Parameswaran was recognized “for developing new interactive tools and techniques that expand the reach of data analytics.” An expert in data management and data mining, his award-winning dissertation work was on crowdsourcing: understanding how to best incorporate humans into data analytics systems. He is co-author of a book on that topic, Crowdsourced Data Management: Industry and Academic Perspectives.
More recently, his work has focused on building systems to help human analysts extract insights from large datasets. His projects include Zenvisage, a visualization recommendation system, DataSpread, a scalable spreadsheet system, and DataHub, a collaborative analytics system (or a “github” for structured datasets).
Parameswaran’s research has been previously recognized with a Google Faculty Award, the 2014 ACM SIGMOD Jim Gray Doctoral Dissertation Award, as well as Stanford University’s 2013 Arthur Samuel award for the best dissertation in Computer Science. He was also runner-up for the 2014 SIGKDD Dissertation Award.