Dr. Sanjay Chawla

Research Director
Data Analytics

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QCRI provides an ideal environment to conduct high-impact research which can transcend disciplinary boundaries.

Research Focus at QCRI

Sanjay Chawla is Research Director of QCRI’s Data Analytics Group. His research is in Data Mining and Machine Learning with a specialization in spatio-temporal data mining, outlier detection, class imbalanced classification, and adversarial learning.

Previous Experience

Prior to joining QCRI, Sanjay was a Professor in the Faculty of Engineering and IT at the University of Sydney. From 2008-2011, he also served as the Head (Department Chair) of the School of Information Technologies. Additionally, Sanjay was an academic visitor at Yahoo! Research in 2012.

Sanjay’s work has been recognized by several best paper awards, including in leading conferences such as SIAM International Conference in Data Mining (2006) and IEEE International Conference in Data Mining (2010). He is a co-author on a popular text in spatial database management systems: “Spatial Databases: A Tour,” which has been translated into Chinese and Russian.

Sanjay serves on the Editorial Boards of IEEE TKDE and DMKD Journal, and served previously as PC Chair of PAKDD (2012).  

He received his PhD from the University of Tennessee (USA) in 1995.

Professional Experience


Professional Associations and Awards


Education


Selected Research

  • On Integrated Clustering and Outlier Detection. NIPS 2014. Lionel Ott, Linsey Pang, Fabio Ramos, Sanjay Chawla.
  • Sleep Analytics and the Online Selective Anomaly Detection. SIGKDD 2014. Tara Babaie, Sanjay Chawla and Romesh Abeysuria.
  • On Sparse Feature Attack in Adversarial Learning. IEEE ICDM 2014. Fei Wang, Wei Liu and Sanjay Chawla
  • On the Statistical Consistency of Algorithms for Binary Classification under Class Imbalance.  ICML 2013. Aditya Menon, Harikrishna Narasimhan, Shivani Agarwal and Sanjay Chawla

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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

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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"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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