Dr. Nan Tang

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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

Education

  • 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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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

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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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Regina

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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