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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Cyber security experts advise caution after attacks

16/05/2017

Cyber security experts in Qatar and the region have advised caution and not to access any emails or other information from unknown sources, following the recent wave of cyber attacks across the world...

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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 ...

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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...

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Upcoming Events

Past Events

2017

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QCRI’s Creative Space holds Open House event for kids

Download ICS File 20/05/2017 ,

The Qatar Computing Research Institute’s new Creative Space, which conducts fun activities to teach children computing skills, has successfully held its first Open House event. About 100 children ...

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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 ...

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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 (...

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News Releases

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QCRI’s summer internship program kicks off

07/05/2017

The Qatar Computing Research Institute’s 2017 summer internship program is underway. This year’s program involves computer science and computer engineering students from Carnegie Mellon University, ...

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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 ...

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

05/03/2017

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

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