Dr. Kareem Darwish

Kareem Darwish
Principal Scientist
Arabic Language Technologies
+(974) 4454 0628

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Research Focus at QCRI


Dr. Kareem Darwish is a principal scientist at QCRI with interest in information retrieval, digital libraries, and natural language processing. 

Previous Experience

Dr. Darwish attained his PhD from the University of Maryland, College Park in 2003 under the supervision of Douglas W. Oard. He worked as a researcher at the Cairo Microsoft Innovation Lab and the IBM Human Language Technologies group in Cairo. He also taught in the Electrical Engineering Department at the German University in Cairo and the Faculty of Computer and Informatics at Cairo University. He supervised/mentored many Masters students, research assistants, and research engineers. Many of them have moved on to prestigious graduate programs at Carnegie Mellon, Purdue, Dublin City University, Royal Melbourne Institute of Technology, and Columbia University. He has also established three startups in the areas of electronic publishing, news aggregation, and audio production. He joined QCRI in February 2011 as the founding member of the ALT group. 

 

Professional Experience

 A principal scientist at QCRI with interest in information retrieval, digital libraries, and natural language processing, Kareem Darwish consulted with Kevric, a bioinformatics firm in Maryland, and worked as a researcher at the Cairo Microsoft Innovation Lab and the IBM Human Language Technologies group in Cairo. He also taught in the Electrical Engineering Department at the German University in Cairo and the Faculty of Computer and Informatics at Cairo University.

 

 

Professional Associations and Awards

 

Education

Ph.D., Computer Science, University of Maryland, College Park, 2003
MS, Computer Science, University of Maryland, College Park,1999 
BS, Computer Science, University of Maryland, College Park,1995

Selected Research

 

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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

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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Past Events

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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 Releases

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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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