Dr. Gautam Das

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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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MIT/QCRI system uses machine learning to build road maps

22/04/2018

Map apps may have changed our world, but they still haven’t mapped all of it yet. Specifically, mapping roads can be difficult and tedious: even after taking aerial images, companies still have to ...

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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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Your sloppy bitcoin drug deals will haunt you for years

28/01/2018

Perhaps you bought some illegal narcotics on the Silk Road half a decade ago, back when that digital black market for every contraband imaginable was still online and bustling. You might already ...

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Upcoming 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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Past Events

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 and Turkish scientists to build pre-emptive cyber security platform

10/04/2018

Project to build defensive platform to detect emerging cyberattacks awarded $1.65m grant.

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MIT-CSAIL researchers visit Doha for annual QCRI research meeting

25/03/2018

Meeting updates joint research projects between the two institutions and will feature 'genius grant' recipient Prof. Regina Barzilay, who uses AI to detect cancer, as keynote speaker.

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QCRI’s Advanced Transcription System snares ARC’18 Best Innovation Award

19/03/2018

Her Highness Sheikha Moza bint Nasser presents accolade for system that automatically converts speech to text using state-of-the-art speech recognition techniques.

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