Recent Ph.D. Graduate David C. Anastasiu Receives Two Awards at DSAA 2016

David C. Anastasiu 2016
October 24, 2016

Assistant Professor at San José State University and alumnus David C. Anastasiu (Ph.D. 2016) and Professor George Karypis received the Best Research Paper Award at the 2016 IEEE International Conference on Data Science and Advanced Analytics (DSAA 2016) for their paper “Efficient Identification of Tanimoto Nearest Neighbors.”

The paper presents an efficient approach for finding all nearest neighbors with a Tanimoto similarity above some threshold for each of the objects in a set, which is a crucial operation in many Data Mining and Machine Learning methods. Unlike other popular object proximity measures, such as cosine similarity or Euclidean distance, Tanimoto similarity simultaneously captures differences in the angle and length of the vectors, which makes it ideally suited for certain Data Mining and Cheminformatics problems.

Professor Anastasiu was also awarded the competitive Next Generation Data Scientist (NGDS) Award at DSAA 2016. The award, which was first instituted this year, is given to full-time research students and early-career researchers who conduct foundational research and innovative applied work in Data Science and Advanced Analytics, with a focus on developing the next generation of Data Scientists.

The conference was recently held in Montreal, Canada, and is a premier international forum for the presentation of new research, results, systems and techniques in the broad field of Data Science.

Please join the Department in extending our congratulations to Professors Anastasiu and Karypis.

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