John Paparrizos, a former postdoctoral researcher with the ChiData team at UChicago CS, received the Rising Star Award from the IEEE Computer Society’s Technical Committee on Data Engineering (TCDE). The award celebrated Paparrizos work creating “breakthroughs in time series data management, as well as contributions to adaptive methodologies for data intensive and machine learning applications.”

The award is based on an individual’s body of work after obtaining a Ph.D. and aims to promote current database researchers at the early stages of their career.

Paparrizos, now an Assistant Professor of Computer Science and Engineering at Ohio State University, worked with Liew Family Chair and Professor Michael J. Franklin and Associate Professor Aaron Elmore during his years at UChicago. His research, then and now, focuses on using databases, data science, and artificial intelligence for managing and analyzing structured and unstructured data, such as relational, time-series, multimedia, text, graphs, web, and IoT data.

While at UChicago, Paparrizos received an honorable mention for the ACM SIGKDD Doctoral Dissertation Award for his work on fast, scalable, and accurate algorithms for time-series analysis. Earlier, he received a fellowship from data services company NetApp to study large scale IoT data analytics.

 

 

 

 

 

 

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