Tag: Honors and Awards
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U-M IOE community excels at 2024 INFORMS Annual Meeting
The University of Michigan Industrial and Operations Engineering Department walked away with numerous awards, including an INFORMS Fellow Award for Amy Cohn and Magna Cum Laude status for the U-M INFORMS student chapter.
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Ivy named the Vivian L. Carpenter Professor of Engineering
Department Chair of the University of Michigan Department of Industrial and Operations Engineering, Dr. Julie Simmons Ivy is honored for her new appointed as the Vivian L. Carpenter Professor of Engineering.
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U-M IOE Earns Top HFES Honors
The U-M Industrial and Operations Engineering community made a significant impact at the 68th Annual Human Factors and Ergonomics Society Meeting. Members of our community won awards ranging from the prestigious President’s Distinguished Service Award, the Gold HFES Chapter Recognition Award, as well are many others.
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Berahas Receives ONR Grant to Develop Advanced Optimization Algorithms
The grant will fund the development of cutting-edge algorithms for solving complex nonlinear constrained stochastic optimization problems. Albert Berahas, and Micheal O’Neill will lead the research to advance optimization methods and address real-world challenges.
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Viswanath Nagarajan Awarded NSF Grant
The awarded project focuses on developing advanced algorithms for stochastic optimization, tackling a fundamental challenge in algorithm design: uncertainty in input parameters.
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Saif Benjaafar Named Distinguished Fellow of MSOM Society
The University of Michigan Industrial and Operations Engineering Professor has been named a Distinguished Fellow by the Manufacturing and Service Operations Management (MSOM) Society of the Institute for Operations Research and the Management Sciences (INFORMS).
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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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University of Michigan Faculty Members Recognized with Prestigious IISE Awards
Albert Berahas, Amy Cohn, Eunshin Byon and Raed Al Kontar have all been honored with awards from IISE for their work in the field of industrial and systems engineering.
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Raed Al Kontar receives promotion to associate professor with tenure
Since joining the U-M IOE department he has developed and taught data analytics courses that impact students and secured $1.75 million in research funding.
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Celebrating the IOE graduate class of 2024
This spring 58 students graduated from the U-M IOE PhD and master’s program. Many of whom were honored with awards.
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Amy Cohn named as IISE and INFORMS Fellow
These designations are exceptionally prestigious and only awarded to the best in systems engineering and operations/management research.
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University of Michigan IOE PhD Student Yifan Li honored with teaching awards
Yifan Li has been honored with the 2024 Richard and Eleanor Towner Prize for Distinguished Academic Achievement, the Distinguished Leadership Award from the College of Engineering and the Rackham Outstanding Graduate Student Instructor (GSI) Award
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IOE PhD student Jianhao Ma awarded a Rackham Predoctoral Fellowship
The Rackham Predoctoral Fellowship supports PhD students who have achieved candidacy and are actively working on dissertation research and writing
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Nick Tran selected for the Aviation Week Network’s 2024 20 Twenties Class
These top 20 students are poised to make significant strides in the arenas of aviation, aerospace or defense.
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Two U-M IOE faculty members given an MLK Spirit Award
Assistant Professors Albert S. Berahas and Salar Fattahi each won a North Campus Deans’ MLK Spirit Award. The awards are given annually to individuals who exemplify the leadership and vision of Reverend Dr. Martin Luther King, Jr.
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Salar Fattahi receives NSF CAREER Award for work in nonconvex problems in machine learning
Salar Fattahi discusses his award-winning CAREER proposal which aims to close the current gap between optimization and statistical learning.