Dr. Sanjay Chawla

Principal Scientist
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 a Principal Scientist in 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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Computer vision research aims to identify overweight people from social media face photos

16/03/2017

Researchers from MIT and the Qatar Computing Research Institute have developed a novel new facility in the current rush of interest towards computer vision – an algorithm that can identify overweight...

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Algorithm can create a bridge between Clinton and Trump supporters

20/02/2017

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29/01/2017

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Upcoming Events

2017

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QCRI-MIT CSAIL Annual Research Project Review 2017

Download ICS File 27/03/2017 ,

The QCRI – MIT CSAIL Annual Research Project Review is open to the public on Monday, March 27, 2017, at the HBKU Research Complex Multipurpose Room. The annual meeting is a highlight of a ...

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Past Events

MLDAS 2017

(MLDAS 2017) Machine Learning and Data Analytics Symposium

Download ICS File 13/03/2017  - 14/03/2017 , Qatar National Convention Centre

Machine Learning and Data Analytics Symposium - MLDAS 2017 Building on the success of the three previous events , Boeing and QCRI will hold the Fourth Machine Learning and Data Analytics Symposium (...

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Women in Data Science

Download ICS File 03/02/2017 ,

Here's a great chance to learn about the latest data science-related research in multiple domains, as part of a global project. Qatar's WiDS event will be held here at the HBKU Research Complex on ...

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News Releases

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QCRI summer 2017 internship applications open

11/03/2017

The Qatar Computing Research Institute, part of Hamad bin Khalifa University, has announced that applications for its summer internship program have opened. The internships are being offered to ...

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Leading AI expert Patrick Winston to visit Qatar

05/03/2017

Patrick Winston, a Professor of Artificial Intelligence and Computer Science at Massachusetts Institute of Technology’s Computer Science and Artificial Intelligence Laboratory, is to visit Qatar to ...

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Boeing Partners with QCRI for fourth annual Machine Learning and Data Analytics Symposium (MLDAS)

09/02/2017

The Boeing Company has announced that it will once again partner with the Qatar Computing Research Institute (QCRI), part of Hamad bin Khalifa University, to host the fourth annual Machine Learning ...

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