Students celebrated at U-M IOE Graduation Reception
On Thursday, April 7, 2023 students, faculty, and staff from the Univerisity of Michigan Industrial and Operations Engineering (U-M IOE) Department came together to celebrate the accomplishments of their graduating graduate students at the Michigan League. This spring 67 students graduated from the U-M IOE PhD and master’s program. Many of whom were honored with…
On Thursday, April 7, 2023 students, faculty, and staff from the Univerisity of Michigan Industrial and Operations Engineering (U-M IOE) Department came together to celebrate the accomplishments of their graduating graduate students at the Michigan League. This spring 67 students graduated from the U-M IOE PhD and master’s program. Many of whom were honored with awards.
U-M IOE Master’s Students, Tim Breckwoldt and Lauren Moore won the Joel and Lorraine Brown Outstanding Graduate Student Instructor (GSI) Award. The Outstanding GSI Award recognizes the efforts and accomplishments of GSIs who demonstrate extraordinary dedication and excellence as teachers.
Winners of the Robert G. Sargent Distinguished Student Award were U-M IOE Master’s Students Paul Bradley and Shreeyash Vyakarnam. The award is given to students who embody qualities that distinguish the highest-performing U-M IOE master’s degree-level students, such as; outstanding academic performance, service to the Department, the College of Engineering, the University of Michigan, and/or the field of Industrial and Operations Engineering, or other forms of meritorious leadership or accomplishment.
The Wilson Prize was won by U-M IOE PhD Students Jingwen Tang for their paper “Online Learning for Dual Index Policies in Dual Sourcing Systems” and Cheoljoon Jeong for their paper “Multi-block Parameter Calibration in Computer Models”. The Wilson Prize is presented each year to an outstanding student paper dealing with any application of Industrial Engineering.
Additionally, U-M IOE PhD Student, Jianhao Ma won the Murty prize for the best student paper on optimization based on the original work of the author. The title of Ma’s paper was “Blessing of Depth in Linear Regression: Deeper Models Have Flatter Landscape Around the True Solution.”