Raggi Al Hammouri

 
Research Assistant
Data Analytics

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Research Focus at QCRI

Raggi al Hammouri is a Research Assistant at QCRI’s Data Analytics Group. His research interests lie in artificial intelligence, machine learning, data science, and big data social analytics.

In Fall 2015, Raggi held a research affiliation at Massachusetts Institute of Technology’s Computer Science and Artificial Intelligence Laboratory on secondment from QCRI, where he developed a processing pipeline for collecting and cleaning geo-tagged social media image datasets.

Prior to joining QCRI in early 2014, Raggi was a Computer Scientist and Artificial Intelligence Specialist with Williams Advanced Engineering, WilliamsF1. He worked effectively on the WilliamsF1 road safety and driver training simulator, developing artificial intelligence solutions for simulating realistic traffic behaviors and training scenarios with dynamic unpredictability and aggression factors.

He obtained his BSc in Computer Science from Carnegie Mellon University in Qatar in 2013.

Previous Experience

 

Professional Experience

 

Professional Associations and Awards

- 2011: Qatar Foundation Achiever; Qatar Foundation; Doha, Qatar.

- 2012: Meeting of the Minds 2nd Best Undergraduate Project; Carnegie Mellon University; Doha, Qatar.

- 2014: Global Shaper; World Economic Forum; Doha, Qatar.
 

Education

 2013: BSc in Computer Science, Carnegie Mellon University, Doha, Qatar

Selected Research

Ofli, F., Aytar, Y., Weber, I., Al Hammouri, R., & Torralba, A
Is Saki #delicious? The Food Perception Gap on Instagram and Its Relation to Health. WWW: 509-518. 2017

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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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