John Paparrizos

John Paparrizos is an Assistant Professor of Computer Science and Engineering at The Ohio State University's College of Engineering, where he directs The DATUM Lab (Data Analytics, Understanding, Mining, and Management Lab). He maintains an adjunct affiliation with the School of Informatics at Aristotle University of Thessaloniki.

His research spans databases, data science, machine learning, and artificial intelligence, with focus areas including:

• Time-series analysis (clustering, anomaly detection)
• Scalable data mining for structured/unstructured data
• Adaptive algorithms for resource-constrained environments
• Foundational technologies for data-intensive applications

His work addresses real-world challenges across relational, time-series, multimedia, text, graph, web, and IoT data domains.

Notable recognition includes:

• 2025 ACM SIGMOD Test-of-Time Award for k-Shape time-series clustering
• 2023 IEEE TCDE Rising Star Award
• ACM SIGMOD Research Highlight Award
• NetApp Faculty Award

His research has been featured in New York Times (front page), Washington Post, Forbes, and adopted by Fortune 500 companies (Exelon, Nokia) and the European Space Agency.

He actively serves on program committees for premier conferences including ACM SIGMOD, VLDB, IEEE ICDE, ACM SIGKDD, and NeurIPS. His open-source tools have exceeded 100,000 downloads and are integrated into academic curricula at Brown, Columbia, Purdue, and University of Chicago.