Ihab Ilyas

Ihab Ilyas

Ihab Ilyas is a professor in the Cheriton School of Computer Science and the Thomson Reuters-NSERC Research Chair on data quality at the University of Waterloo. His main research focuses on the areas of big data and database systems, with special interest in data quality and integration, managing uncertain data, machine learning for data curation, and information extraction. Ihab is also a co-founder of Tamr, a startup focusing on large-scale data integration. He is a recipient of the Ontario Early Researcher Award, a Cheriton Faculty Fellowship, an NSERC Discovery Accelerator Award, and a Google Faculty Award, and he is an ACM Distinguished Scientist. Ihab is an elected member of the VLDB Endowment board of trustees, elected SIGMOD vice chair, and an associate editor of the ACM Transactions of Database Systems (TODS). He holds a PhD in computer science from Purdue University, West Lafayette.


The quest for high-quality data

October 17, 2019

Ihab Ilyas describes the HoloClean framework, a prediction engine for structured data with direct applications in detecting and repairing data errors.