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

Education

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; http://www.vldb.org/pvldb/vol8/p2074-khayyat.pdf , 2016

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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

Past 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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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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QCAI to Conduct Joint Machine Learning School with BigML

16/10/2018

Two-day crash course to provide hands-on introduction to machine learning for industry practitioners, developers, graduate students and undergraduates.

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MIT-CSAIL hosts annual meeting highlighting collaboration with QCRI

14/10/2018

QCRI scientists travel to MIT-CSAIL campus in Boston to update research projects.

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The drivers behind our new Qatar Center for Artificial Intelligence (QCAI)

03/10/2018

QCRI's Executive Director Dr. Ahmed Elmagarmid explains why we have created a new AI hub in Qatar.

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