Category: Data & Computing
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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.
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Raed Al Kontar receives the National Science Foundation Career Award
This award is given by the National Science Foundation through their Faculty Early Career Development (CAREER) Program. As one of the most prestigious awards, it supports early-career faculty who have the potential to serve as academic role models in research and education and to advance the mission of their department.
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Do Third-Party Delivery Services Benefit Restaurants?
U-M IOE researchers discovered that a restaurant can benefit from partnering with third-party delivery services if at least one of five conditions applies to them.
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Keeping the world connected, without sacrificing privacy
Engineering assistant professor Raed Al Kontar outlines a new paradigm for connected devices.
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How big data could optimize COVID-19 testing
Microsoft-supported project to coordinate site locations, supply distribution.
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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.