Dr. Carlos Castillo

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Principal Scientist
Social Computing
+(974) 44541228
QCRI is an energetic research lab providing a great opportunity for starting a new line of research. Also, Doha is a city full of adventurers.

Research Focus at QCRI

Carlos focuses on news and crisis. On the news side, he works on developing methods that help journalists make sense of social media around news events. On the crisis side, he works on extracting timely and credible information for social media, humanitarian, and crisis response purposes.

Previous Experience

Carlos is a web miner with a background on information retrieval, and has been influential in the areas of adversarial web search and web content quality and credibility. He is an active researcher with more than 60 publications in top-tier international conferences and journals, including two monographs on Adversarial Web Search and Information and Influence Propagation, and roughly 4700 citations.

He received his Ph.D from the University of Chile, and was a visiting scientist at Universitat Pompeu Fabra (2005) and Sapienza Universitá di Roma before working as a research scientist at Yahoo! Research for six years. He has served in the PC or SPC of all major conferences in his area (WWW, WSDM, SIGIR, KDD, CIKM, etc.). He was PC co-chair of WSDM 2014, and co-organized the Adversarial Information Retrieval Workshop and Web Spam Challenge in 2007 and 2008, the ECML/PKDD Discovery Challenge in 2010 and 2014, and the Web Quality Workshop from 2011 to 2014.

Professional Experience

 

Professional Associations and Awards

 

Education

 

Selected Research

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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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