Category: Awards
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Advancing national security on all fronts
NAE profile: Donald Winter, naval architecture and marine engineering, and aerospace engineering
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Democratizing minimally-invasive surgery
NAE profile: Shorya Awtar, mechanical engineering
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Better wastewater treatment with biology
NAE profile: Glen Daigger, civil and environmental engineering
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Green chemistry award: Professor recognized for sustainable silicon metal production method
Richard Laine is the academic category winner in a national EPA contest.
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Gordon Bell Prize for simulation with quantum accuracy
The prestigious award offered by the Association for Computing Machinery goes to the team of U-M mechanical engineering professor Vikram Gavini.
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Bioengineer and M.D. receives Packard Fellowship to study cellular memory
The unique program awards $875k in flexible funding.
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U-M team that developed noninvasive surgical treatment to receive highest honor for innovation
Established in 2007, the Distinguished University Innovator Award is the highest honor for U-M faculty members who have developed transformative ideas, processes or technologies and shepherded them to market for broad societal impact.
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Awards honor staff contributions to Michigan Engineering
2023 winners exemplify the vital contributions of staff that make Michigan Engineering one of the nation’s top engineering schools.
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Record number of NSF CAREER awards received
Sustainable fuels, democratized programming tools, and Internet censorship countermeasures are a few of the projects’ broad potential impacts.
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Lola Eniola-Adefeso named National Academy of Inventors Senior Member
NAI Senior Members are rising stars who foster a spirit of innovation while educating and mentoring the next generation of inventors.
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New NAE members developed low-cost surgical device and transformational approach to design
The National Academy of Engineering will induct Shorya Awtar and Panos Papalambros, Michigan Engineering professors.
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Best paper for a low-power ADC circuit for brain-machine interface applications
Euisik Yoon’s team, led by Sungjin Oh, developed a low-power neural recording front-end circuit to interface with state-of-the-art neural probes.