Tag: Eunshin Byon
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More efficient wind turbine reliability simulation
Digitally testing the reliability of large-scale structures can be computationally intensive, but a new method significantly boosts efficiency while maintaining accuracy.
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Eunshin Byon has been promoted to Professor with tenure at the University of Michigan
Since joining the U-M IOE Department in 2011 she has spearheaded a strategic effort to modernize the data analytics curriculum in order to prepare students for the contemporary workforce and advanced studies.
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IOE Faculty Launch New Data Analytics Workshop
Inspired by the growing need for data analytics expertise, the Industrial and Operations Engineering (IOE) Department recently launched a course aimed at industry professionals.
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IOE undergraduates prep for a modern workforce with expanded data analytics courses and support
U-M IOE makes curriculum changes to enhance the data analytics and computing skills of its undergraduate students, including creating a new advanced analytics course for seniors.
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Turning faces into thermostats
An autonomous HVAC system could provide more comfort with less energy.
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IOE faculty and students recognized at IISE Annual Conference and Expo
Three members of the U-M IOE community were recognized for their work at the recent Institute of Industrial and Systems Engineering’s (IISE) Annual Conference and Expo in Orlando.
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Making wind power more predictable: A Q&A with Eunshin Byon
Predictive modeling could help power companies get more consistent output from renewables.
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Eunshin Byon elected 2019 Chair-Elect of the INFORMS Quality, Statistics and Reliability section
U-M IOE Associate Professor Eunshin Byon has been elected 2019 Chair-Elect of the INFORMS Quality, Statistics and Reliability section, an interdisciplinary group with members from over 50 countries.