World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
14819
World Ranking
8588
National Ranking
263

Overview

Iqbal H. Sarker is affiliated with Edith Cowan University in Australia and works primarily in the field of Computer Science. Their research spans several subfields, including Artificial Intelligence, Information Systems, Computer Networks and Communications, Signal Processing, as well as Sociology and Political Science.

The scientist's work covers a variety of research topics, notably:

  • Network Security and Intrusion Detection
  • Advanced Malware Detection Techniques
  • Anomaly Detection Techniques and Applications
  • Misinformation and Its Impacts
  • Sentiment Analysis and Opinion Mining
  • Spam and Phishing Detection
  • Topic Modeling

Among recent publications are:

  • Machine Learning: Algorithms, Real-World Applications and Research Directions, 2021, SN Computer Science
  • Deep Learning: A Comprehensive Overview on Techniques, Taxonomy, Applications and Research Directions, 2021, SN Computer Science
  • AI-Based Modeling: Techniques, Applications and Research Issues Towards Automation, Intelligent and Smart Systems, 2022, SN Computer Science
  • Cybersecurity Data Science: An Overview from Machine Learning Perspective, 2020, Journal Of Big Data
  • AI-Driven Cybersecurity: An Overview, Security Intelligence Modeling and Research Directions, 2021, SN Computer Science

The scientist frequently publishes in venues such as:

  • arXiv (Cornell University)
  • Preprints.org
  • SN Computer Science
  • IEEE Access
  • Annals of Data Science

Iqbal H. Sarker often collaborates with a group of recurring co-authors, including Mohammed Moshiul Hoque, Helge Janicke, Md Musfique Anwar, Muhammad Nazrul Islam, and Λέανδρος Μαγλαράς.

Best Publications

  • Machine Learning: Algorithms, Real-World Applications and Research Directions

    Iqbal H. Sarker

  • Deep Learning: A Comprehensive Overview on Techniques, Taxonomy, Applications and Research Directions.

    Iqbal H. Sarker;Iqbal H. Sarker

  • Cybersecurity data science: an overview from machine learning perspective

    Iqbal H. Sarker;Iqbal H. Sarker;A. S. M. Kayes;Shahriar Badsha;Hamed AlQahtani

  • Data Science and Analytics: An Overview from Data-Driven Smart Computing, Decision-Making and Applications Perspective

    Iqbal H. Sarker;Iqbal H. Sarker

  • AI-Driven Cybersecurity: An Overview, Security Intelligence Modeling and Research Directions

    Iqbal H. Sarker;Iqbal H. Sarker;Hasan Furhad;Raza Nowrozy

  • IntruDTree: A Machine Learning Based Cyber Security Intrusion Detection Model

    Iqbal H. Sarker;Yoosef B. Abushark;Fawaz Alsolami;Asif Irshad Khan

  • Internet of Things (IoT) Security Intelligence: A Comprehensive Overview, Machine Learning Solutions and Research Directions

    Unknown

  • Effectiveness analysis of machine learning classification models for predicting personalized context-aware smartphone usage

    Iqbal H. Sarker;Iqbal H. Sarker;A. S. M. Kayes;Paul A. Watters

  • Deep Cybersecurity: A Comprehensive Overview from Neural Network and Deep Learning Perspective

    Iqbal H. Sarker;Iqbal H. Sarker

  • BehavDT: A Behavioral Decision Tree Learning to Build User-Centric Context-Aware Predictive Model

    Iqbal H. Sarker;Iqbal H. Sarker;Alan Colman;Jun Han;Asif Irshad Khan

  • Machine Learning for Intelligent Data Analysis and Automation in Cybersecurity: Current and Future Prospects

    Unknown

  • Mobile Data Science and Intelligent Apps: Concepts, AI-Based Modeling and Research Directions

    Iqbal H. Sarker;Mohammed Moshiul Hoque;Kafil Uddin;Tawfeeq Alsanoosy

  • Cyber intrusion detection using machine learning classification techniques

    Hamed Alqahtani;Iqbal H. Sarker;Asra Kalim;Syed Md. Minhaz Hossain;Syed Md. Minhaz Hossain

  • AquaVision: Automating the detection of waste in water bodies using deep transfer learning

    Harsh Panwar;P.K. Gupta;Mohammad Khubeb Siddiqui;Ruben Morales-Menendez

  • Performance Analysis of Machine Learning Techniques to Predict Diabetes Mellitus

    Md. Faisal Faruque;Asaduzzaman;Iqbal H. Sarker

  • CyberLearning: Effectiveness analysis of machine learning security modeling to detect cyber-anomalies and multi-attacks

    Iqbal H. Sarker;Iqbal H. Sarker

  • Context-aware rule learning from smartphone data: survey, challenges and future directions

    Iqbal H. Sarker;Iqbal H. Sarker

  • A machine learning based robust prediction model for real-life mobile phone data

    Iqbal H. Sarker;Iqbal H. Sarker

  • A Survey of Context-Aware Access Control Mechanisms for Cloud and Fog Networks: Taxonomy and Open Research Issues.

    A. S. M. Kayes;Rudri Kalaria;Iqbal H. Sarker;Md. Saiful Islam

  • A Systematic Review on the Use of AI and ML for Fighting the COVID-19 Pandemic

    Muhammad Nazrul Islam;Toki Tahmid Inan;Suzzana Rafi;Syeda Sabrina Akter

  • Individualized Time-Series Segmentation for Mining Mobile Phone User Behavior

    Iqbal H. Sarker;Alan Colman;Muhammad Ashad Kabir;Jun Han

  • AI-Driven Cybersecurity: An Overview, Security Intelligence Modeling and Research Directions

    Iqbal H. Sarker

Frequent Co-Authors

Jun Han
Jun Han Swinburne University of Technology
Paul A. Watters
Paul A. Watters La Trobe University
Khaled Salah
Khaled Salah Khalifa University
S. M. Riazul Islam
S. M. Riazul Islam University of Aberdeen
A. K. M. Najmul Islam
A. K. M. Najmul Islam Lappeenranta University of Technology
Pietro Liò
Pietro Liò University of Cambridge
Jun Han
Jun Han Swinburne University of Technology
Mohammad Hammoudeh
Mohammad Hammoudeh King Fahd University of Petroleum and Minerals

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