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Amol Ghoting joined the Data Mining Systems group at IBM Research in October, 2007 shortly after receiving his Ph.D. in Computer Science and Engineering from The Ohio State University. His research interests lie in data mining, high performance computing, and architecture-conscious algorithms. He is especially interested in designing algorithms and systems support to process and analyze large data sets, while ensuring efficient utilization of modern and emerging computer architectures. His dissertation research showed how data and knowledge reuse can significantly improve the performance of data mining algorithms. He received his B.E. in Computer Engineering from Victoria Jubilee Technical Institute, University of Bombay in 2000 and his M.S. in Computer Science from the University of Southern California in 2001. He is the recipient of a Best Paper Award at the 2005 International Conference on Very Large Databases, an Outstanding Research Award by The Ohio State University (2005), an IBM Ph.D. Fellowship (2006), a Best of SIGMOD selection (2009), an IBM Pat Goldberg Best Paper Award (2010), and was a finalist for the ACM Gordon Bell Award (2009). He has published over 30 articles and has served on the program committee of several conferences including SIGKDD, ICDM, SDM, PKDD, and CIKM.
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IBM Journal of Research and Developmentno. 3-4 (2013): ArticleNo.1-ArticleNo.1
user-5d4bc4a8530c70a9b361c870(2013)
引用104浏览0引用
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international conference on data miningpp.6406568, (2013)
mag(2012)
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