CSE Alum Earns Honorable Mention Award in ACM Contest
Wednesday, July 23, 2014
Recent Computer Science and Engineering alumna Mahashweta Das earned Honorable Mention in the ACM SIGKDD Doctoral Dissertation Award 2014 for her PhD thesis titled 'Exploratory Mining of Collaborative Social Content.' Mahashweta is now a research scientist at HP Labs in Palo Alto, Calif. She will be honored at the SIGKDD Conference in New York City in August.
ACM SIGKDD is the premier society for data mining and knowledge discovery research, and the ACM SIGKDD Doctoral Dissertation Award is the highest distinction for a doctoral candidate in the area of data mining. The data mining community is large, and together with several other communities is pushing some of the most impactful scientific research of our times, such as Big Data, deep learning, social computing, and others. This prestigious and highly competitive award has been given annually for seven years. The SIGKDD Dissertation Award Committee received a record number of nominations this year, and leading experts from all over the world were invited to review the dissertations. The top-5 finalists in this year’s competition included candidates from Carnegie Mellon University and Stanford University.
Mahashweta's dissertation, written under advisor Gautam Das, focused on developing novel algorithms for mining and exploring big data in collaborative content sites (e.g., Yelp, Amazon, IMDB, etc.) to benefit experience and decision-making of both content producers and consumers. Her dissertation is one of the early efforts to structure data science on datasets from the social web. Her thesis resulted in regular publications at top-tier conferences (SIGKDD, VLDB) and journals, selection for 'Best papers of VLDB 2012', and the Graduate School Dean's Dissertation Fellowship and Outstanding Ph.D. Student Award 2013 by the College of Engineering at UTA.