Dr. Gautam Das

Dr. Gautam Das - Copy.jpg
Principal Scientist
Social Computing
+(974) 4454 1225

Connect with me

I have been impressed by the vision and growth potential of a world-class research institute in this part of the world.

Research Focus at QCRI

Gautam’s research interests span data mining, information retrieval, databases, algorithms and computational geometry. He is currently interested in ranking, top-k query processing, and sampling problems in databases, as well as data management problems in the deep web, social networks, blogs and web communities.

Previous Experience

Gautam is a Professor at the University of Texas at Arlington, and have also held positions Microsoft Research,  Compaq Corporation and the University of Memphis.
 

Professional Experience

  • University of Texas at Arlington, Professor, 2004 – present
  • Microsoft Research, Researcher, 1999-2004
  • Compaq Corporation, 1998-1999
  • University of Memphis, Associate Professor, 1990-1998

Professional Associations and Awards

  • IEEE ICDE Influential Paper Award, 2012
  • VLDB Best Papers Special Issue 2007
  • ECML-PKDD Best Paper, 2006
  • ACM SIGKDD Best Paper Runner Up, 1998

Education

  • Ph.D in Computer Science University of Wisconsin, 1990
  • B.Tech in Computer Science, Indian Institute of Technology, Kanpur, 1983

Selected Research

  • Davide Mottin, Alice Marascu, Senjuti Basu Roy, Gautam Das, Themis Palpanas, Yannis Velegrakis: A Probabilistic Optimization Framework for the Empty-Answer Problem. Full paper, VLDB 2014.
  • Mingyang Zhang, Nan Zhang, Gautam Das: Mining a Search Engine's Corpus Without a Query Pool, full paper, CIKM 2013
  • Mahashweta Das, Vagelis Hristidis, Gautam Das: Generating Informative Snippet to Maximize Item Visibility, short paper, CIKM 2013
  • Senjuti Basu Roy, Ioanna Lykourentzou, Saravanan Thirumuruganathan, Sihem Amer-Yahia and Gautam Das:Crowds, not Drones: Modeling Human Factors in Interactive Crowdsourcing, DBCrowd2013 to be held in conjunction with VLDB 2013.
  • Nan Zhang, Saravanan Thirumuruganathan, Gautam Das: Rank Discovery From Web Databases. In Proc. of VLDB 2014 (to appear)
  • Nan Zhang, Chengkai Li, Naeemul Hassan, Sundaresan Rajasekaran, Gautam Das: On Skyline Groups. In IEEE Transactions on Knowledge and Data Engineering (TKDE), 2013.
  • Saravanan Thirumuruganathan, Nan Zhang, Gautam Das: Breaking the Top-k Barrier of Hidden Web Databases. In Proc. of ICDE 2013.
  • Zhuojie Zhou, Nan Zhang, Zhiguo Gong, Gautam Das: Faster Random Walks By Rewiring Online Social Networks On-The-Fly. In Proc. of ICDE 2013.
  • Mahashweta Das (UTA), Saravanan Thirumuruganathan (UTA), Sihem Amer-Yahia (QCRI), Gautam Das (QCRI and UTA) and Cong Yu (Google), “Who Tags What? An Analysis Framework”, Full paper, at VLDB 2012, Istanbul.
  • Saravanan Thirumuruganathan (UTA), Mahashweta Das (UTA), Shrikant Desai (UTA), Sihem Amer-Yahia (QCRI), Gautam Das (QCRI and UTA) and Cong Yu (Google), “MapRat: Meaningful Explanation, Interactive Exploration and Geographic Visualization of Collaborative Ratings”. Demo paper at VLDB 2012, Istanbul.
  • Mingyang Zhang (George Wash. U), Nan Zhang(George Wash. U), and Gautam Das (QCRI and UTA), “Aggregate Suppression for Enterprise Search Engines”, Full paper, in Proc. of ACM SIGMOD 2012, Scottsdale, Arizona.
  • Alexandra Stefan (UTA), Vassilis Athitsos (UTA), and Gautam Das (QCRI and UTA), “The Move-Split-Merge Metric for Time Series. To appear in IEEE Transactions on Knowledge and Data Engineering (TKDE), 2012.
  • Chengkai Li (UTA), Nan Zhang (George Wash. U), Naeemul Hassan (UTA), S. Rajasekaran (George Wash. U),  Gautam Das (QCRI and UTA), “On Skyline Groups”, CIKM 2012, Maui, Hawaii.

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In the Media

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Algorithm can create a bridge between Clinton and Trump supporters

20/02/2017

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Taming data

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The age of big data has seen a host of new techniques for analyzing large data sets. But before any of those techniques can be applied, the target data has to be aggregated, organized, and cleaned up...

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Upcoming Events

2017

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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Past Events

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Women in Data Science

Download ICS File 03/02/2017 ,

Here's a great chance to learn about the latest data science-related research in multiple domains, as part of a global project. Qatar's WiDS event will be held here at the HBKU Research Complex on ...

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2016

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QCRI - IBM Data Science Connect 2016

Download ICS File 16/11/2016 ,

QCRI–IBM Data Science Connect 2016  Doha, Qatar 12.30pm –5:30pm, Wednesday, November 16 HBKU Research Complex, Ground Level Multi-Purpose Room Google Map link to location https://goo.gl/maps/...

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News Releases

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Boeing Partners with QCRI for fourth annual Machine Learning and Data Analytics Symposium (MLDAS)

09/02/2017

The Boeing Company has announced that it will once again partner with the Qatar Computing Research Institute (QCRI), part of Hamad bin Khalifa University, to host the fourth annual Machine Learning ...

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QCRI’s Jalees Reader app launched in more languages

06/12/2016

French and German interfaces added for free app which allows users to upload books and read them offline.

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IBM Watson scientist visits Qatar to present platform that 'thinks like a human'

16/11/2016

IBM Watson’s chief data scientist Romeo Kienzler has visited the Qatar Computing Research Institute to conduct a workshop on Watson, a question-answering platform that can “think like a human”. Mr ...

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