Dr. Jay Lee is Ohio Eminent Scholar, L.W. Scott Alter Chair Professor, and Univ. Distinguished Professor at the Univ. of Cincinnati, and is founding director of National Science Foundation (NSF) Industry/University Cooperative Research Center on Intelligent Maintenance Systems, which has been supported by over 100 global companies. Currently, he is leading a new Industrial AI Center. His research focuses on predictive big data analytics and cyber-physical systems for intelligent maintenance, prognostics and health management (PHM), and Industry 4.0 systems. He was selected to be one of the 30 Visionaries in Smart Manufacturing in U.S. by SME in Jan. 2016. In addition, he is co-Founder of Predictronics - a start-up company from NSF IMS Center of the Univ. of Cincinnati through NSF ICorp award in 2012. In addition, his Team has won the 1st Place PHM Data Challenges five time out of nine competitions since 2008. Currently he serves as a senior advisor to McKinsey & Company, S&T advisor to Plastic Omnium of France, etc.. His prior experiences include: Director of Product Development and Manufacturing at United Technologies Research Center (UTRC), Program Director of IUCRCs, ERCs and Materials Processing & Manufacturing Programs at National Science Foundation, Program Director of Materials Handling Program at USPS, Program Director at Anorad (a Rockwell Automation Company), Senior Mechanical Engineer at Robotics Vision Systems Inc. for GM 25 automation program, etc. He has authored/co-authored numerous highly influential articles and technical papers which have been listed as most cited paper in the most prestigious journals including Journal of Mechanical Systems and Signal Processing (MSSP), Journal of CIRP, as well as SME Manufacturing Letters, etc. He is a frequently invited speaker and has delivered over 250 keynote and plenary speeches at major international conferences. He is a Fellow of ASME, SME, PHM Society, as well as a founding fellow of International Society of Engineering Asset Management (ISEAM). He has received a number of awards including the most recent Prognostics Innovation Award at NI Week by National Instruments in 2012 and NSF Alex Schwarzkopf Technological Innovation Prize and MFPT (Machinery Failure Prevention Technology Society) Jack Frarey Award in 2014, and PICMET Medal of Excellence in 2016.