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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CSAIL hosts annual meeting highlighting innovative collaboration with QCRI

10/10/2017

This year CSAIL celebrates five years of collaboration with the Qatar Computing Research Institute (QCRI), an esteemed research institute that’s part of Hamad Bin Khalifa University in Doha. This ...

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Study: On Twitter, you're better off fact-checking your crazy uncle than a complete stranger

12/09/2017

A new study has found what many of us have always thought to be true: We are more likely to accept correction from people we know than strangers. The  study , conducted by researchers at Cornell, ...

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Artificial intelligence suggests recipes based on food photos

25/07/2017

There are few things social media users love more than flooding their feeds with photos of food. Yet we seldom use these images for much more than a quick scroll on our cellphones. Researchers from ...

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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 ,

Children and teenagers have been given a rare chance to develop their computing skills with world-class computing scientists at the first summer computing camp conducted by the Qatar Computing ...

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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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News Releases

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

21/09/2017

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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Qatar girls embrace technology to tackle obesity

11/09/2017

Mothers are also more likely to use social media to learn about a healthy lifestyle than fathers, new study finds.

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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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