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

D-Index & Metrics

Computer Science

D-Index
83
Citations
21137
World Ranking
914
National Ranking
5

Research.com Recognitions

  • 2026 - Research.com Computer Science in Saudi Arabia Leader Award
  • 2025 - Research.com Computer Science in Saudi Arabia Leader Award
  • 2023 - Research.com Computer Science in Saudi Arabia Leader Award
  • 2022 - Research.com Computer Science in Saudi Arabia Leader Award

Overview

Tanzila Saba is affiliated with Prince Sultan University in Saudi Arabia and has a primary academic focus in computer science, with over 320 publications in this field. Their research spans significant subfields including computer vision and pattern recognition, artificial intelligence, computer networks and communications, radiology, nuclear medicine and imaging, and information systems.

Their main research topics cover a diverse range of domains such as:

  • IoT and Edge/Fog Computing
  • AI in cancer detection
  • COVID-19 diagnosis using AI
  • Brain Tumor Detection and Classification
  • Digital Imaging for Blood Diseases
  • Anomaly Detection Techniques and Applications
  • Advanced Neural Network Applications

Among recent papers authored by Tanzila Saba are:

  • Anomaly-based intrusion detection system for IoT networks through deep learning model (2022), published in Computers & Electrical Engineering
  • Recent advancement in cancer detection using machine learning: Systematic survey of decades, comparisons and challenges (2020), published in Journal of Infection and Public Health

Frequent collaborators include Amjad Rehman, Khalid Haseeb, Saeed Ali Bahaj, Faten S. Alamri, and Tariq Mahmood.

The scientist has published extensively in various venues, with significant numbers of publications appearing in:

  • IEEE Access
  • Microscopy Research and Technique
  • Computers, materials & continua
  • Multimedia Tools and Applications
  • IT Professional

Tanzila Saba has also contributed to book publications, notably with Springer International Publishing and Auerbach Publications eBooks, including works such as Artificial Intelligence, Data Science and Applications (2024) and Explainable Artificial Intelligence in Medical Imaging (2025).

Best Publications

  • Anomaly-based intrusion detection system for IoT networks through deep learning model

    Unknown

  • Brain tumor detection using fusion of hand crafted and deep learning features

    Tanzila Saba;Ahmed Sameh Mohamed;Mohammed Ahmed El-Affendi;Javeria Amin;Javeria Amin

  • A Deep Learning Approach for Automated Diagnosis and Multi-Class Classification of Alzheimer’s Disease Stages Using Resting-State fMRI and Residual Neural Networks

    Farheen Ramzan;Muhammad Usman Ghani Khan;Asim Rehmat;Sajid Iqbal;Sajid Iqbal

  • Medical Image Segmentation Methods, Algorithms, and Applications

    Alireza Norouzi;Mohd Shafry Mohd Rahim;Ayman Altameem;Tanzila Saba

  • Classification of acute lymphoblastic leukemia using deep learning

    Amjad Rehman;Naveed Abbas;Tanzila Saba;Syed Ijaz ur Rahman

  • Microscopic brain tumor detection and classification using 3D CNN and feature selection architecture

    Amjad Rehman;Muhammad Attique Khan;Tanzila Saba;Zahid Mehmood

  • Brain tumor detection using statistical and machine learning method.

    Javaria Amin;Muhammad Sharif;Mudassar Raza;Tanzila Saba

  • Brain tumor segmentation in multi-spectral MRI using convolutional neural networks (CNN)

    Sajid Iqbal;M. Usman Ghani;Tanzila Saba;Amjad Rehman

  • Recent advancement in cancer detection using machine learning: Systematic survey of decades, comparisons and challenges.

