Ihab Ilyas
Professor, Computer Science, University of Waterloo

Ihab Ilyas is a professor in the Cheriton School of Computer Science at the University of Waterloo, where his research focuses on the areas of big data and database systems, with special interest in data quality and integration, managing uncertain data, rank-aware query processing, and information extraction. Ihab is also a cofounder of Tamr, a startup focusing on large-scale data integration and cleaning. He’s a recipient of the Ontario Early Researcher Award (2009), a Cheriton faculty fellowship (2013), an NSERC Discovery Accelerator Award (2014), and a Google Faculty Award (2014), and he’s an ACM Distinguished Scientist. Ihab is an elected member of the VLDB Endowment board of trustees and an associate editor of ACM Transactions of Database Systems (TODS). He holds a PhD in computer science from Purdue University, West Lafayette.

Sessions

9:30–9:45 Thursday, 17 October 2019

Location: King's Suite

The quest for high-quality data

Models and Methods

Secondary topics: Data, Data Networks, Data Quality, Machine Learning

Ihab Ilyas (University of Waterloo)

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(4.30, 10 ratings)

Ihab Ilyas highlights the data-quality problem and describes the HoloClean framework, a state-of-the-art prediction engine for structured data with direct applications in detecting and repairing data errors, as well as imputing missing labels and values. Read more.