Special Seminar – Prof. Biao Huang – Sept. 23

The Department of Chemical and Biological Engineering as part of its Departmental Seminar Series announces the upcoming Special Seminar:

  • Topic: Process Data Analytics – Data Based Image Processing with Application in Oil Sands Separation Unit
  • Speaker: Professor Biao Huang, Chemical and Materials Engineering, University of Alberta
  • Host: Dr. Bhushan Gopaluni
  • Time & Date: 1:00pm-2:00pm; September 23, 2016
  • Location: Chemical and Biological Engineering Building Room 102

Abstract

Modern process industry is awash with large amount of data. Extraction of information and knowledge discovery from data, particularly from day by day routine process operating data, is especially challenging. There are numerous issues such as data nonlinearity, non-Gaussian, high dimensionality, collinearity, multiple mode, outlier, missing measurement etc. that must be considered during the information extraction process. This presentation will discuss state-of-the-art development of process data analytics to deal with these issues and to develop statistical models from data. The concept of process data analytics is illustrated by applications to data based image processing with applications in froth water interface detection and soft sensing for oil sands primary separation units. The successful use of data analytics for predictive modeling and soft sensing will be elaborated.

Biography

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Professor Biao Huang

Biao Huang obtained his PhD degree in Process Control from the University of Alberta, Canada, in 1997. He had MSc degree (1986) and BSc degree (1983) in Automatic Control from the Beijing University of Aeronautics and Astronautics. He joined the University of Alberta in 1997 as an Assistant Professor in the Department of Chemical and Materials Engineering, and is currently a Professor, NSERC Industrial Research Chair in Control of Oil Sands Processes and AITF Industry Chair in Process Control.

Dr. Biao Huang  is a Fellow of the Canadian Academy of Engineering, Fellow of the Chemical Institute of Canada, and recipient of Germany’s Alexander von Humboldt Research Fellowship, Syncrude Canada Innovation Award, Bantrel Award in Design and Industrial Practice, DG Fisher Award, APEGA’s Summit Award in Research Excellence, University of Alberta’s McCalla and Killam Professorship, Petro-Canada Young Innovator Award, and a best paper award from Journal of Process Control.  Biao Huang’s research interests include: Bayesian inference, system identification, control performance assessment, fault detection and isolation, and soft sensors. He has applied his expertise extensively in industrial practice. He is Deputy Editor-in-Chief for IFAC Journal Control Engineering Practice and Associate Editor for Journal of Process Control and Canadian Journal of Chemical Engineering.