Eamonn Keogh’s research areas include data mining, machine learning and information retrieval, specializing in techniques for solving similarity and indexing problems in time-series datasets. He has authored more than 250 papers. He received the IEEE ICDM 2007 best paper award, SIGMOD 2001 best paper award, and the best paper award in SIGKDD 2012. He has given over two dozen well received tutorials in the premier conferences in data mining and databases.