World's Best Scientists 2026 revealed!
Mussarat Yasmin

Mussarat Yasmin

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Rising Stars
2025
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Computer Science
Pakistan
2026

D-Index & Metrics

Rising Stars

D-Index
41
Citations
5241
World Ranking
624
National Ranking
6

Computer Science

D-Index
42
Citations
6189
World Ranking
8496
National Ranking
10

Research.com Recognitions

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

Overview

Mussarat Yasmin is affiliated with COMSATS University Islamabad in Pakistan. Their research portfolio includes numerous publications primarily in the fields of Computer Science and Medicine. Within Computer Science, their work focuses significantly on areas such as Computer Vision and Pattern Recognition and Artificial Intelligence. In Medicine, their research intersects with Radiology, Nuclear Medicine and Imaging, Plant Science, and Gastroenterology.

Their research topics cover various applications and methodologies, including:

  • Anomaly Detection Techniques and Applications
  • Video Surveillance and Tracking Methods
  • Human Pose and Action Recognition
  • Gastrointestinal Bleeding Diagnosis and Treatment
  • Gastric Cancer Management and Outcomes
  • Radiomics and Machine Learning in Medical Imaging
  • COVID-19 diagnosis using AI

Mussarat Yasmin has contributed to academic literature with several research papers, among which the following are notable:

  • Brain tumor detection and classification using machine learning: a comprehensive survey, 2021, Complex & Intelligent Systems
  • Classification of stomach infections: A paradigm of convolutional neural network along with classical features fusion and selection, 2020, Microscopy Research and Technique
  • Pearson Correlation-Based Feature Selection for Document Classification Using Balanced Training, 2020, Sensors
  • A multilevel paradigm for deep convolutional neural network features selection with an application to human gait recognition, 2020, Expert Systems
  • Entropy-controlled deep features selection framework for grape leaf diseases recognition, 2020, Expert Systems

Their frequent co-authors include:

  • Muhammad Sharif (12 joint publications)
  • Seifedine Kadry (10 joint publications)
  • Jamal Hussain Shah (9 joint publications)
  • Mudassar Raza (8 joint publications)
  • Muhammad Fayyaz (6 joint publications)

Mussarat Yasmin has published consistently in several venues, with multiple contributions to:

  • Expert Systems (3 publications)
  • Mathematics (3 publications)
  • Complex & Intelligent Systems (2 publications)
  • Microscopy Research and Technique (2 publications)
  • IEEE Access (2 publications)

Best Publications

  • A distinctive approach in brain tumor detection and classification using MRI

    Javeria Amin;Muhammad Sharif;Mussarat Yasmin;Steven Lawrence Fernandes

  • Brain tumor detection and classification using machine learning: a comprehensive survey

    Javaria Amin;Javaria Amin;Muhammad Sharif;Anandakumar Haldorai;Mussarat Yasmin

  • Big data analysis for brain tumor detection: Deep convolutional neural networks

    Javeria Amin;Muhammad Sharif;Mussarat Yasmin;Steven Lawrence Fernandes

  • Brain tumor classification based on DWT fusion of MRI sequences using convolutional neural network

    Javaria Amin;Muhammad Sharif;Nadia Gul;Mussarat Yasmin

  • A Survey on Medical Image Segmentation

    Saleha Masood;Muhammad Sharif;Afifa Masood;Mussarat Yasmin

  • A framework for offline signature verification system: Best features selection approach

    Muhammad Sharif;Muhammad Attique Khan;Muhammad Faisal;Mussarat Yasmin

  • An integrated design of particle swarm optimization (PSO) with fusion of features for detection of brain tumor

    Muhammad Sharif;Javaria Amin;Mudassar Raza;Mussarat Yasmin

  • Detection of Brain Tumor based on Features Fusion and Machine Learning

    Javeria Amin;Muhammad Sharif;Mudassar Raza;Mussarat Yasmin

  • A method for the detection and classification of diabetic retinopathy using structural predictors of bright lesions

    Javeria Amin;Muhammad Sharif;Mussarat Yasmin;Hussam Ali

  • Brain tumor segmentation and classification by improved binomial thresholding and multi-features selection

    Muhammad Sharif;Uroosha Tanvir;Ehsan Ullah Munir;Muhammad Attique Khan

  • Deep CNN and geometric features-based gastrointestinal tract diseases detection and classification from wireless capsule endoscopy images

    Muhammad Sharif;Muhammad Attique Khan;Muhammad Rashid;Mussarat Yasmin

  • Classification of stomach infections: A paradigm of convolutional neural network along with classical features fusion and selection

    Abdul Majid;Muhammad Attique Khan;Mussarat Yasmin;Amjad Rehman

  • A New Approach for Brain Tumor Segmentation and Classification Based on Score Level Fusion Using Transfer Learning

    Javeria Amin;Muhammad Sharif;Mussarat Yasmin;Tanzila Saba

  • Pearson Correlation-Based Feature Selection for Document Classification Using Balanced Training.

    Inzamam Mashood Nasir;Muhammad Attique Khan;Mussarat Yasmin;Jamal Hussain Shah

  • AUTOMATED ULCER AND BLEEDING CLASSIFICATION FROM WCE IMAGES USING MULTIPLE FEATURES FUSION AND SELECTION

    Amna Liaqat;Muhammad Attique Khan;Muhammad Attique Khan;Jamal Hussain Shah;Muhammad Sharif

  • A Review on Recent Developments for Detection of Diabetic Retinopathy

    Javeria Amin;Muhammad Sharif;Mussarat Yasmin

  • License number plate recognition system using entropy-based features selection approach with SVM

    Muhammad Attique Khan;Muhammad Sharif;Muhammad Younus Javed;Tallha Akram

  • An implementation of optimized framework for action classification using multilayers neural network on selected fused features

    Muhammad Attique Khan;Muhammad Attique Khan;Tallha Akram;Muhammad Sharif;Muhammad Younus Javed

  • A multilevel paradigm for deep convolutional neural network features selection with an application to human gait recognition

    Habiba Arshad;Muhammad Attique Khan;Muhammad Irfan Sharif;Mussarat Yasmin

  • Appearance based pedestrians’ gender recognition by employing stacked auto encoders in deep learning

    Mudassar Raza;Muhammad Sharif;Mussarat Yasmin;Muhammad Attique Khan

  • Face Recognition: A Survey

    Muhammad Sharif;Farah Naz;Mussarat Yasmin;Muhammad Alyas Shahid

Frequent Co-Authors

Muhammad Sharif
Muhammad Sharif COMSATS University Islamabad
Mudassar Raza
Mudassar Raza Namal College
Steven Lawrence Fernandes
Steven Lawrence Fernandes Karunya University
Muhammad Sharif
Muhammad Sharif King Fahd University of Petroleum and Minerals
Muhammad Attique Khan
Muhammad Attique Khan Prince Mohammad bin Fahd University
Tanzila Saba
Tanzila Saba Prince Sultan University
Amjad Rehman
Amjad Rehman Prince Sultan University
Mubashir Husain Rehmani
Mubashir Husain Rehmani Munster Technological University
Tallha Akram
Tallha Akram Prince Sattam Bin Abdulaziz University
Seifedine Kadry
Seifedine Kadry Lebanese American University

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