    Tanzila Saba

  • Region Extraction and Classification of Skin Cancer: A Heterogeneous framework of Deep CNN Features Fusion and Reduction

    Tanzila Saba;Muhammad Attique Khan;Amjad Rehman;Souad Larabi Marie-Sainte

  • Skin cancer detection from dermoscopic images using deep learning and fuzzy k-means clustering

    Marriam Nawaz;Zahid Mehmood;Tahira Nazir;Rizwan Ali Naqvi

  • Human action recognition using fusion of multiview and deep features: an application to video surveillance

    Muhammad Attique Khan;Kashif Javed;Sajid Ali Khan;Tanzila Saba

  • Energy Efficient Multipath Routing Protocol for Mobile Ad-Hoc Network Using the Fitness Function

    Aqeel Taha;Raed Alsaqour;Mueen Uddin;Maha Abdelhaq

  • Brain tumor detection and multi-classification using advanced deep learning techniques

    Tariq Sadad;Amjad Rehman;Asim Munir;Tanzila Saba

  • CCDF: Automatic system for segmentation and recognition of fruit crops diseases based on correlation coefficient and deep CNN features

    Muhammad Attique Khan;Tallha Akram;Muhammad Sharif;Muhammad Awais

  • Smart cities: the role of Internet of Things and machine learning in realizing a data-centric smart environment

    Unknown

  • Brain tumor detection and classification: A framework of marker-based watershed algorithm and multilevel priority features selection.

    Muhammad A. Khan;Ikram U. Lali;Amjad Rehman;Mubashar Ishaq

  • Brain tumor detection: a long short-term memory (LSTM)-based learning model

    Javaria Amin;Muhammad Sharif;Mudassar Raza;Tanzila Saba

  • Current Techniques for Diabetes Prediction: Review and Case Study

    Souad Larabi-Marie-Sainte;Linah Aburahmah;Rana Almohaini;Tanzila Saba

  • Deep Learning for Intrusion Detection and Security of Internet of Things (IoT): Current Analysis, Challenges, and Possible Solutions

    Unknown

  • An improved strategy for skin lesion detection and classification using uniform segmentation and feature selection based approach.

    Muhammad Nasir;Muhammad Attique Khan;Muhammad Sharif;Ikram Ullah Lali

  • Multi-Model Deep Neural Network based Features Extraction and Optimal Selection Approach for Skin Lesion Classification

    Muhammad Attique Khan;Muhammad Younus Javed;Muhammad Sharif;Tanzila Saba

  • Retraction Note: Implications of E-learning systems and self-efficiency on students outcomes: a model approach

    Tanzila Saba

  • Detection of copy-move image forgery based on discrete cosine transform

    Mohammed Hazim Alkawaz;Ghazali Sulong;Tanzila Saba;Amjad Rehman

Frequent Co-Authors

Amjad Rehman
Amjad Rehman Prince Sultan University
Muhammad Attique Khan
Muhammad Attique Khan Prince Mohammad bin Fahd University
Muhammad Sharif
Muhammad Sharif King Fahd University of Petroleum and Minerals
Tallha Akram
Tallha Akram Prince Sattam Bin Abdulaziz University
Nadeem Javaid
Nadeem Javaid National Yunlin University of Science and Technology
Mudassar Raza
Mudassar Raza Namal College
Mussarat Yasmin
Mussarat Yasmin University of Gujrat
Seifedine Kadry
Seifedine Kadry Lebanese American University
Steven Lawrence Fernandes
Steven Lawrence Fernandes Karunya University
Gunasekaran Manogaran
Gunasekaran Manogaran University of California, Davis

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 can open doors to many educational and career pathways, especially with the rise of flexible online programs. If you are wondering what masters program should I do to advance your tech career, it’s important to consider demand, specialization, and long-term value for your goals.

For those starting out or seeking a foundational credential, an online associate degree can provide a solid introduction to computer science and related fields, often in just two years. These programs appeal to those balancing work, family, and study.

Concerned about costs? Numerous affordable online degree programs make it possible to study computer science without excessive financial burden. Many reputable colleges offer competitive rates while maintaining high academic standards.

If your previous grades are a concern, there are universities for low gpa that offer online computer science degrees. These institutions give you a second chance to succeed and build a rewarding career in the tech industry.

Best Scientists Citing Tanzila Saba

Trending Scientists