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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Upcoming Events

Past Events

2017

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QCRI conducts first summer computing camps for kids

Download ICS File 16/07/2017  - 27/07/2017 ,

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Download ICS File 20/05/2017 ,

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QCRI-MIT CSAIL Annual Research Project Review 2017

Download ICS File 27/03/2017 ,

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News Releases

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QCRI's Ingmar Weber wins UN award for joint gender equality research

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Joint research undertaken by Dr. Ingmar Weber of Qatar Computing Research Institute, part of Hamad Bin Khalifa University, along with scientists from Oxford and Princeton universities, has won a ...

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QCRI’s summer internship program kicks off

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