World's Best Scientists 2026 revealed!
Award Badge
Computer Science
Qatar
2026

D-Index & Metrics

Computer Science

D-Index
46
Citations
10317
World Ranking
6764
National Ranking
10

Research.com Recognitions

  • 2026 - Research.com Computer Science in Qatar Leader Award
  • 2025 - Research.com Computer Science in Qatar Leader Award

Overview

Sanjay Chawla is affiliated with the Qatar Computing Research Institute in Qatar. Their academic output is primarily concentrated within the field of Computer Science, with a significant focus on Artificial Intelligence. The subfields of their research also encompass Computer Vision and Pattern Recognition, Molecular Biology, Statistical and Nonlinear Physics, and Information Systems.

The scientist's recent publication record includes:

  • Interpretable scientific discovery with symbolic regression: a review, 2024, published in Artificial Intelligence Review
  • RoadTagger: Robust Road Attribute Inference with Graph Neural Networks, 2020, published in Proceedings of the AAAI Conference on Artificial Intelligence
  • Inferring high-resolution traffic accident risk maps based on satellite imagery and GPS trajectories, 2021, published in 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Simple and effective neural-free soft-cluster embeddings for item cold-start recommendations, 2020, published in Data Mining and Knowledge Discovery
  • Protecting Private Attributes in App Based Mobile User Profiling, 2020, published in IEEE Access

The scientist has collaborated frequently with several coauthors:

  • Hüsrev Taha Sencar (7 joint publications)
  • Safa Messaoud (6 joint publications)
  • Songtao He (5 joint publications)
  • Mohammad Reza Alizadeh (5 joint publications)
  • Hari Balakrishnan (5 joint publications)

Publication venues where the scientist has appeared multiple times include arXiv (Cornell University) with 24 publications, Communications of the ACM and Value in Health with 2 publications each, as well as Artificial Intelligence Review and Proceedings of the AAAI Conference on Artificial Intelligence.

Main topics covered by their research consist of:

  • Adversarial Robustness in Machine Learning
  • Anomaly Detection Techniques and Applications
  • Automated Road and Building Extraction
  • Remote Sensing and LiDAR Applications
  • Generative Adversarial Networks and Image Synthesis
  • Human Mobility and Location-Based Analysis
  • Digital Media Forensic Detection

Best Publications

  • Deep Learning for Anomaly Detection: A Survey.

    Raghavendra Chalapathy;Sanjay Chawla

  • Spatial Databases: A Tour

    Shashi Shekhar;Sanjay Chawla

  • Discovering spatio-temporal causal interactions in traffic data streams

    Wei Liu;Yu Zheng;Sanjay Chawla;Jing Yuan

  • Robust Deep Learning Methods for Anomaly Detection

    Raghavendra Chalapathy;Nguyen Lu Dang Khoa;Sanjay Chawla

  • Spatial databases-accomplishments and research needs

    S. Shekhar;S. Chawla;S. Ravada;A. Fetterer

  • RoadTracer: Automatic Extraction of Road Networks from Aerial Images

    Favyen Bastani;Songtao He;Sofiane Abbar;Mohammad Alizadeh

  • Anomaly Detection using One-Class Neural Networks.

    Raghavendra Chalapathy;Aditya Krishna Menon;Sanjay Chawla

  • k-means--: A Unified Approach to Clustering and Outlier Detection

    Sanjay Chawla;Aristides Gionis

  • Spatial contextual classification and prediction models for mining geospatial data

    S. Shekhar;P.R. Schrater;R.R. Vatsavai;Weili Wu

  • Inferring the Root Cause in Road Traffic Anomalies

    Sanjay Chawla;Yu Zheng;Jiafeng Hu

  • SLOM: a new measure for local spatial outliers

    Sanjay Chawla;Pei Sun

  • Class confidence weighted kNN algorithms for imbalanced data sets

    Wei Liu;Sanjay Chawla

  • A robust decision tree algorithm for imbalanced data sets

    Wei Liu;Sanjay Chawla;David A. Cieslak;Nitesh V. Chawla

  • On detection of emerging anomalous traffic patterns using GPS data

    Linsey Xiaolin Pang;Sanjay Chawla;Wei Liu;Yu Zheng

  • Mining for outliers in sequential databases

    Pei Sun;Sanjay Chawla;Bavani Arunasalam

  • Efficient Thompson sampling for online matrix-factorization recommendation

    Jaya Kawale;Hung Bui;Branislav Kveton;Long Tran Thanh

  • On local spatial outliers

    Pei Sun;S. Chawla

  • Robust, Deep and Inductive Anomaly Detection

    Raghavendra Chalapathy;Aditya Krishna Menon;Sanjay Chawla

  • SparseDTW: a novel approach to speed up dynamic time warping

    Ghazi Al-Naymat;Sanjay Chawla;Javid Taheri

  • Mining spatio-temporal association rules, sources, sinks, stationary regions and thoroughfares in object mobility databases

    Florian Verhein;Sanjay Chawla

Frequent Co-Authors

Shashi Shekhar
Shashi Shekhar University of Minnesota
Wei Liu
Wei Liu University of Technology Sydney
Aristides Gionis
Aristides Gionis Royal Institute of Technology
Chang-Tien Lu
Chang-Tien Lu Virginia Tech
Weili Wu
Weili Wu The University of Texas at Dallas
Ahmed K. Elmagarmid
Ahmed K. Elmagarmid Qatar Computing Research Institute
Aditya Krishna Menon
Aditya Krishna Menon Google (United States)
Joachim Gudmundsson
Joachim Gudmundsson University of Sydney
Felix Naumann
Felix Naumann Hasso Plattner Institute
Yu Zheng
Yu Zheng Jingdong (China)

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring computer science in the USA opens up a world of academic and career opportunities, especially with the flexibility of online learning. Many students begin by pursuing 2 year online degrees in computer science or related fields, which offer foundational skills and a quicker path to the job market.

For those looking to advance their expertise, there are several most useful masters degrees that are highly valued by employers. A specialized master's can lead to careers in artificial intelligence, cybersecurity, or data science.

Affordability is a key factor for many prospective students. Fortunately, there are options for the cheapest online degrees, making quality education accessible without overwhelming student debt.

Academic requirements can sometimes be a barrier, but students with lower GPAs can still pursue their goals. Many quality programs are available among the online colleges that accept 2.0 gpa, offering support and flexible learning paths for diverse learners.

Best Scientists Citing Sanjay Chawla

Trending Scientists

Recently Published Articles