Big Data Analytics Advancements in the Industry 4.0 Era
The next presentation in the Texas A&M Energy Institute Lecture Series, featuring Dr. Leo Chiang, an Associate Technology Director at The Dow Chemical Company, will be held on Friday, May 11, 2018 from 10:00 AM – 11:30 AM in the Frederick E. Giesecke Engineering Research Building (GERB) Third Floor Conference Room. The topic will be “Big Data Analytics Advancements in the Industry 4.0 Era.”
Biography
Leo H. Chiang is an Associate Technology Director at The Dow Chemical Company, leading chemometrics and big data analytics implementations for manufacturing. Leo has developed and implemented several data analytics techniques to solve complex manufacturing problems, resulting in 11 Dow Manufacturing Technology Center Awards. In 2016, he received the Dow R&D Excellence in Science Award in recognition of his scientific achievement in industrial research.
Leo has a Bachelor of Science in chemical engineering from the University of Wisconsin at Madison and M.S. and Ph.D. degrees in chemical engineering from the University of Illinois at Urbana-Champaign. He has contributed to more than 35 externally refereed papers and proceedings papers and has given more than 80 conference presentations and university lectures. Leo has co-authored two books published by Springer Verlag. His textbook, Fault Detection and Diagnosis in Industrial Systems, is available in English and Chinese and has received more than 1,800 citations according to Google Scholar.
Leo is active in the American Institute of Chemical Engineers (AIChE), having served as 2014-2016 Computing and Systems Technology (CAST) director, 2016 CAST 10E programming chair, and 2017-2018 AIChE spring meeting program chair (MPC). Leo was instrumental in setting up the Big Data Analytics Topical Conference (2015 to 2017) and the Industry 4.0 Topical Conference (2018) at the AIChE spring meeting. He was recognized by AIChE with the 2016 Herbert Epstein Award for his leadership on Big Data Analytics technical programming and the 2016 Computing Practice Award for his world-class leadership in the development and application of methodologies in analytics for batch and continuous processes known as Big Data.
Abstract
Big data analytics is the journey to turn data into insights for more informed business and operational decisions. It is a critical enabling technology in the Industry 4.0 era. As the chemical engineering community is collecting more data (volume) from different sources (variety), this journey becomes more challenging in terms of using the right data and the right tools (analytics) to make the right decisions in real-time (velocity).
This talk highlights recent advancements in the big data analytics journey at The Dow Chemical Company in the areas of Enterprise Manufacturing Intelligence, multivariate analysis, on-line fault detection, inferential sensors, batch data analytics, predictive maintenance, and deep learning. Future research direction and the need for workforce development will be addressed.