Michigan Engineering | University of Michigan Prof. Mozafari is passionate about building large-scale data-intensive systems that are more scalable, more robust, and more predictable.
Barzan Mozafari receives NSF CAREER Award to improve predictability of database systems
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Secure your website now: Let’s Encrypt enters Public Beta
Let’s Encrypt allows anyone to request a free website security certificate without needing an invitation.
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Censys enables fast searching of actionable internet data
The software enables users to ask questions about the hosts and networks that compose the Internet and get an immediate reply.
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$3.46M to Combine Machine Learning on Big Data with Physical Simulations
The focal point of the project will be a new computing resource, called ConFlux, which is designed to enable supercomputer simulations to interface with large datasets while running.
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Sneak attack through smartphone shared memory
A weakness believed to exist in Android, Windows and iOS operating systems could be used to obtain personal information from unsuspecting users, research at the University of Michigan has shown.
