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Dr Iqbal H Sarker

Iqbal is a researcher (Research Focused Scholar - Academic Staff) focusing on Data/AI-driven cybersecurity analytics within the Centre for Securing Digital Futures.

Background

Dr. Iqbal H. Sarker received his Ph.D. in Computer Science from Swinburne University of Technology, Melbourne, Australia in 2018. Now he is working as a research fellow at the Centre for Securing Digital Futures, Edith Cowan University, Australia. He also worked with the Cyber Security Cooperative Research Centre (CSCRC), Australia through academia-industry collaboration including CSIRO's Data61. Dr. Sarker is also an Honorary Fellow of the School of Computer Science, University of Technology Sydney (UTS), Australia. His professional and research interests include Cybersecurity, AI/XAI and Machine Learning Algorithms, Data Science and Behavioral Analytics, Trustworthy LLMs, Knowledge and Rule Mining, Digital Twin, Critical Infrastructures, and Real-world Applications.

He has published 100+ Journal and Conference papers in various reputed venues published by Elsevier, Springer Nature, IEEE, ACM, Oxford University Press, etc. Moreover, he is a LEAD author of two research monograph BOOKs titled "Context-Aware Machine Learning and Mobile Data Analytics: Automated Rule-based Services with Intelligent Decision-Making”, Springer Nature, Switzerland, and “AI-Driven Cybersecurity and Threat Intelligence: Cyber Automation, Intelligent Decision-Making and Explainability”, Springer Nature, Switzerland. He has also been selected by Global Talent Independent, Australia, and listed in the world's TOP 2% of most-cited scientists in both categories [Career-long achievement & Single-year], published by Elsevier & Stanford University, USA.

In addition to his research work and publications, Dr. Sarker is involved in several research engagement and leadership roles, such as the Journal editorial board, international conference program committee, student supervision, visiting scholar, and national-international collaboration. He also has some teaching experience relevant to his research areas. He is a member of ACM, IEEE, and the Australian Information Security Association (AISA).

Professional Memberships

  • AISA - Australian Information Security Association (member)
  • ACM - Association for Computing Machinery (member)
  • IEEE - Institute of Electrical and Electronics Engineers (member)

Awards and Recognition

  • 2014 - Swinburne University Postgraduate Research Award, Australia.
  • 2016 – IEEE Award, IEEE International Conference on Data Science and Advanced Analytics (IEEE DSAA), Canada.
  • 2022 - Listed in the world's top 2% of most-cited scientists by Elsevier and Stanford University, USA.

Research Projects

  • Australian Next Generation Artificial Intelligence Graduate Program (NGAIGP) - Next Generation Policing: Effective and Ethical Use of AI and Data Science in Law Enforcement, Partners: CSIRO, WA Police, ECU, UWA, UNE and Curtin University

Research Areas and Interests

  • Cybersecurity Automation and Threat Intelligence
  • Machine Learning & AI/XAI-based Modelling
  • Data Science and Data-Driven Decision Making
  • Behavioural and Predictive Analytics
  • Digital Twin, Smart Cities and Critical Infrastructure Security
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