Michigan Engineering | University of Michigan 55 U-M engineers attended the convention, themed “Reimagining Your Future,” and developed vital connections in their field.
EECS students make career connections at NSBE conference
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Using data science to achieve ultra-low dose CT image reconstruction
Ultra-low dose CT scans that provide superior image quality could not only benefit patients, but they could open up entirely new clinical applications.
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Four EECS companies make Crain’s list of most innovative companies, and one tops the list
This annual ranking of innovative companies in SE Michigan is based on the quality of patents received during the past year.
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Next generation laser plasma accelerator
One of the most promising avenues for achieving new target levels of high peak intensity and high average power in an ultrafast laser system is to turn to fiber lasers.
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ECE alumna Ruba Borno to join Cisco’s new executive team
The young executive has an extensive history in both the business and tech worlds.
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The Mad Scientist’s Lab: A look inside Mitch Rohde and Quantum Signal’s school-sized playhouse
Don’t let the retro arcade games and oscilloscopes fool you – Mitch’s company is as modern as they come.
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Silicon valley entrepreneurs help bring WIMS2 technology to the world
Shahin and Sassan discussed everything from the acquisition trends of small vs. large companies to the importance of building a team with a range of expertise.
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Iverson Bell – Researching the future of space satellites
Mr. Bell is investigating the potential of electrodynamic tether propulsion technology to enhance the capabilities of an emerging class of smartphone-sized satellites.
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‘Space tethers’ can be used to fling spacecraft into interplanetary space
The tether could be used to deorbit out-of-use spacecraft, push spacecraft from low Earth orbit into higher orbits, or even push spacecraft out of Earth’s orbit altogether.
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Thomas Chen earns NSF Graduate Research Fellowship for research in artificial neural networks for computer vision
Thomas and his group are working to improve upon artificial neural network design through a process called sparse coding.