Dr. Mourad Ouzzani

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Principal Scientist
Data Analytics
+(974) 4454 1433

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To be part of something different than what I had been used to at Purdue University and contribute to the first computing research institution in the region.

Research Focus at QCRI

Dr. Mourad Ouzzani is a Principal Scientist with the Qatar Computing Research Institute at Hamad Bin Khalifa University, Qatar Foundation. Before joining QCRI, Dr. Ouzzani was a Research Associate Professor at Purdue University. Since joining in 2011, Dr. Ouzzani has played a pivotal role in establishing the Data Analytics group within QCRI. Research by Dr. Ouzzani and his colleagues has led to QCRI to be considered one of the leading research groups in data cleaning and data quality.

Dr. Ouzzani's research interests lie in the fields of data management and analytics, with a focus on data integration and data cleaning. He is the project lead of Rayyan, the systematic reviews web and mobile app, that now serves more than 10,000 users worldwide. His work has led to numerous publications, most of which are in top tier venues including PVLDB, TKDE, SIGMOD, and ICDE.

Dr. Ouzzani has been PI or CoPI in more than 15 grant proposals funded by the NSF, NIH, DHS, as well as other agencies. He has received two Seeds of Success Awards from Purdue University. He holds a PhD from Virginia Tech, and a BSc and MSc from USTHB, Algiers, all in Computer Science.

Previous Experience

Before joining QCRI, Dr. Ouzzani was a Research Associate Professor at Purdue University where he worked on different aspects of data management including data integration (schema matching, schema mapping, and record linkage), spatio temporal data management (constraints awareness, massively parallel, adaptiveness), database systems for scientific data (annotation, provenance, deployment on the cloud), and service-oriented computing (efficient querying and composition, access control, and service oriented large scale cyberinfrastructures).

He was the architect of several cyberinfrastructure platforms to support multidisciplinary research including a web-based system to manage experiments and analysis workflows in high throughput ionomics, a hub for enabling data sharing and collaboration around ionomics data, a plant science literature social network, visual data mining tools for network data in metabolomics, and a virtual community for global engineering.

Dr. Ouzzani has been PI or CoPI in more than 15 grant proposals funded by the US National Science Foundation, US National Institutes of Health, QNRF, US Department of Homeland Security, as well as other agencies. He received the Seeds of Success Award from Purdue University for being a CoPI in a $15M grant from the US Department of Homeland Security.

Professional Experience

  • 2015-present: Principal Scientist, QCRI
  • 2011-2014: Senior Scientist, QCRI
  • 2010-2011: Research Associate Professor, Purdue University
  • 2006-2010: Research Assistant Professor, Purdue University,
  • 2004-2006: Visiting Assistant Professor, Purdue University
  • 1999-2004: Graduate Research Assistant, Virginia Tech

Professional Associations and Awards

  • Senior Member of the Association for Computing Machinery (ACM), 2009
  • Member of the IEEE and IEEE computer.
  • Best Demo Award, SIGMOD 2015, Melbourne, Australia.
  • Best Paper Award, 7th International Conference on Similarity Search and Applications, Los Cabos, Mexico, October, 2014.
  • Purdue Seeds of Success Award in 2009 and 2012 for obtaining research funding over $1M.
  • Awarded the Japan Society for the Promotion of Science Postdoctoral Fellowship, August 2004 (declined).
  • Outstanding reviewer by the IEEE Internet Computing, November 2002.
  • USENIX scholar (A one year scholarship of $21,000), 2000.
  • Awarded three-year scholarship for PhD studies, QUT, Brisbane, Australia, 1998.
  • Awarded four-year scholarship for graduate studies in France, 1991 (declined).
  • Outstanding High School Student National Award by the Presidency of Algeria, 1986.

Education

  • PhD in Computer Science, Virginia Tech, 2004
  • MSc in Computer Science, USTHB, Algeria, 1995
  • BSc in Computer Science, USTHB, Algeria, 1991

Selected Research

  • Dong Deng, R Castro Fernandez, Ziawasch Abedjan, Sibo Wang, Michael Stonebraker, Ahmed Elmagarmid, IF Ilyas, Samuel Madden, Mourad Ouzzani, Nan Tang; The Data Civilizer system; Proceedings of the Conference on Innovative Data Systems Research (CIDR), 2017
  • Mourad Ouzzani, Hossam Hammady, Zbys Fedorowicz, Ahmed Elmagarmid; Systematic Review, 5(1), Rayyan—a web and mobile app for systematic reviews; 2016
  • Michele Dallachiesa, Amr Ebaid, Ahmed Eldawy, Ahmed Elmagarmid, Ihab F Ilyas, Mourad Ouzzani, Nan Tang; NADEEF: a commodity data cleaning system; Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data, 2013
  • M Yakout, AK Elmagarmid, J Neville, M Ouzzani, Guided data repair; Proceedings of the VLDB Endowment 4 (5), 2011

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In the Media

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Can AI Put An End To Fake News? Don't Be So Sure

07/10/2018

Fake news was the Collin’s word of the year for 2017 with good reason. In a year where politics-as-usual was torn apart at the seams, high-profile scandals rocked our faith in humanity and the ...

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MIT/QCRI system uses machine learning to build road maps

22/04/2018

Map apps may have changed our world, but they still haven’t mapped all of it yet. Specifically, mapping roads can be difficult and tedious: even after taking aerial images, companies still have to ...

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Improving disaster response efforts through data

08/02/2018

Extreme weather events put the most vulnerable communities at high risk. How can data analytics strengthen early warning systems and and support relief efforts for communities in need? The size and ...

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Upcoming Events

Past Events

2018

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QCRI Summer Internship Program

Download ICS File 06/05/2018  - 05/07/2018 , Hamad Bin Khalifa Research Complex

Each year, Qatar Computing Research Institute organizes a summer internship program for undergraduate students studying computer science, computer engineering and other disciplines. The internship is unpaid, and QCRI does not provide any visa support.

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Public Talk by Prof. Regina Barzilay "Artificial Intelligence for Oncology: Learning to Cure Cancer from Images and Text"

Download ICS File 27/03/2018 ,

Artificial Intelligence for Oncology: Learning to Cure Cancer from Images and Text A talk by Professor Regina Barzilay, MIT CSAIL Winner of 2017 MacArthur ‘genius grant’ At Education City Student ...

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QCRI & MIT-CSAIL Annual Project Review 2018

Download ICS File 27/03/2018 ,

Executive Overview Sessions Open to public Date:    Tuesday, March 27, 2018 Time:    9:00AM – 3:00PM Venue:  HBKU Research Complex Multipurpose Room To view full agenda, please click here . To RSVP, ...

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News Releases

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QCRI to offer kids’ computing activities at this year’s Darb Al Saai

03/12/2018

Tech fun and robotics computing activities will be available to children attending the annual family celebration from December 12 to 20.

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Global experts in artificial intelligence for transportation to visit Qatar for TASMU-QCAI workshop

18/11/2018

Urban computing experts from Europe, the US and Qatar are to discuss state-of-the-art advances in artificial intelligence for transportation with local stakeholders.

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QCAI to Conduct Joint Machine Learning School with BigML

16/10/2018

Two-day crash course to provide hands-on introduction to machine learning for industry practitioners, developers, graduate students and undergraduates.

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