Michigan Engineering | University of Michigan Armin’s research is focused on the development of a sub-millimeter-wave radar system for the next generation of navigation and imaging sensors.
An award winning radar system for collision avoidance and imaging
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A new, low-cost way to monitor snow and ice thickness to evaluate environmental change
Mohammad has developed a new way to remotely measure the thickness of ice and snow with a technology he calls wideband autocorrelation radiometry (WiBAR).
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Leaders in neuroscience look to the future
ICAN bring engineers and neuroscientists together to review the recent advancement in neurotechnology and neuroscience, define the need for next-generation tools, and enhance the translation of technology to the scientific community.
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Injectable computers can broadcast from inside the body
This platform has enabled a variety of sensors that can fit inside the human body, made possible by several breakthroughs in ultra-low power computing.
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Thorny technical questions remain for net neutrality
Not all online traffic is the same; should we treat it the same anyway?
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Novel collaboration to probe brain activity in unprecedented detail
A pilot program will bring together researchers from different universities to collaborate on advancing research that may lead to a better understanding of the human brain.
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Alfred O. Hero, III named John H. Holland Distinguished University Professor of EECS
Hero is honored for his extraordinary accomplishments that have brought distinction to himself, his students, and to the entire University.
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Student team works to improve care for premature infants
The device resembles a swaddling hammock and features a heating pad charged by thermoelectrics, allowing users to light candles beneath the cells to generate power.
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Making Memory Smaller, Better, Faster, Stronger
Prof. Wei Lu and former student Dr. Sung Hyun Jo co-founded Crossbar, Inc. to tackle the physical limitations of conventional memory technology.
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Students earn prizes for improving image processing techniques in EECS 556 (Winter 2016)
The course covers the theory and application of digital image processing, with applications in biomedical images, time-varying imagery, robotics, and optics.