The ACM Special Interest Group on Management of Data (SIGMOD) recognizes the paper with the greatest impact on the field—spanning research, products, and methodology—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."

Our demo paper was among the best of the 40th IEEE International Conference on Data Engineering (IEEE ICDE).

The IEEE Technical Committee on Data Engineering (TCDE) 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.”

The ACM Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD) recognizes reviewers of the main research track of ACM SIGKDD 2023 for “their very hard and conscientious work.” (30 out of 1411 reviewers or top 2%)

Our paper was among the best research papers published at the 48th International Conference on Very Large Databases (VLDB).

The ACM Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD) 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.

Media coverage of our study on building a screening solution for devastating diseases using Web search logs.

The International Society for Scientometrics and Informetrics (ISSI) recognizes “high quality research in the field of Scientometrics and Informetrics.” In the ten finalists, voted among publications from 2014 to 2016.

The ACM Special Interest Group on Management of Data (SIGMOD) 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.”

Our paper was one of the two best papers of ACM SIGMOD International Conference on Management of Data.

Recognizes graduate or undergraduate students of Greek ancestry. Covers stipend and tuition expenses.

Recognizes Greek graduate students with outstanding academic record. (3 Ph.D. fellows in computer science out of 1000+ applicants.)

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