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Business Operations and Analytics

tamezjesAugust 30, 2022

Helping people get back to work using deep learning in the occupational health system

Healthcare worker writes patient details on a piece of paper

University of Michigan researchers have produced a new prediction model using longitudinal information and deep learning to better predict the return to work time for people with occupational injuries.

Michigan EngineeringDecember 10, 2019

Xiuli Chao receives funding from J&J to develop algorithms for continuous production process

Xiuli Chao

U-M IOE’s Xiuli Chao receives funding from Johnson & Johnson for a project centered on developing optimization algorithms to improve continuous production process.

Michigan EngineeringSeptember 24, 2019

Xiuli Chao receives funding to improve the efficiencies of sharing economy

Xiuli Chao

U-M IOE professor, Xiuli Chao, receives funding from Didi for a project focused on improving the efficiencies of sharing economy through enhanced matching and contract design.

Michigan EngineeringSeptember 17, 2019

Mitigating uncertainties in remote computer numerical control using data-driven transfer learning

photo of Raed Al-Kontar

U-M IOE’s Raed Al Kontar receives research funding from Cyber-physical Systems, a National Science Foundation program, for a project centered on the refinement of computer numerical control as a cloud service.

Michigan EngineeringApril 9, 2019

Jessie Yang receives funding from Dell for analysis of online user-generated data

U-M IOE assistant professor, Jessie Yang, has received research funding from Dell Inc. for sentiment analysis of online user-generated data for business intelligence enrichment.

Michigan EngineeringMarch 26, 2019

Xiuli Chao and Ruiwei Jiang receive MCubed funding for data-driven optimization of online retailing

Two U-M Industrial and Operations Engineering (IOE) researchers have received MCubed funding from the University of Michigan for work on data-driven optimization for online retailing.

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