Meghna Singh

Software Engineer
Social Computing

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Research Focus at QCRI

Meghna Singh works in the domain of health informatics with a goal of improving health and lives of people using multi-modal data from wearable sensors, social media, health records, etc. She is the lead engineer in building QCRI's Sleep Tools platform - an open source toolkit for the visualization and analysis of sleep and actigraphy data using machine learning.

Before joining QCRI, Meghna worked at IBM’s India Research Lab on their SpokenWeb project to build a voice-based parallel Internet using Java technologies and VoiceXML to increase accessibility of the Internet for the rural poor. She has also worked in the R&D department of Manhattan Associates in Atlanta and has a MS in Computer Science from Georgia Tech, USA.

Previous Experience


Professional Experience

2010-2013: Software Engineer, IBM Research Lab, New Delhi, India

2008-2009: Software Engineer, Manhattan Associates, Atlanta, GA, USA

Professional Associations and Awards

 2015 Grand Prize in “Open Source Software” World Challenge by the Korean Ministry of Science, ICT and Future Planning for Artificial Intelligence for Disaster Relief (AIDR) system


Ms Computer Science, Georgia Institute of Technology, Atlanta, GA, USA
BE Computer Science and Engineering, University of Rajasthan, India

Selected Research

Meghna Singh, Luis Fernandez-Luque, Jaideep Srivastava: The 360QS Toolkit for Sleep and Physical Activity Analysis based on Wearables; IEEE International Symposium on Computer-Based Medical Systems (IEEE CBMS 2017)

Luis Fernandez-Luque, Meghna Singh, Ferda Ofli, Yelena Mejova, Ingmar Weber, Michael Aupetit, Sahar Jreige, Ahmed Elmagarmid, Jaideep Srivastava, Mohamed Ahmedna
Implementing 360-degree Quantified Self for Childhood Obesity: Feasibility study and Experiences from a Weight Loss Camp in Qatar; BMC Medical Informatics and Decision Making Open Access Journal; 2017

Zuhair Khayyat, William Lucia, Meghna Singh, Mourad Ouzzani, Paolo Papotti, Jorge-Arnulfo Quiane-Ruiz, Nan Tang and Panos Kalnis: Fast and Scalable Inequality Joins; The VLDB Journal 2016, VLDB 2016 p1-26; 2016

Zuhair Khayyat, William Lucia, Meghna Singh, Mourad Ouzzani, Paolo Papotti, Jorge-Arnulfo Quiane-Ruiz, Nan Tang and Panos Kalnis: Lightning Fast and Space Efficient Inequality Joins; Proceedings of VLDB Endowment Volume 8 Issue 13 (VLDB 2016) p2074-2085; , 2016

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In the Media


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Upcoming Events


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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


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


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


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


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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