Dr. Ihab Ilyas-Kaldas

Ihab-Ilyas-3.jpg
Principal Scientist
Data Analytics
+(974) 4454 0621

Connect with me

QCRI is one of the few serious research places in the Middle East and on track to be one for the key research centers worldwide. The opportunity of being part of this growing effort is the major attraction.

Research Focus at QCRI

Ihab’s research focus at QCRI is Data Analytics, in particular, data quality issues, information extraction, and probabilistic processing of uncertain data.

Previous Experience

Ihab Ilyas is an Associate Professor of Computer Science at the University of Waterloo and VP research at Primal. He received his PhD in computer science from Purdue University, West Lafayette in 2004. He holds BS and MS degrees in computer science from Alexandria University, Egypt. He spent two summers with IBM Almaden Research Center and he is currently an IBM CAS faculty fellow since January 2006. His main research is in the area of database systems, with special interest in top-k and rank-aware query processing, managing uncertain and probabilistic databases, self-managing databases, indexing techniques, and spatial databases.

Professional Experience

  • Associate Professor: University of Waterloo, School of Computer Science, (2009 - present)
  • VP-Research: Primal Fusion, Waterloo (2009 – present)
  • Assistant Professor: University of Waterloo, School of Computer Science, (2004 - 2009)
  • Research Assistant: Purdue University, Department of Computer Sciences, (1999 - 2004)
  • Research Intern: IBM Almaden Research Center, summer 2002, and summer 2003
  • Lecturer: Alexandria University, Department of Computer Sciences, (1996 - 1999)

Professional Associations and Awards

Awards:
  • Ontario Early Researcher Award, 2008
  • IBM CAS Faculty Fellow, 2006-present
  • Nominated for ACM Ph.D. Dissertation Award by Purdue University, 2004
  • B.S. with First Degree of Honor (Summa Cum Laude), 1995
Patents:
  • PT1. Amr El-Helw, Ihab F. Ilyas, and Calisto Zuzarte, “Recommending Statistical Views using Cost/Benefit Metrics”, U.S. Patent 7668804, Feb 2010
  • PT2. Amr El-Helw, Ihab F. Ilyas, Wing Lau, Volker Markl and Calisto Zuzarte, “Management of Interesting Database Statistics", U.S. Patent 20090018992 A1, Jan. 15, 2009
  • PT3. Paul Brown, Peter Haas, Ihab F. Ilyas and Volker Markl, “CORDS: Automatic Discovery of Correlations and Soft Functional Dependencies”, US Patent 20050278357
  • PT4. Dengfeng Gao, Ihab F. Ilyas, Eileen Lin, Guy Lohman and Jun Rao, “Estimating Compilation Time of a Query Optimizer”, US Patent 20050071331
Associations:
  • Professional member of the ACM (Association of Computing Machinery) since 2000
  • Member of the ACM Special Interest Group on Management of Data SIGMOD since 2000
  • Member of IEEE since 2006

Education

  • Ph.D. in Computer Science, Purdue University, West Lafayette, 2004
  • M.S. in Computer Science, Alexandria University, Egypt, 1999
  • B.S. in Computer Science, Alexandria University, Egypt, 1995

