Grants and Contributions:

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Title:

Data analytics to detect, isolate and predict anomalies in a vaccine production process

Agreement Number:

EGP

Agreement Value:

$24,250.00

Agreement Date:

Apr 25, 2017 -

Organization:

Natural Sciences and Engineering Research Council of Canada

Location:

British Columbia, CA

Reference Number:

GC-2017-Q1-00410

Agreement Type:

Grant

Report Type:

Grants and Contributions

Additional Information:

Grant or Award spanning more than one fiscal year. (2017-2018 to 2018-2019)

Recipient's Legal Name:

Gopaluni, Bhushan (The University of British Columbia)

Program:

Engage Grants for Universities

Program Purpose:

Industrial processes generate large volumes of data that are often not utilized fully. We are currently in thex000D
throes of a major data revolution driven by the advances in machine learning and artificial intelligence. We arex000D
proposing to bring these new techniques to the process industry. Sanofi Pasteur is the largest manufacturer ofx000D
vaccines in the world. However, several processes that they use experience unexpected and unexplainedx000D
anomalous behaviours. We are proposing to use novel machine learning algorithms to analyze the data in newx000D
ways and identify anomalous behaviour.