Leo H. Chiang

  • Citation name:
    Chiang, L. H.
  • Affiliation:
    The Dow Chemical Company
  • State:
    TX
  • Country:
    USA

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 35 externally refereed papers and proceedings papers and has given over 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 over 1,800 citations according to Google Scholar.

Groups/Topicals chaired or co-chaired:
3rd Big Data Analytics
2017 Spring Meeting and 13th Global Congress on Process Safety (ISBN: 978-0-8169-1098-4)
Computing and Systems Technology Division
2017 Spring Meeting and 13th Global Congress on Process Safety (ISBN: 978-0-8169-1098-4)
General Paper Pool/Available Papers
2017 Spring Meeting and 13th Global Congress on Process Safety (ISBN: 978-0-8169-1098-4)
General Paper Pool/Available Papers
2017 Spring Meeting and 13th Global Congress on Process Safety (ISBN: 978-0-8169-1098-4)
General Paper Pool/Available Papers2018 Spring Meeting and 14th Global Congress on Process Safety
Industry 4.0 Topical Conference2018 Spring Meeting and 14th Global Congress on Process Safety
Industry 4.0 Topical Conference
2019 Spring Meeting and 15th Global Congress on Process Safety (ISBN: 978-0-8169-1109-7)
Spring Meeting Poster Session and Networking Reception
2019 Spring Meeting and 15th Global Congress on Process Safety (ISBN: 978-0-8169-1109-7)
Sessions chaired or co-chaired:
2017 Spring Meeting and 13th GCPS Poster Reception
2016 AIChE Annual Meeting (ISBN: 978-0-8169-1097-7)
Advances in Data Analysis: Theory and Applications
2016 AIChE Annual Meeting (ISBN: 978-0-8169-1097-7)
Big Data Analytics Plenary
2016 AIChE Annual Meeting (ISBN: 978-0-8169-1097-7)
Big Data Analytics Plenary
2017 Spring Meeting and 13th Global Congress on Process Safety (ISBN: 978-0-8169-1098-4)
Big Data Analytics Poster
2017 Spring Meeting and 13th Global Congress on Process Safety (ISBN: 978-0-8169-1098-4)
Big Data Analytics and Process Safety Joint Plenary I
2017 Spring Meeting and 13th Global Congress on Process Safety (ISBN: 978-0-8169-1098-4)
Big Data Analytics and Process Safety Joint Plenary II
2017 Spring Meeting and 13th Global Congress on Process Safety (ISBN: 978-0-8169-1098-4)
Big Data Analytics in Chemical Engineering
2017 Spring Meeting and 13th Global Congress on Process Safety (ISBN: 978-0-8169-1098-4)
Big Data and Data Analytics (Invited Talks)
2017 Spring Meeting and 13th Global Congress on Process Safety (ISBN: 978-0-8169-1098-4)
CAST Director's Student Presentation Award Finalists
2017 Spring Meeting and 13th Global Congress on Process Safety (ISBN: 978-0-8169-1098-4)
Chemical Process Technology 2
2017 Spring Meeting and 13th Global Congress on Process Safety (ISBN: 978-0-8169-1098-4)
Data Analysis: Design, Algorithms & Applications
2017 Spring Meeting and 13th Global Congress on Process Safety (ISBN: 978-0-8169-1098-4)
Data Science Education in Chemical Engineering Panel Discussion
2017 Spring Meeting and 13th Global Congress on Process Safety (ISBN: 978-0-8169-1098-4)
Industry 4.0 Plenary2018 Spring Meeting and 14th Global Congress on Process Safety
Industry 4.0 for Process Manufacturers2018 Spring Meeting and 14th Global Congress on Process Safety
Interactive Session: Information Management and Intelligent Systems2018 Spring Meeting and 14th Global Congress on Process Safety
Invited Tutorial Session - Approaches in Big Data Analytics I2018 Spring Meeting and 14th Global Congress on Process Safety
Invited Tutorial Session - Approaches in Big Data Analytics I2018 Spring Meeting and 14th Global Congress on Process Safety
Invited Tutorial Session - Approaches in Big Data Analytics II2018 Spring Meeting and 14th Global Congress on Process Safety
Invited Tutorial Session - Approaches in Big Data Analytics II
2013 AIChE Annual Meeting (ISBN: 978-0-8169-1110-3)
Invited Tutorial Session - Approaches in Big Data Analytics III
2013 AIChE Annual Meeting (ISBN: 978-0-8169-1110-3)
Invited Tutorial Session - Approaches in Big Data Analytics III10th AIChE Southwest Process Technology Conference
Invited Tutorial Session - Approaches in Big Data Analytics IV
2019 Spring Meeting and 15th Global Congress on Process Safety (ISBN: 978-0-8169-1109-7)
Process Monitoring, Detection and Diagnosis
2019 Spring Meeting and 15th Global Congress on Process Safety (ISBN: 978-0-8169-1109-7)
Process Monitoring, Fault Detection and Diagnosis
2019 Spring Meeting and 15th Global Congress on Process Safety (ISBN: 978-0-8169-1109-7)
Spring Electronic Poster Session[Pre-conference] 2019 AIChE Annual Meeting
What is Industry 4.0? Panel Discussion[Pre-conference] 2019 AIChE Annual Meeting
Areas chaired or co-chaired:
3rd Big Data Analytics
2016 AIChE Annual Meeting (ISBN: 978-0-8169-1097-7)
Cybersecurity
2017 Spring Meeting and 13th Global Congress on Process Safety (ISBN: 978-0-8169-1098-4)
Cybersecurity2018 Spring Meeting and 14th Global Congress on Process Safety
Industry 4.0 Topical Conference2018 Spring Meeting and 14th Global Congress on Process Safety
Industry 4.0 Topical Conference
2019 Spring Meeting and 15th Global Congress on Process Safety (ISBN: 978-0-8169-1109-7)
Information Management and Intelligent Systems
2019 Spring Meeting and 15th Global Congress on Process Safety (ISBN: 978-0-8169-1109-7)
Authored:
(179c) Big Data Analytics for Batch Performance Improvement
2017 Spring Meeting and 13th Global Congress on Process Safety (ISBN: 978-0-8169-1098-4)
(191a) Visualizing Chemical Process Data Via Dimensionality Reduction
2019 Spring Meeting and 15th Global Congress on Process Safety (ISBN: 978-0-8169-1109-7)
(146a) Persistent Homology to Visualize Batch Data Sets in Chemical Processes
2019 Spring Meeting and 15th Global Congress on Process Safety (ISBN: 978-0-8169-1109-7)