Selected Research

Books
  • Ihab F. Ilyas and Mohamed A. Soliman, “Probabilistic Ranking Techniques in Relational Databases”, Synthesis Lectures on Data Management, March 2011, 71 pages, Morgan Claypool.
Articles in Refereed Journals and Book Chapters
  • Ihab F. Ilyas, Davide Martinenghi and Marco Tagliasacchi, “Rank-join Algorithms for Search Computing”, Book Chapter, Search Computing Challenges and Directions, Springer LNCS, Vol. 5950, March 2010.
  • Mohamed A. Soliman, Ihab F. Ilyas and Shalev Ben-David, “Supporting Ranking Queries on Uncertain and Incomplete Data”, the VLDB Journal, Volume 19, Number 4, 2010, pp. 477 - 501
  • Peter J. Haas, Ihab F. Ilyas, Guy M. Lohman and Volker Markl, “Discovering Statistical Properties for Query Optimization in Relational Database Systems – a Survey”, Statistical Analysis and Data Mining, Volume 1 Issue 4 (March 2009) pp. 223-250
  • Mohamed A. Soliman, Ihab F. Ilyas and Kevin C.-C. Chang, “Probabilistic Top-k and Ranking-Aggregate Queries”, ACM Transactions on Database Systems (TODS), Volume 33, Issue 3, Article 13, September 2008, 45 pages
Conferences
  • Mohamed A. Soliman, Ihab F. Ilyas, DavideMartinenghi and Marco Tagliasacchi, ”Ranking with Uncertain Scoring Functions: Semantics and Sensitivity Measures”, to appear in Proceedings of the 2011 ACM SIGMOD Conference on Management of Data, Athens, Greece (23%)
  • Mohamed Yakout, Ahmed K. Elmagarmid, Jennifer Neville , Mourad Ouzzani and Ihab F. Ilyas, ”Guided Data Repair”, to appear in Proceedings of the 37th International Conference on Very Large Databases, VLDB 2011, Seattle, Washington, PVLDB 4(5): 279-289 (2011)
  • George Beskales, Ihab F. Ilyas, and Lukasz Golab, “Sampling the Repairs of Functional Dependency Violations under Hard Constraints”, in Proceedings of the 36th International Conference on Very Large Databases, VLDB 2010, Singapore, PVLDB 3(1): 197-207 (2010) (16%)

Connect with me

Follow Us

  • YouTube
  • Twitter
  • Facebook
  • RSS Feed
  • Linkedin
  • github-web.png
Back to Top

In the Media

video game study Haewoon.jpg

People remain calm as the world ends, video game study suggests

28/03/2017

As the world ends, will you lock arms and sing “Kumbayah” or embark on a path of law-breaking, anti-social behavior? A new study, based upon the virtual actions of more than 80,000 players of the ...

Read More

overweight-experiment-pic.jpg

Computer vision research aims to identify overweight people from social media face photos

16/03/2017

Researchers from MIT and the Qatar Computing Research Institute have developed a novel new facility in the current rush of interest towards computer vision – an algorithm that can identify overweight...

Read More

algorithm bridge.jpg

Algorithm can create a bridge between Clinton and Trump supporters

20/02/2017

A growing number of people have expressed their concern about high levels of polarization in society. For instance, the World Economic Forum's report on global risks lists the increasing societal ...

Read More

Upcoming Events

Past Events

2017

Slide1.JPG

QCRI-MIT CSAIL Annual Research Project Review 2017

Download ICS File 27/03/2017 ,

The QCRI – MIT CSAIL Annual Research Project Review is open to the public on Monday, March 27, 2017, at the HBKU Research Complex Multipurpose Room. The annual meeting is a highlight of a ...

Read More

MLDAS 2017

(MLDAS 2017) Machine Learning and Data Analytics Symposium

Download ICS File 13/03/2017  - 14/03/2017 , Qatar National Convention Centre

Machine Learning and Data Analytics Symposium - MLDAS 2017 Building on the success of the three previous events , Boeing and QCRI will hold the Fourth Machine Learning and Data Analytics Symposium (...

Read More

ArabWic for web.jpg

Women in Data Science

Download ICS File 03/02/2017 ,

Here's a great chance to learn about the latest data science-related research in multiple domains, as part of a global project. Qatar's WiDS event will be held here at the HBKU Research Complex on ...

Read More

News Releases

EMan pic for internships (2).jpg

QCRI summer 2017 internship applications open

11/03/2017

The Qatar Computing Research Institute, part of Hamad bin Khalifa University, has announced that applications for its summer internship program have opened. The internships are being offered to ...

Read More

Slide1.JPG

MIT-CSAIL's Patrick Winston tells Qatar audience: 'AI is not a threat'

05/03/2017

Artificial intelligence expert says humans should not consider AI to be a major threat to their existence but should use it to enhance it.

Read More

MLDAS 2016.JPG

Boeing Partners with QCRI for fourth annual Machine Learning and Data Analytics Symposium (MLDAS)

09/02/2017

The Boeing Company has announced that it will once again partner with the Qatar Computing Research Institute (QCRI), part of Hamad bin Khalifa University, to host the fourth annual Machine Learning ...

Read More