Data Analytics

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QCRI’s Data Analytics department's research expertise transcends the data science stack - from data extraction and cleaning to analytics, retrieval, inference and prediction.  The group expresses its research by publishing in the world’s leading computer science conferences and journals, and through engineering prototype software systems that are being used by researchers and practitioners worldwide.  More specifically the group is working on the following projects:

- RHEEM is the world’s first cross-platform system which seamlessly decouples data science application tasks from their underlying execution platform. Users specify data analytical tasks, and the RHEEM platform will automatically decide on which combination of platforms to execute the tasks on. The RHEEM platform includes ML4ALL, a machine learning suite that is specifically designed for big data.

- The Data Civilizer project, in partnership with MIT, is carrying out research to resolve a core bottleneck facing all data-rich organizations – how to automatically extract knowledge from thousands of heterogeneous data sources that are scattered throughout an enterprise. The technology developed as part of a project is being used by a large pharmaceutical company for data integration and analysis.

- The Kharita map inference algorithm infers road networks from noisy GPS traces in real time. Kharita is being used to automatically update maps in environments witnessing rapid changes and where existing map and navigation applications quickly become out-of-sync with the ground realities.

- Rayyan is a sophisticated and fast-growing text retrieval system for carrying out systematic reviews in the medical domain. Researchers use Rayyan to efficiently evaluate competing claims regarding a medical hypothesis under investigation.

The Data Analytics department has also established deep research partnerships with The Boeing Company and Qatar Airways in the areas of predictive maintenance and cargo prediction.



Research Director

Dr. Sanjay Chawla

QCRI provides an ideal environment to conduct high-impact research which can transcend disciplinary boundaries.
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Research Director

Asharaf Aboulnga2

Dr. Ashraf Aboulnaga

QCRI is an ambitious and energetic place that is on track to become a top research center worldwide. I want to be part of making that happen.
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Principal Scientist

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Dr. Mourad Ouzzani

To be part of something different than what I had been used to at Purdue University and contribute to the first computing research institution in the region.
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Principal Scientist

Dr, Xaiosong Ma 

Dr. Xiaosong Ma

I am fortunate to be part of QCRI's experiments in conducting solid, problem-driven, and impact-oriented research in computer science and engineering
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Principal Scientist


Dr. Halima Bensmail

Leadership is the most important factor that attracted me to QCRI. Need for creativity is the second factor. Innovation is a very important factor at QCRI. At QCRI we are being challenged continuously, we have been asked to think big. We are supposed to do research with applications that are of great impact, nationally and internationally.
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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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Events

Past Events

2019

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(MLDAS 2019) Machine Learning and Data Analytics Symposium

Download ICS File 01/04/2019  - 02/04/2019 ,

Machine Learning and Data Analytics Symposium - MLDAS 2019 Building on the success of the three previous events , Boeing and QCRI will hold the fifth Machine Learning and Data Analytics Symposium (...

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"Learning to See" Public talk by Professor Antonio Torralba (MIT-CSAIL)

Download ICS File 25/03/2019 ,

Visit by Antonio Torralba, who teaches machines to automate tasks that a human visual system can accomplish, is part of annual spring research update between QCRI and MIT-CSAIL.

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QCRI - MIT CSAIL 2019 Annual Project Review

Download ICS File 25/03/2019 ,

Executive Overview Sessions Open to publi Date: March 25, 2019 Time: 10:15AM - 5:15PM Venue: Hamad Bin Khalia Reseach Complex Multipurpose Room To view agenda, please click here . To RSVP to this ...

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News

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QCRI and iMMAP announce Memorandum of Understanding

03/03/2019

Pact aims to apply data analysis and artificial intelligence techniques to solve humanitarian problems.

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UNDP partners with QCRI to use AI for social good

11/02/2019

Qatar forum on leveraging AI to solve humanitarian problems fills to capacity.

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Renowned computing expert C. Mohan to bust blockchain myths in Qatar talk

22/01/2019

Well-known inventor of database recovery algorithms to deliver keynote at QCRI's first blockchain workshop.

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