Category: Data & Computing
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Explainable AI: New framework increases transparency in decision-making systems
Achieving high interpretability and accuracy at a low computational cost, the technique can improve medical diagnostics with trustworthy AI
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Three students recognized with NSF GRFP honorable mentions
Doctoral students Drew Hidalgo, Harrison Sims and Jennifer Zamudio, have been given honorable mentions for the 2025 National Science Foundation Graduate Research Fellowship Program.
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Berahas named member of the Air Force Office of Scientific Research 2025 Young Investigator Program
Albert S. Berahas will use this opportunity to develop, analyze and implement algorithms for solving noisy constrained derivative-free optimization problems, prevalent in fields such as engineering design, medicine and machine learning.
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Engineering a smarter game for Michigan’s soccer teams
A unique collaboration between the University of Michigan College of Engineering and its soccer teams is transforming the game, one data-driven decision at a time.
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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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IOE Symposium Highlights Undergraduate Research
The U-M IOE Undergraduate Research Symposium highlights undergraduate student research projects each fall. These include topics like AI in human factors engineering, exam room utilization at Michigan Medicine and much more.
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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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Meet the female engineers leading the field of industrial and operations engineering research
The female engineers of the University of Michigan’s Industrial and Operations Engineering Department stand out for their profound impact on both academia and industry. As the world celebrates International Women in Engineering Day, we turn the spotlight to the women in our department reshaping the frontiers of industrial engineering, systems research, optimization and human ergonomics to create better…
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New statistical tool to distinguish shared and unique features in data from different sources
Personalized PCA method overcomes the challenges of heterogeneous data analysis
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Michigan Engineering Professors to develop novel federated learning algorithms for distributed 3D printing
Kontar and Okwudire have received a grant from Cisco Systems Inc. to develop novel federated learning algorithms that address descriptive, predictive and prescriptive machine learning opportunities in large-scale distributed 3D printing.
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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.
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U-M IOE hosts its inaugural Undergraduate Research Symposium to showcase student research
On November 3, 2023, the University of Michigan Industrial and Operations Department hosted its inaugural Undergraduate Research Symposium to highlight undergraduate success in research. This event was deemed a success with over 100 attendees and 16 poster presentations from students.
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Standardizing bilevel optimization for future researchers and practitioners
Bilevel optimization is used not only in research, but also in business to identify the best solutions for a variety of hierarchical problems. A U-M researcher aims to develop a comprehensive software package that will enable many industries to use this in everyday decision-making.
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Preventing prescription dispensing errors using machine intelligence
In the United States over four billion prescriptions are dispensed every year. Of those four billion around 2.4 million are incorrectly dispensed, which can be a fatal error. A team of researchers from the University of Michigan looks to machine intelligence to help humans reduce their dispensing errors.
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U-M student group CLAWS develops tools to help astronauts navigate space
The University of Michigan Collaborative Lab for Advancing Work in Space participated in the NASA SUITS Challenge at the Johnson Space Center in Houston. They developed an augmented reality system to help astronauts navigate the moon.