Assistant Professor Aditya Parameswaran comes to Illinois after completing a PhD at Stanford University. He is an expert in data management and data mining.
His dissertation investigated the difficulties that arise when using crowdsourcing for big data problems. “Given that you want to get data processed using humans, how do you do it in the most efficient and effective way possible?” Parameswaran said. “How do you reduce cost? How do you ensure low latency? How do you extract the highest possible accuracy from humans? That was the focus of my thesis research."
Parameswaran’s dissertation received several awards: 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. “It was a great honor to have my work recognized by these distinguished, yet really distinct, research communities,” Parameswaran said.
Prior to crowdsourcing, Parameswaran published extensively in the fields of information extraction and recommendation systems. A common theme of his work is the use of rigorous algorithmic techniques for solving practical data management problems.
Prior to starting at Illinois Parameswaran spent a year in Cambridge, Massachusetts, splitting his time between MIT and Microsoft Research New England. While at Cambridge, and as part of his work in interactive data analytics, he explored a new direction: information visualization. “One of the questions I’m excited about is: how do you automatically identify and generate interesting visualizations given a large dataset?” he said.
Parameswaran received best paper recognitions at the premier database and data mining conferences – ACM KDD 2012 and VLDB 2010. In 2010 he received a Yahoo! Key Scientific Challenges Award. He received a Terry Groswith School of Engineering Fellowship from Stanford University in 2007.