Ihab Ilyas

Ihab Ilyas

Co-founder of Inductiv and Tamr and Professor at the Cheriton School of Computer Science, University of Waterloo

Ihab Ilyas was born in Egypt on May 13, 1973. He moved internationally, to the United States, after graduating from Alexandria University in 1999. While in the United States, he attended Purdue University from 1999-2004. Ilyas is a computer scientist specializing in data science and is an acting professor at the University of Waterloo’s David R. Cheriton School of Computer Science in Waterloo, Ontario, Canada. Ilyas is best known for his role as co-founder of Inductive Inc., where he also served as CEO from inception to its Apple Inc. acquisition in May 2020.

Additionally, he co-founded Tamr Inc., alongside Andy Palmer and Michael Stonebraker.

Inductiv Inc.

Inductiv Inc., was a Canadian start-up that used machine learning to automate the identification and correction of data errors, also known as data cleaning. It was founded by Ihab Ilyas, Theodoros Rekatsinas, and Christopher Ré in 2019. On May 27, 2020, Apple Inc. announced that it had acquired Inductiv for an undisclosed amount to improve Siri, a product integration for Apple devices.

Career

Primal.ai - Scientific Advisor

Primal.ai is an artificial intelligence (AI) company that uses machine learning in enterprise applications designed to mimic human intelligence. Ilyas began his career with Primal in 2014 as a Scientific Advisor and maintained this position until 2019. A Scientific Advisor is responsible for providing management and leadership of an organization with technical and scientific information.

Forge.AI - Advisory Board Member

Forge.AI is an AI cloud-based, activity-based intelligence platform that converts unstructured data to structure analytics and readable knowledge in real-time. This software is used by science teams, analysts, algorithms, and applications. Ilyas serves as an advisory board member on a volunteer basis, offering knowledge, experience, and guidance in clean data development.

Tamr Inc. - Co-Founder

Tamr Inc., is an enterprise data unification company founded by Ihab Ilya, Andy Palmer (CEO), and Mike Stonebraker. The company developed a patented software platform that uses machine learning and human expertise to unite and prepare siloed data for business analytics.

University of Waterloo - Professor

At the University of Waterloo, Ihab Illyas is a professor at the Cheriton School of Computer Science and the NSERC-Thomson Reuters Research Chair on data quality. He primarily researches big data and database systems and expresses particular interest in data quality, data integration, managing uncertain data, machine learning for data curation, and information extraction. Ilyas began his career at Waterloo in 2004.

Education

Alexandria University

Ilyas attended Alexandria University in Alexandria, Egypt, from 1990-1995 to achieve a B.Sc, Computer Science degree. He then returned to Alexandria University in 1996 to obtain his M.S., Computer Science degree and graduated in 1999.

Purdue University

Ilyas was accepted into Purdue University in West Lafayette, Indiana, and began attending a Ph.D., Computer Science program in 1999. He completed his Ph.D. degree in 2004 and started his career as a professor at the University of Waterloo.

Awards

  • Google Faculty Award, 2014
  • ACM Distinguished Scientist Award, 2014
  • NSERC Discovery Accelerator Award, 2014-2018, NSERC
  • Cheriton Faculty Fellowship, 2013-2016, University of Waterloo
  • ACM SIGMOD 2015 Best Demo Award
  • Ontario Early Researcher Award, 2008, Government of Ontario
  • Taha Hussein Medal for top 10 high school students in the nation, 1990, Ministry of Education, Egypt

Featured Publications

Title
Authors
Link
Year

A Formal Framework For Probabilistic Unclean Databases

Christopher De Sa, Ihab F. Ilyas, Benny Kimelfeld, Christopher Re and Theodoros Rekatsinas

2019

A Survey of Top-k Query Processing Techniques in Relational Database Systems

Ihab F. Ilyas, George Beskales, and Mohamed A. Soliman

2008

Adaptive Rank-aware Query Optimization in Relational Databases

Ihab F. Ilyas, Walid G. Aref, Ahmed K. Elmagarmid, Hicham Elmongui, Rahul Shah and Jeffrey S. Vitter

2006

APEx: Accuracy-Aware Differentially Private Data Exploration

Chang Ge, Xi He, Ihab F. Ilyas and Ashwin Machanavajjhala

2019

Approximate Inference in Structured Instances with Noisy Categorical Observations

Alireza Heidari, Ihab F. Ilyas and Theodoros Rekatsinas

2019

CORDS: Automatic Discovery of Correlations and Soft Functional Dependencies

Ihab F. Ilyas, Volker Markl, Peter Haas, Paul Brown, and Ashraf Aboulnaga

2004

Data Integration: The Current Status and the Way Forward

Michael Stonebraker, Ihab F. Ilyas

2018

Effective Data Cleaning with Continuous Evaluation

Ihab F. Ilyas

2016

Rank-aware Query Optimization

Ihab F. Ilyas, Rahul Shah, Walid G. Aref, Jeffrey S. Vitter, and Ahmed K. Elmagarmid

2004

Rank-aware Query Processing an Optimization

Ihab F. Ilyas

2004

Supporting Top-k Join Queries in Relational Databases

Ihab F. Ilyas, Walid G. Aref, and Ahmed K. Elmagarmid

2004

Timeline

May 27, 2020

Apple buys machine learning specialist Inductiv Inc. to bolster Siri, AI projects.

"The firm was co-founded by the University of Waterloo professor Ihab Ilyas, University of Wisconsin-Madison assistant professor Theodoros Rekatsinas and Stanford University professor Christopher Re, all machine learning experts."

February 2019

Ihab Ilyas Co-Founded Inductiv Inc. alongside Theodoros Rekatsinas and Christopher Re.

November 2017

Ihab Ilyas joins Forge.AI as Advisory Board Member.

January 2013

Ihab Ilyas Co-Founded Tamr Inc.

People

Name
Role
LinkedIn

Further reading

Title
Author
Link
Type
Date

Agile Data Cleaning With Machine Learning | Tamr

Ihab Ilyas

Web

December 4, 2018

AI Should not Leave Structured Data Behind! - Towards Data Science

Ihab Ilyas

Web

February 14, 2020

Data cleaning is a machine learning problem that needs data systems help! - ACM SIGMOD Blog

Ihab Ilyas

Web

The quest for high-quality data

Ihab Ilyas, Ben Lorica

Web

June 18, 2019

Documentaries, videos and podcasts

Title
Date
Link

Companies

Company
CEO
Location
Products/Services

References

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