Dr. Saravanan Thirumuruganathan

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Scientist
Data Analytics

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Research Focus at QCRI

Dr. Thirumuruganathan is a scientist in the Data Analytics department at QCRI. His current research mainly focuses on data cleaning, urban computing and scalable data analytics. Before joining QCRI, he obtained his Ph.D from University of Texas at Arlington, USA working under the supervision of Dr.Gautam Das on deep web databases, crowdsourcing and analytics over social media and graphs.

Previous Experience

Dr. Thirumuruganathan obtained his PhD from University of Texas at Arlington, USA in 2015. His research interests then were deep web databases, crowdsourcing and analytics over social media and graphs.

Professional Experience

 

Professional Associations and Awards

  •  Member of ACM and IEEE
  •  Paper "Who Tags What? An Analysis Framework" was invited to VLDB-Journal special issue on Best of VLDB 2012.
  • Recipient of Outstanding PhD Student award at University of Texas at Arlington, 2014.

Education

  •  PhD in Computer Science, University of Texas at Arlington, 2015
  •  MS in Computer Science, University of Texas at Arlington, 2010

Selected Research

Zoi Kaoudi, Jorge-Arnulfo Quiané-Ruiz, Saravanan Thirumuruganathan, Sanjay Chawla, Divy Agrawal
A Cost-based Optimizer for Gradient Descent Optimization. In SIGMOD, 2017

Saravanan Thirumuruganathan, Laure Berti-Equille, Mourad Ouzzani, Jorge-Arnulfo Quiané-Ruiz, Nan Tang
UGuide - User-Guided Discovery of FD-Detectable Errors. In SIGMOD, 2017

Farhadur Rahman, Saad Bin Suhaim, Weimo Liu, Saravanan Thirumuruganathan, Nan Zhang, Gautam Das: HDBSCAN: Density based Clustering over Location Based Services. In ICDE, 2017.

Abolfazl Asudeh, Saravanan Thirumuruganathan, Nan Zhang, Gautam Das: Discovering the Skyline of Web Databases. In PVLDB, 2016.

Saravanan Thirumuruganathan, Habibur Rahman, Sofiane Abbar, and Gautam Das: Beyond Itemsets: Mining Frequent Featuresets over Structured Items. In PVLDB 2015

Yachao Lu, Saravanan Thirumuruganathan, Nan Zhang, Gautam Das: Hidden Database Research and Analytics (HYDRA) System. In IEEE Data Engineering Bulletin, 38(3), 2015.

Azade Nazi, Zhuojie Zhou, Saravanan Thirumuruganathan, Nan Zhang, and Gautam Das: Walk, Not Wait: Faster Sampling Over Online Social Networks. In PVLDB 2015.

Senjuti Basu Roy, Saravanan Thirumuruganathan, Sihem Amer-Yahia, Gautam Das: Task-Assignment Optimization in Knowledge Intensive Crowdsourcing. In VLDB Journal, 2015.



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In the Media

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Can AI Put An End To Fake News? Don't Be So Sure

07/10/2018

Fake news was the Collin’s word of the year for 2017 with good reason. In a year where politics-as-usual was torn apart at the seams, high-profile scandals rocked our faith in humanity and the ...

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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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Upcoming Events

Past 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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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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Global experts in artificial intelligence for transportation to visit Qatar for TASMU-QCAI workshop

18/11/2018

Urban computing experts from Europe, the US and Qatar are to discuss state-of-the-art advances in artificial intelligence for transportation with local stakeholders.

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QCAI to Conduct Joint Machine Learning School with BigML

16/10/2018

Two-day crash course to provide hands-on introduction to machine learning for industry practitioners, developers, graduate students and undergraduates.

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MIT-CSAIL hosts annual meeting highlighting collaboration with QCRI

14/10/2018

QCRI scientists travel to MIT-CSAIL campus in Boston to update research projects.

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