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Computer Science
Pakistan
2026

D-Index & Metrics

Computer Science

D-Index
55
Citations
12948
World Ranking
4291
National Ranking
5

Research.com Recognitions

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

Overview

Faisal Shafait is affiliated with the National University of Sciences and Technology in Pakistan. Their research spans primarily across the fields of Computer Science and Environmental Science, with focused work in subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Ecology, and Human-Computer Interaction.

The scientist's research topics cover a variety of areas including Handwritten Text Recognition Techniques, Natural Language Processing Techniques, Water Quality Monitoring Technologies, Topic Modeling, Hand Gesture Recognition Systems, Adversarial Robustness in Machine Learning, and Image Processing and 3D Reconstruction.

Faisal Shafait has contributed to multiple research publications, some of the recent significant papers include:

  • Fish detection and species classification in underwater environments using deep learning with temporal information (2020) published in Ecological Informatics
  • A Multi-Step Approach for Optically Active and Inactive Water Quality Parameter Estimation Using Deep Learning and Remote Sensing (2022) published in Water
  • Analyzing LDA and NMF Topic Models for Urdu Tweets via Automatic Labeling (2021) published in IEEE Access
  • Adaptive Binarization of Unconstrained Hand-Held Camera-Captured Document Images (2020) published in Zenodo (CERN European Organization for Nuclear Research)
  • UCL: Unsupervised Curriculum Learning for water body classification from remote sensing imagery (2021) published in International Journal of Applied Earth Observation and Geoinformation

Frequent publication venues for Faisal Shafait include:

  • IEEE Access
  • Ecological Informatics
  • International Journal on Document Analysis and Recognition (IJDAR)
  • arXiv (Cornell University)
  • Frontiers in Neuroscience

Collaborations have been part of their research profile, with frequent co-authors being:

  • Adnan Ul-Hasan
  • Muhammad Imran Malik
  • Adrian Ulges
  • Sheraz Ahmed
  • Arooba Maqsood

Best Publications

  • ICDAR 2015 competition on Robust Reading

    Dimosthenis Karatzas;Lluis Gomez-Bigorda;Anguelos Nicolaou;Suman Ghosh

  • ICDAR 2013 Robust Reading Competition

    Dimosthenis Karatzas;Faisal Shafait;Seiichi Uchida;Masakazu Iwamura

  • ICDAR 2011 Robust Reading Competition Challenge 2: Reading Text in Scene Images

    Asif Shahab;Faisal Shafait;Andreas Dengel

  • Efficient implementation of local adaptive thresholding techniques using integral images

    Faisal Shafait;Daniel Keysers;Thomas M. Breuel

  • Sparse Spatio-spectral Representation for Hyperspectral Image Super-resolution

    Naveed Akhtar;Faisal Shafait;Ajmal S. Mian

  • Bayesian sparse representation for hyperspectral image super resolution

    Naveed Akhtar;Faisal Shafait;Ajmal Mian

  • High-Performance OCR for Printed English and Fraktur Using LSTM Networks

    Thomas M. Breuel;Adnan Ul-Hasan;Mayce Ali Al-Azawi;Faisal Shafait

  • Fish detection and species classification in underwater environments using deep learning with temporal information

    Ahsan Jalal;Ahmad Salman;Ajmal Mian;Mark Shortis

  • Performance Evaluation and Benchmarking of Six-Page Segmentation Algorithms

    F. Shafait;D. Keysers;T.M. Breuel

  • Automatic fish species classification in underwater videos: exploiting pre-trained deep neural network models to compensate for limited labelled data

    Shoaib Ahmed Siddiqui;Ahmad Salman;Muhammad Imran Malik;Faisal Shafait

  • Fish species classification in unconstrained underwater environments based on deep learning

    Ahmad Salman;Ahsan Jalal;Faisal Shafait;Ajmal Mian

  • Automatic fish detection in underwater videos by a deep neural network-based hybrid motion learning system

    Ahmad Salman;Shoaib Ahmad Siddiqui;Faisal Shafait;Ajmal Mian

  • Two-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning

    Muhammad Naseer Bajwa;Muhammad Naseer Bajwa;Muhammad Imran Malik;Shoaib Ahmed Siddiqui;Shoaib Ahmed Siddiqui;Andreas Dengel;Andreas Dengel

  • Table Detection Using Deep Learning

    Azka Gilani;Shah Rukh Qasim;Imran Malik;Faisal Shafait

  • Meta-learning for evolutionary parameter optimization of classifiers

    Matthias Reif;Faisal Shafait;Andreas Dengel

  • Automatic classifier selection for non-experts

    Matthias Reif;Faisal Shafait;Markus Goldstein;Thomas Breuel

  • Rethinking Table Recognition using Graph Neural Networks

    Shah Rukh Qasim;Hassan Mahmood;Faisal Shafait

  • Table detection in heterogeneous documents

    Faisal Shafait;Ray Smith

  • Offline Printed Urdu Nastaleeq Script Recognition with Bidirectional LSTM Networks

    Adnan Ul-Hasan;Saad Bin Ahmed;Faisal Rashid;Faisal Shafait

  • Urdu Nastaliq recognition using convolutionalrecursive deep learning

    Saeeda Naz;Arif I. Umar;Riaz Ahmad;Imran Siddiqi

Frequent Co-Authors

Thomas M. Breuel
Thomas M. Breuel Nvidia (United States)
Ajmal Mian
Ajmal Mian University of Western Australia
Andreas Dengel
Andreas Dengel German Research Centre for Artificial Intelligence
Daniel Keysers
Daniel Keysers Google (United States)
Mark R. Shortis
Mark R. Shortis RMIT University
Paul Lukowicz
Paul Lukowicz German Research Centre for Artificial Intelligence
Bernard Ghanem
Bernard Ghanem King Abdullah University of Science and Technology
Didier Stricker
Didier Stricker German Research Centre for Artificial Intelligence
Andrew J. O. Whitehouse
Andrew J. O. Whitehouse Telethon Kids Institute
Murray T. Maybery
Murray T. Maybery University of Western Australia

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