PeopleofSuperintelligence

Researcher

Iqbal Hasan Sarker

Also known as Iqbal H. Sarker, Iqbal Sarker

Iqbal Hasan Sarker is a computer scientist whose research applies machine learning and data science to user behavior and cybersecurity. He earned a PhD in computer science at Swinburne University of Technology in Melbourne, where a scholarship funded his studies from 2014 to 2018. His overview articles on machine learning and deep learning appeared in SN Computer Science in 2021, and he wrote the Springer book AI-Driven Cybersecurity and Threat Intelligence, published in April 2024. Elsevier and Stanford University list him among the world's top 2% most-cited scientists, and he is a Research Fellow at Edith Cowan University in Perth.

Now at
Edith Cowan University

Timeline

  1. 2014–2018

    A PhD at Swinburne

    He earns a bachelor's and a master's degree in computer science and engineering at Chittagong University of Engineering & Technology in Bangladesh. A fully funded Postgraduate Research Award scholarship supports his PhD in computer science at Swinburne University of Technology in Melbourne from 2014 to 2018, in data science with AI and machine-learning based modeling.

  2. 2016–2018

    Mining smartphone behavior rules

    He receives an IEEE award at the 2016 IEEE International Conference on Data Science and Advanced Analytics in Montreal. In 2018, he and Flora D. Salim write "Mining User Behavioral Rules from Smartphone Data through Association Analysis" for the Pacific-Asia Conference on Knowledge Discovery and Data Mining in Melbourne, a method that extracts a concise set of non-redundant behavioral association rules from individual users' phone data.

  3. 2021

    Machine learning and deep learning overviews

    In March 2021, he publishes "Machine Learning: Algorithms, Real-World Applications and Research Directions" in SN Computer Science, which explains the principles of machine learning techniques and their use in cybersecurity, smart cities, healthcare, e-commerce and agriculture. In August 2021, he follows with "Deep Learning: A Comprehensive Overview on Techniques, Taxonomy, Applications and Research Directions", which sets out a taxonomy of deep learning methods and ten directions for future work. Springer also publishes his book Context-Aware Machine Learning and Mobile Data Analytics in 2021, with chapters written with Alan Colman, Jun Han and Paul Watters.

  4. 2022–2024

    Postdoc at the Cyber Security CRC

    From 2022 to 2024, he works as a postdoctoral research fellow of the Cyber Security Cooperative Research Centre, in association with the Security Research Institute and the Centre for Securing Digital Futures at Edith Cowan University. The work covers data- and AI-driven cybersecurity, in academia-industry collaboration that includes CSIRO Data61.

  5. April 2024

    A book on AI-driven cybersecurity

    Springer publishes his book "AI-Driven Cybersecurity and Threat Intelligence: Cyber Automation, Intelligent Decision-Making and Explainability" in April 2024. It covers machine learning algorithms, data science modeling, generative AI modeling, threat intelligence frameworks and explainable AI models.

  6. 2025

    An Elsevier journal award

    In 2025, he receives an Elsevier Journal Award as a lead author and the ICT Express Best Paper Runner Award, in Portugal.

  7. 2026

    Top 2% most-cited scientists

    In 2026, Elsevier and Stanford University list him among the world's top 2% most-cited scientists in both the career-long and single-year categories. He has appeared on the list since 2021.

  8. Since 2024

    Research Fellow at ECU

    Since 2024, he is a Research Fellow at Edith Cowan University in Perth, where he plans and leads research projects and publications, supervises PhD and master's by research students and builds academia-industry collaboration. In January 2026, he and Helge Janicke, Ahmad Mohsin and Leandros Maglaras publish the perspective "SME-TEAM" in npj Artificial Intelligence, a framework that positions trust and ethics as a driving force for resilience and sustainable innovation in the use of AI and large language models by small and medium-sized enterprises. In 2026, he is also program chair of the IFIP SEC conference in Perth.

Career

  1. Since 2024Edith Cowan UniversityResearch Fellow
  2. 2022–2024Cyber Security Cooperative Research CentrePostdoctoral Research Fellow

Education

  1. 2018Swinburne University of TechnologyPhD
  2. Chittagong University of Engineering & TechnologyBachelor's degree

From the biography.

  1. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other universityIncludes Iqbal Hasan Sarker. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other university. We compare doctorate and 5+ year employment links, career timing and current workplaces for 187 major-prize and 1,111 best-paper winners.
  2. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionIncludes Swinburne University of Technology. We estimate where the people shaping AI studied and where their careers led. Massachusetts Institute of Technology leads with 467 former students, including 291 recorded doctorates.
  3. Google had the most people shaping AI every year from 2014 to 2025Our estimates of which organizations employed the most people shaping AI each year from 1955 to 2025, tracing the shift from university labs to companies.
  4. The United States employs an estimated 48% of people shaping AIWe estimate where the people shaping AI work today, how universities, companies and research institutes split across countries, and how country shares have changed since the 1960s.

Sources and credits

Photo: We have no published photo of Iqbal Hasan Sarker yet. Send us a free-licensed photo.

  1. Dr Iqbal Sarker | AI & Data - Cyber & Business Analytics sarker-research.net. Checked 21 October 2026.
  2. Dr Iqbal Sarker | AI & Data - Cyber & Business Analytics sarker-research.net. Checked 21 October 2026.
  3. [1804.01379] Mining User Behavioral Rules from Smartphone Data through Association Analysis ar5iv.labs.arxiv.org. Checked 21 October 2026.
  4. Machine Learning: Algorithms, Real-World Applications and Research Directions - PMC pmc.ncbi.nlm.nih.gov. Checked 21 October 2026.
  5. Deep Learning: A Comprehensive Overview on Techniques, Taxonomy, Applications and Research Directions - PMC pmc.ncbi.nlm.nih.gov. Checked 21 October 2026.
  6. Discovering User Behavioral Rules Based on Multi-Dimensional Contexts ideas.repec.org. Checked 21 October 2026.
  7. Iqbal H Sarker - Associate Editor | Cureus Journals cureusjournals.com. Checked 21 October 2026.
  8. AI-driven cybersecurity and threat intelligence: Cyber automation, intelligent decision-making and explainability ro.ecu.edu.au. Checked 21 October 2026.
  9. SME-TEAM: leveraging trust and ethics for secure and responsible use of AI and LLMs in SMEs | npj Artificial Intelligence nature.com. Checked 21 October 2026.
  10. Dr Iqbal Sarker | AI & Data - Cyber & Business Analytics sarker-research.net. Checked 21 October 2026.