World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
55
Citations
12121
World Ranking
4315
National Ranking
172

Research.com Recognitions

  • 2020 - ACM Fellow For contributions to data cleaning and data integration
  • 2014 - ACM Distinguished Member

Overview

Ihab F. Ilyas is affiliated with the University of Waterloo in Canada and has produced research primarily in the field of Computer Science. Their publication record includes 48 works, with a strong focus on Artificial Intelligence, which accounts for 35 publications. Additional areas of study include Management Science and Operations Research, Computer Networks and Communications, Information Systems, and Signal Processing.

Their research covers several main topics, including:

  • Data Quality and Management
  • Privacy-Preserving Technologies in Data
  • Advanced Graph Neural Networks
  • Topic Modeling
  • Natural Language Processing Techniques
  • Semantic Web and Ontologies
  • Advanced Image and Video Retrieval Techniques

Ilyas has published in various venues, with frequent contributions to arXiv (Cornell University), the Proceedings of the VLDB Endowment, the Journal of Data and Information Quality, the Proceedings of the ACM on Management of Data, and the Proceedings of the 2022 International Conference on Management of Data.

Recent papers authored by Ilyas include:

  • "Machine Learning and Data Cleaning: Which Serves the Other?", 2022, Journal of Data and Information Quality
  • "Saga: A Platform for Continuous Construction and Serving of Knowledge at Scale", 2022, Proceedings of the 2022 International Conference on Management of Data

Among frequent coauthors are Theodoros Rekatsinas, Jason Mohoney, Anil Pacaci, Shihabur Rahman Chowdhury, and Umar Farooq Minhas, reflecting collaboration across multiple projects within their field.

Their contributions have been recognized through awards including the ACM Fellow designation in 2020 for contributions to data cleaning and data integration, as well as being named an ACM Distinguished Member in 2014.

Best Publications

  • A survey of top-k query processing techniques in relational database systems

    Ihab F. Ilyas;George Beskales;Mohamed A. Soliman

  • Top-k Query Processing in Uncertain Databases

    M. A. Soliman;I. F. Ilyas;K. Chen-Chuan Chang

  • Supporting top- k join queries in relational databases

    Ihab F. Ilyas;Walid G. Aref;Ahmed K. Elmagarmid

  • Data Cleaning: Overview and Emerging Challenges

    Xu Chu;Ihab F. Ilyas;Sanjay Krishnan;Jiannan Wang

  • HoloClean: holistic data repairs with probabilistic inference

    Theodoros Rekatsinas;Xu Chu;Ihab F. Ilyas;Christopher Ré

  • CORDS: automatic discovery of correlations and soft functional dependencies

    Ihab F. Ilyas;Volker Markl;Peter Haas;Paul Brown

  • Holistic data cleaning: Putting violations into context

    Xu Chu;I. F. Ilyas;P. Papotti

  • NADEEF: a commodity data cleaning system

    Michele Dallachiesa;Amr Ebaid;Ahmed Eldawy;Ahmed Elmagarmid

  • RankSQL: query algebra and optimization for relational top-k queries

    Chengkai Li;Kevin Chen-Chuan Chang;Ihab F. Ilyas;Sumin Song

  • KATARA: A Data Cleaning System Powered by Knowledge Bases and Crowdsourcing

    Xu Chu;John Morcos;Ihab F. Ilyas;Mourad Ouzzani

  • Discovering denial constraints

    Xu Chu;Ihab F. Ilyas;Paolo Papotti

  • Detecting data errors: where are we and what needs to be done?

    Ziawasch Abedjan;Xu Chu;Dong Deng;Raul Castro Fernandez

  • BigDansing: A System for Big Data Cleansing

    Zuhair Khayyat;Ihab F. Ilyas;Alekh Jindal;Samuel Madden

  • Data Curation at Scale: The Data Tamer System

    Michael Stonebraker;Daniel Bruckner;Ihab F. Ilyas;George Beskales

  • Guided data repair

    Mohamed Yakout;Ahmed K. Elmagarmid;Jennifer Neville;Mourad Ouzzani

  • Efficient search for the top-k probable nearest neighbors in uncertain databases

    George Beskales;Mohamed A. Soliman;Ihab F. Ilyas

  • HoloDetect: Few-Shot Learning for Error Detection

    Alireza Heidari;Joshua McGrath;Ihab F. Ilyas;Theodoros Rekatsinas

  • Sampling the repairs of functional dependency violations under hard constraints

    George Beskales;Ihab F. Ilyas;Lukasz Golab

  • Nile: a query processing engine for data streams

    M.A. Hammad;M.F. Mokbel;M.H. Ali;W.G. Aref

  • Rank-aware query optimization

    Ihab F. Ilyas;Rahul Shah;Walid G. Aref;Jeffrey Scott Vitter

  • Knowledge representation systems and methods incorporating customization

    Peter Joseph Sweeney;Ihab Francis Ilyas

Frequent Co-Authors

Mourad Ouzzani
Mourad Ouzzani Qatar Computing Research Institute
Ahmed K. Elmagarmid
Ahmed K. Elmagarmid Qatar Computing Research Institute
Nan Tang
Nan Tang Hong Kong University of Science and Technology (Guangzhou)
Walid G. Aref
Walid G. Aref Purdue University West Lafayette
Lukasz Golab
Lukasz Golab University of Waterloo
Kevin Chen-Chuan Chang
Kevin Chen-Chuan Chang University of Illinois at Urbana-Champaign
Marco Tagliasacchi
Marco Tagliasacchi Google (Switzerland)

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