Sharareh Taghipour
Associate Professor
Canada Research Chair in Physical Asset Management
Director, Reliability, Risk, and Maintenance Research (RRMR) Laboratory, Ryerson University
Faculty of Engineering and Architectural Science
Department of Mechanical, Industrial and Mechatronics Engineering
Toronto, Ontario
sharareh@torontomu.ca
Office:
(416) 979-5000 ext. 557693
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Bio/Research
If you are vexed by daily inefficiencies – how a coffee shop serves its customers, how a bank sorts its callers with automated phone menus – then you have some understanding of Sharareh Taghipour’s mission. Taghipour dreams of a zero-failure world in which we have the right information, analytica...
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Bio/Research
If you are vexed by daily inefficiencies – how a coffee shop serves its customers, how a bank sorts its callers with automated phone menus – then you have some understanding of Sharareh Taghipour’s mission. Taghipour dreams of a zero-failure world in which we have the right information, analytical skills, methodology and technology to predict and prevent inefficiencies and breakdowns. “This is evidently not achievable,” she says, laughing. “But it’s how I think. It’s an ideal to move toward.”
Taghipour’s superpower is mathematical modelling, which she applies in areas like manufacturing (to forecast equipment failure) and health care (to predict the incidence of disease). Looking forward, Taghipour is most excited about the use of autonomous prediction to optimize processes. “I know we can’t eliminate failure, but when systems can make smart decisions in real time, the result will be better quality of life.”
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Taghipour’s superpower is mathematical modelling, which she applies in areas like manufacturing (to forecast equipment failure) and health care (to predict the incidence of disease). Looking forward, Taghipour is most excited about the use of autonomous prediction to optimize processes. “I know we can’t eliminate failure, but when systems can make smart decisions in real time, the result will be better quality of life.”
Click to Shrink <<