Profile

Sabrina Jocelyn has worked in industrial machine safety at the IRSST since 2008. She started as a research assistant and became a scientific professional in 2014, then a researcher in 2017. She has a B.Eng. in Electrical Engineering from Polytechnique Montréal, and a master’s and Ph.D. from the same school. She is an adjunct professor in the Department of Mechanical Engineering at Université Laval and the Systems Engineering Department at École de technologie supérieure (ÉTS). Her research interests are safety in collaborative robotics, the use of machine learning algorithms for purposes of accident prevention, quantitative risk assessment, validation of the reliability of safety-related control circuits, and risk management related to machines in general. She is also a member of the ISO/TC 299 committee on the safety of industrial robotics, the ISO/TC 199 committee on the safety of machinery, and the Canadian Robotics Council. The journal Safety Science awarded her a Certificate of Outstanding Contribution in Reviewing in recognition of her contributions to the journal’s quality and the fact that she is in the top ten centiles of reviewers of the most articles for the journal in 2017 and 2018.

• Team: Research department
• Research field: Mechanical and Physical Risk Prevention

Expertise

• Collaborative robots (ISO 10218, parts 1 and 2, ISO/TS 15066)
• Accident prevention through machine learning (techniques specific to artificial intelligence)
• Data mining
• Safety-related parts of control systems (ISO 13849, parts 1 and 2)
• Systems reliability
• Fault trees
• Hazard identification and Risk assessment
• Machine safety (ISO 12100)

Professional orders and other affiliations

• Canadian Robotics Council
• ISO/TC 199 Safety of machinery
• ISO/TC 299 Robotics
• Department of Mechanical Engineering, Université Laval
• Systems Engineering Department, École de technologie supérieure (ÉTS)