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Embedded Systems


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Embedded systems are special-purpose computers built into devices not generally considered to be computers. For example, the computers in vehicles, wireless sensors, medical devices, wearable fitness devices, and smartphones are embedded systems. The embedded systems market is growing 50% faster than that for general-purpose computing. 

Designing embedded systems is a huge challenge because they have so many requirements: they often need to be tiny, high-performance, inexpensive, reliable, and last a long time on poor power sources, all while sensing and influencing their surroundings. Faculty and students are applying their skills to the entire “stack,” from transistors and circuits to operating systems and applications.

ECE Faculty

Al-Thaddeus Avestruz

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David Blaauw

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Parag Deotare

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Robert Dick

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James Freudenberg

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Khalil Najafi

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Euisik Yoon

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Pei Zhang

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CSE Faculty

Ronald Dreslinski

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Zhuoqing Morley Mao

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Alanson Sample

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Affiliated Faculty

Cynthia Chestek

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News Feed

Yan Long awarded Predoctoral Fellowship to support research impacting secure communications

Long aims to ensure that the information received from sensing devices is both trustworthy and confidential.

Jesse Codling wins Best Presentation award for sensors that help protect these little piggies in their pens

Known affectionately as “The Sh*tty Project,” Codling, an ECE PhD student, monitors the vibrations in pig pens to track the health of the piglets and predict when they’re in danger.

Prof. Pei Zhang solemnly swears that he’s up to some good

In a project he calls the “Marauder’s Map,” Prof. Zhang uses machine learning-based data models, physics models, and heuristic models to turn physical structures into sensing devices.

Two members of ECE will represent U-M at the 2019 Rising Stars in EECS Workshop

The intensive workshop brings together outstanding women who are graduate students or postdocs interested in pursuing academic careers in electrical engineering and computer science.

More efficient machine vision technology modeled on human vision

Prof. Robert Dick and advisee Ekdeep Singh Lubana developed a new technique that significantly improves the efficiency of machine vision applications

Prof. Robert Dick to apply cyber information to air quality management

The grant is part of a new $12.5M initiative by the National Science Foundation to encourage computing innovations for a sustainable society.

EECS 461 (Embedded Control Systems) and the freescale cup

This was the first year Freescale opened up the competition to U.S. students—teams from U-M, U-M Dearborn, and Penn State competed against teams from Mexico and China.

Xi Chen and Prof. Robert Dick receive DATE Best Paper Award

The authors analyzed performance and accuracy for a variety of dynamic thermal analysis techniques and used their findings to develop a new analysis technique. Congratulations!