Michigan Engineering | University of Michigan The award recognizes early career faculty who show great promise in developing future computing technologies.
Prof. Baris Kasikci recognized as rising star by Intel
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Roadmap for teachers: U-M free online learning platform paves the way
K-5 teachers and students throughout Michigan are building thriving learning communities online by using free deeply-digital, standards-aligned curricula and platform developed by the U-M Center for Digital Curricula.
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CSE researchers help organize 10th anniversary workshop on internet freedom
Prof. Roya Ensafi and PhD candidate Reethika Ramesh led organizing efforts for USENIX’s Tenth Workshop on Free and Open Communications on the Internet.
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New research teaches AI how people move with internet videos
The project enables neural networks to model how people are positioned based on only partial views of their bodies, like perspective shots in instructional videos or vlogs.
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Alumnus Yi-Jun Chang Wins PODC Dissertation Award
His work is in complexity theory of distributed computing.
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$1.8M DARPA project aims to protect cars, trucks and spacecraft from hackers
Ironpatch could head off growing danger of security vulnerabilities in vehicle systems.
The post $1.8M DARPA project aims to protect cars, trucks and spacecraft from hackers appeared first on Michigan Engineering News.
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Prof. Danai Koutra recognized as rising star with ACM SIGKDD Award
The Rising Star Award is based on an individual’s whole body of work in the first five years after the PhD.
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NIST finalists for post-quantum security standards include research results developed by Prof. Chris Peikert
A new secure code is needed to protect private information from the power of quantum computing.
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“Hiding” network latency for fast memory in data centers
A new system called Leap earned a Best Paper award at USENIX ATC ‘20 for producing remote memory access speed on par with local machines over data center networks.
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Baris Kasikci earns CAREER Award to automatically improve software quality with data from everyday program use
Kasikci will sift through the byproducts of hundreds of millions of common program executions to determine how this data can automate some key steps in bug finding and fixing.