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Barzan Mozafari
Barzan Mozafari receives the EuroSys Test-of-Time award
Prof. Mozafari has been recognized for the sustained impact of BlinkDB, the first massively parallel approximate query engine.Three faculty earn MIDAS grants to broaden the frontiers of data science
This round of funding strongly encourages pioneering work with the potential for major expansion.
Designing a flexible future for massive data centers
A new approach recreates the power of a large server by linking up and pooling the resources of smaller computers with fast networking technology.
“Learning database” speeds queries from hours to seconds
Verdict can make databases deliver answers more than 200 times faster while maintaining 99 percent accuracy.
Barzan Mozafari named Morris Wellman Faculty Development Professor
Prof. Mozafari is passionate about building large-scale data-intensive systems that are more scalable, more robust, and more predictable.
Summer Bootcamp prepares undergraduates for work with big data
The Big Data Summer Bootcamp is a six-week interdisciplinary training and research program at the University of Michigan.
Barzan Mozafari receives NSF CAREER Award to improve predictability of database systems
Prof. Mozafari is passionate about building large-scale data-intensive systems that are more scalable, more robust, and more predictable.
$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.