David Anastasiu, Ph.D.

David C. Anastasiu is an Assistant Professor in the Department of Computer Engineering at San José State University. His research interests fall broadly at the intersection of machine learning, data mining, computational genomics, and high-performance computing. Much of his work has been focused on scalable and efficient methods for analyzing sparse data. He has developed serial and parallel methods for identifying near neighbors, searching related biochemical compounds, characterizing how user behavior changes over time, and for personalized and collaborative presentation of Web search results. In the biomedical domain, he has developed methods for sensory-based prediction of Autism, characterizing human activity using smart-phones, and cost-effective methods for designating the severity of kidney disease. As a result of his Data Science algorithmic work, Prof. Anastasiu was awarded the competitive Next Generation Data Scientist (NGDS) Award at the 2016 IEEE International Conference on Data Science and Advanced Analytics (DSAA'2016). His work has been published in many top-tier conferences and journals, and he serves on the program committees of the most prominent IEEE and ACM data science-related conferences.

 

 

Check out Dr. Anastasiu's presentation abstract here