooperative Research Center which consists of the Univ. of Cincinnati (lead institution), the Univ.of Michigan, Missouri Univ. of S&T, and Univ. of Texas-Austin. The Center has developed partnerships with over 85 companies from 15 countries since its inception in 2001. In addition, he has mentored his students and developed a spin-off company Predictronics with support from NSF Innovation ICorps Award in 2012. He also serves as an invited committee member for White House Cyber Physical Systems (CPS) Advisory Group in 2013.His current research focuses on Industrial Big Data Analytics, Cyber-Physical Systems.Currently, he also serves as advisor to a number of global organizations, including a member of the Manufacturing Executive Leadership Council, member of International S&T Committee of Alstom Transport, France, Scientific Advisory Board of Flanders\\\\\\\' MECHATRONICS Technology Centre (FMTC) in Leuven, Belgium, Scientific Advisor Board of SIMTech, Singapore, Member of Advisory Committee of MIRDC Taiwan, etc.Previously, he served as Director for Product Development and Manufacturing at United Technologies Research Center (UTRC),He is a frequently invited speaker and has delivered over 200 invited keynote speeches at major international conferences and has over 20 patents and 2 trademarks. He received a number of awards including the most recent NSF Alex Schwarzkopf Technological Innovation Prize in Jan. 2014, MFPT (Machinery Failure Prevention Technology Society) Jack Frarey Award in 2014, and the Prognostics Innovation Award from National Instruments in 2012. He mentored his students to participate in PHM Data Challenge Competition and won the 1st Prize 5 times since 2008.

Research Interest

Industrial Big Data Analytics & Cyber-Physical Systems