News
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Dan Kennedy has something to be thankful for
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Just one day before Thanksgiving in 2022, Daniel Kennedy completed his doctoral studies in geoengineering. He has accepted a position with Barr Engineering.
Update on Water Chemistry
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Interview with authors Patrick Brezonik and William Arnold, who have recently published the second edition of their well-respected and widely used textbook, Water Chemistry. The first edition came out in 2011, and so many CEGE alumni—as well as water resource professionals around the world—learned their trade from this book.
News Roundup from the 2022 Fall issue of the CEGE magazine
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Read the latest roundup of news on faculty, students, and alumni
Caleb Widstrand Earns Best Master’s Thesis
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Caleb Widstrand completed and defended his Master’s of Science thesis, “Wave Propagation in Periodic, Configurable Kerfed Metamaterials,” in 2021 under the direction of his adviser Professor Stefano Gonella. And now, Widstrand’s thesis has been chosen as the best Master’s Thesis within the Department of Civil, Environmental, and Geo- Engineering (CEGE).
MWRF is Making a Difference in Minnesota Water Research
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The Minnesota Water Research Fund (MWRF), established by CEGE alumnus and water industry leader BERNIE BULLERT, has been providing support for research in the areas of water resource management and water treatment for five years.
Jane Lansing Receives UMN Service Award
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Jane Lansing (BCE 1976) was honored with the 2022 Alumni Service Award, which recognizes graduates for outstanding volunteer service to the University.
CEGE leads $11 million project to advance mineral carbon storage
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New US DOE-funded Energy Frontier Research Center led by University of Minnesota faculty
A transportation engineer travels to the medical school
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If you want to get the attention of an engineer, all you need to say is, “I think this could work better…” John Hourdos, a transportation engineer by training, embraces that engineering mindset.
When confronted by something that is not working, he says, “Let’s fix it!”
Reducing Defects in 3D Metal Printing by Scientific Machine Learning
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Qizhi He and Ju Sun are developing a physics aware machine learning framework to help predict defects in metal Additive Manufacturing (3D printing). Their novel, knowledge-augmented, machine learning tool will quickly and reliably predict thermal mechanical behavior and the induced defects, by utilizing both thermomechanical models and process monitoring data.
Yang Seeks Fine-grained Understanding of Sediment Transport
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Judy Yang, Assistant Professor in CEGE, received an NSF Grant in excess of $300,000 for her project “Collaborative Research: Grain to Channel Scale Experimental and Numerical Investigation of Cohesive Sediment Transport.”