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Please note that this event will be delivered online only, further details on how to access it will follow. 

Programme

2.30pm – 3.10pm – Talks from PhD/Postdoc researchers in the department (titles TBC)
3.10m – 4.10pm – Lecture from Professor Sirish L. Shah
4.10pm – 5.00pm – Drinks reception

Abstract

The process industry is awash with all types of data archived over many years:  sensor data, binary alarm data with operator actions (categorical data) to ‘navigate’ the process to operate at desired conditions and process topology or connectivity information. The fusion of information from such disparate sources of process data is the key step in devising strategies for a smart analytics platform for safe and optimal process operation. The purpose of this seminar is to present tools and techniques that cohesively analyze alarm data, process sensor data and process connectivity information to provide a holistic view of the process and ultimately lead us to do predictive monitoring and optimal autonomous or semi-autonomous process operation. Industrial case studies will be presented to illustrate the efficacy of the proposed analytic tools. Visual analytic tools for effective information dissemination of process sensor and alarm data will also be discussed.

Biography

Sirish L. Shah has been with the University of Alberta since 1978, where he held the NSERC-Matrikon-Suncor-iCORE Senior Industrial Research Chair in Computer Process Control from 2000 to 2012. He has held visiting appointments at Oxford University and Balliol College as a SERC fellow, Kumamoto University (Japan) as a senior research fellow of the Japan Society for the Promotion of Science (JSPS), the University of Newcastle, Australia, IIT-Madras, India, the National University of Singapore and Hiroshima University. The main areas of his current research are process and performance monitoring, analysis and rationalization of alarm systems. He has co-authored three books, the first titled, Performance Assessment of Control Loops: Theory and Applications, a second titled ‘Diagnosis of Process Nonlinearities and Valve Stiction: Data Driven Approaches” and a more recent monograph on “Capturing connectivity and causality in complex industrial processes”. He is Emeritus Professor at the University of Alberta, a fellow of the Canadian Academy of Engineering and the Chemical Institute of Canada.