Advances in Big Data Analytics at The Dow Chemical Company

Advances in Big Data Analytics at The Dow Chemical Company

by

Leo H. Chiang, Associate Technology Director at The Dow Chemical Company

Big data analytics is the journey to turn data into insights for more informed business and operational decisions. As the Chemical Engineering community is collecting more data volume from different sources, 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. This seminar 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, and batch data analytics.

Leo H. Chiang is 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 B.S. degree from University of Wisconsin at Madison and M.S. and Ph.D. degrees from the University of Illinois at Urbana-Champaign, all in Chemical Engineering. Leo has contributed to over 20 externally refereed papers and an additional 15 proceedings papers and has given over 70 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 over 1,700 citations.

Leo is active in American Institute of Chemical Engineers (AIChE), having served as 2014-2016 Computing and Systems Technology (CAST) director as well as 2016 CAST 10E programming chair.