QCRI provides an ideal environment to conduct high-impact research which can transcend disciplinary boundaries.
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.
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.
In the Media
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 ...
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.
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 ...
Tech fun and robotics computing activities will be available to children attending the annual family celebration from December 12 to 20.
Urban computing experts from Europe, the US and Qatar are to discuss state-of-the-art advances in artificial intelligence for transportation with local stakeholders.
Two-day crash course to provide hands-on introduction to machine learning for industry practitioners, developers, graduate students and undergraduates.