Dr. Nan Tang

Senior Scientist
Data Analytics
+(974) 4454 2850

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I joined QCRI because the institute is heading in the direction where I want to be.

Research Focus at QCRI

Dr Nan Tang’s research interests include big data analytics, data curation and data stream management.
At QCRI, he is involved in two main projects. The NADEEF project aims to develop a commodity data cleaning system, which is extensible, generic and easy-to-deploy. The second project is a QCRI-CSAIL collaboration called Data Civilizer, that finds and links related data scattered across digital files, for easy querying and filtering.

Previous Experience

Nan was a Research Fellow at LFCS (Laboratory for Foundations of Computer Science) at the University of Edinburgh, Edinburgh, UK (2010--2011).

He was a scientific staff member with the CWI (Dutch National Research Center for Mathematics and Computer Science), Amsterdam, Netherlands (2008--2010).

Nan obtained his PhD from The Chinese University of Hong Kong, China (2007). He holds a visiting position at University of Waterloo, Canada (03/2007-08/2007).

Professional Experience

  • LFCS, University of Edinburgh, research fellow, 2010/2 – 2011/11
  • CWI, Netherlands, research staff member, 2008/02-2010/01

Professional Associations and Awards

  • Membership of IEEE and ACM


  • PhD. Systems Engineering and Engineering Management, Chinese University of Hong Kong, 2007
  • Master, CS, Northeastern University, China, 2004

Selected Research

  • Cleaning Relations using Knowledge Bases The 33st International Conference on Data Engineering (ICDE), San Diego, California, USA, 2017.
    Shuang Hao, Nan Tang, Guoliang Li and Jian Li.
  • The Data Civilizer System The biennial Conference on Innovative Data Systems Research (CIDR), Chaminade, California, USA, 2017.
    Dong Deng, Raul Castro Fernandez, Ziawasch Abedjan, Sibo Wang, Michael Stonebraker, Ahmed Elmagarmid, Ihab F. Ilyas, Samuel Madden, Mourad Ouzzani and Nan Tang.

  • Fast and Scalable Inequality Joins. The VLDB Journal (VLDBJ), 2016 (Special issue: Best Papers of VLDB 2015, invited).Zuhair Khayyat, William Lucia, Meghna Singh, Mourad Ouzzani, Paolo Papotti, Jorge-Arnulfo Quiane-Ruiz, Nan Tang, and Panos Kalnis.

  • Graph Stream Summarization: From Big Bang to Big Crunch ACM SIGMOD Conference on Management of Data (SIGMOD), San Francisco, USA, 2016.
    Nan Tang, Qing Chen, and Prasenjit Mitra.
  • Interactive and Deterministic Data Cleaning: A Tossed Stone Raises a Thousand Ripples
    ACM SIGMOD Conference on Management of Data (SIGMOD), San Francisco, USA, 2016.
    Jian He, Enzo Veltri, Donatello Santoro, Guoliang Li, Giansalvatore Mecca, Paolo Papotti, and Nan Tang.
  • Detecting Data Errors: Where are we and what needs to be done? The 42nd International Conference on Very Large Data Bases (VLDB), New Delhi, India, 2016.
    Ziawasch Abedjan, Xu Chu, Dong Deng, Raul Castro Fernandez, Ihab F. Ilyas, Mourad Ouzzani, Paolo Papotti, Michael Stonebraker, and Nan Tang.
  • Lightning Fast and Space Efficient Inequality Joins.
    The 42nd International Conference on Very Large Data Bases (VLDB), New Delhi, India, 2016.
    Zuhair Khayyat, William Lucia, Meghna Singh, Mourad Ouzzani, Paolo Papotti, Jorge-Arnulfo Quiane-Ruiz, Nan Tang, and Panos Kalnis.

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In the Media

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Improving disaster response efforts through data


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Upcoming Events



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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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 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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News Releases


QCRI’s Advanced Transcription System snares ARC’18 Best Innovation Award


Her Highness Sheikha Moza bint Nasser presents accolade for system that automatically converts speech to text using state-of-the-art speech recognition techniques.

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QCRI signs three-year MoU with the Berlin Big Data Center


MoU will promote collaboration via an exchange of research, academic materials, faculty and research scholars.

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Hundreds attend QCRI's first Creative Space Fair


Attendance at inaugural event shows 'buoyant interest' in computing in Qatar.

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