The National Science Foundation's most prestigious award in support of early-career faculty.

Recognizes reviewers for their outstanding work contributing to a high-quality, timely, and constructive peer-review process.

Recognizes reviewers for their outstanding work and exemplary service contributing to a high-quality and timely peer-review process.

Recognizes the paper with the greatest impact over the preceding decade. Citation: "For advancing time-series clustering through a shape-based approach, achieving a distinctive synthesis of high accuracy, computational efficiency, and broad-domain applicability."

Recognizes the best demos of the 40th IEEE International Conference on Data Engineering.

Recognizes internationally an individual's work in the first five years after the Ph.D. degree. Citation: "For breakthroughs in time series data management, as well as contributions to adaptive methodologies for data intensive and machine learning applications."

Recognizes reviewers for "their very hard and conscientious work."

Recognizes the best papers published at the 48th International Conference on Very Large Databases.

Recognizes internationally "outstanding doctoral dissertations in the areas of data science, machine learning, and data mining."

Recognizes faculty "pursuing cutting‐edge research in data management." (First time awarded to a postdoc.)

The New York Times covers our study on building a screening solution for devastating diseases using Web search logs.

Recognizes "high quality research in the field of Scientometrics and Informetrics."

Recognizes projects across premier database conferences that "exemplify core database research, address an important problem, represent a definitive milestone in solving the problem, and have the potential of significant impact."

Recognizes the best papers of the 2015 ACM SIGMOD International Conference on Management of Data.

Recognizes graduate or undergraduate students of Greek ancestry.

Recognizes Greek graduate students with an outstanding academic record. (3 CS Ph.D. fellows from 1000+ applications.)

Recognizes Greek scholars in Medicine, Physics, Chemistry, Biology, Mathematics, Computer Science, and Engineering areas.

Recognizes students of Greek ancestry ranked at the top of their class.

Recognizes Greek graduate students in Social Sciences, Technology, Arts, Natural Sciences, Medical, and Business fields.

Supports "cutting‐edge research in the fields of engineering."

Recognizes Greek undergraduate students in Computer Science and Engineering fields for post‐graduate studies abroad.