Dr. Iqbal H. Sarker
Research Fellow (Cyber & Data/AI), Centre for Securing Digital Futures (CSDF), Edith Cowan University (ECU), Perth, Australia.
Ex-Postdoctoral Fellow, Cyber Security Cooperative Research Centre (CSCRC) & ECU, Australia.
Honorary/Adjunct Fellow, School of Computer Science, University of Technology Sydney (UTS), Sydney, Australia.
Ph.D. (Computer Science), Swinburne University of Technology, Melbourne, Australia.

[Welcome to my page! - Iqbal H. Sarker]
(Major Activities: Research & Innovation | Student Supervision | Academia-Industry Collaboration)

**Interested Areas**

  • *** Cybersecurity Automation, Intelligence and Trustworthiness
  • *** AI/XAI, Machine Learning Algorithms, Large Language Model (LLM)
  • *** Data-Driven, Knowledge/Rule Mining, Human-AI Collaboration
  • *** Digital Twin, Critical Infrastructure Resilience

Dr. Iqbal H. Sarker (Track Record and CV Highlight)

  • [Research Fellow (Ongoing)] Working as a Research Fellow @Centre for Securing Digital Futures (CSDF), Edith Cowan University (ECU), Australia.
    [Key roles -> Leading Research Projects/Publications, Supervising PhD and Master's by Research Students and Academia-Industry Collaboration ] (Official Web Page)
  • [Ex-Postdoctoral Fellow - Australia] Worked at Cyber Security Cooperative Research Centre (CSCRC) [2022-2024] [Academia-Industry Collaboration] in association with the Security Research Institute at Edith Cowan University (ECU) and CSIRO Data61, Australia.
  • [Honorary/Adjunct Fellow and Collaboration] Dr. Sarker is an Honorary Fellow of the School of Computer Science, University of Technology Sydney (UTS), NSW, Sydney, Australia (Research LAB Web)
  • [TOP 2% Research Scientists] In World's TOP 2% of Most-Cited Research Scientists in both categories [Career-long achievement & Single-year], Published by Elsevier & Stanford University, USA (2021, 2022, 2023 & 2024). [Latest Published Date: 16 Sep 2024] (Ref: Elsevier Data Repository, DOI: 10.17632/btchxktzyw.7) (Ref Page)
  • [Research Excellence & Citation Impact] Received Global Impact with an increasing number of Index values and Citations - [ H-index = 45+, i10-index = 90+, Citations = 15,000+ ] (Ref & Updated Info - Google Scholar)
  • [BOOKs Author - Research Monograph - Springer] Lead Book Author: (i) I. H. Sarker et al. "Context-Aware Machine Learning and Mobile Data Analytics: Automated Rule-based Services with Intelligent Decision-Making", and (ii) I. H. Sarker. "AI-Driven Cybersecurity and Threat Intelligence: Cyber Automation, Intelligent Decision-Making and Explainability", Springer Nature, Switzerland. [Single/Lead Authored]
  • [Publications] Published 100+ Research Articles (Including Q1/A* ranked) at different Conferences and Journals with TOP Publishers, e.g., Elsevier, Springer Nature, IEEE, ACM, Oxford University Press. etc. [ 50+ Single/Lead Authored ] (Ref - Publication Page)
  • [IEEE Award] Received International IEEE award, IEEE Int. Conference on Data Science and Advanced Analytics (IEEE DSAA), [CORE RANK: A], Montreal, Canada. (Ref Page)
  • [Collaboration, Engagement and Leadership] On going role - (i) Journal Editor (Springer Nature) (ii) International Conference Committee (Springer/IEEE) (iii) Springer Book Evaluator (iv) Student (PhD & Masters by Research) Supervision (v) Industry Engagement (vi) Visiting Scholar & National-International Collaboration
  • [Teaching Experience and Student SUPERVISION] Conducted Courses - Data Science & Analytics (Postgraduate), AI and Machine Learning (Undergraduate) with Course Development and relevant student thesis SUPERVISION (UG/PG)
  • [PhD & Postdoc - Australia] Ph.D. in Computer Science (Data Science: AI & Machine Learning Algorithms/Modeling), Swinburne University of Technology, Melbourne, Australia; & Post-Doc (AI/Data-Driven Cybersecurity), CSCRC & ECU, Australia.

[Published Springer BOOKs by Sarker et al. (Lead Author)]

[*** This book mianly explores the potentiality of AI/XAI based modeling towards cybersecurity automation, intelligent computing and Human-AI decision-making. This includes machine learning and deep learning methods, data science modeling, advanced analytics, knowledge and rule mining, generative AI, text and language modeling, and so on highlighting diverse real-world applications and research issues *** ] (Springer Link)

[*** This book mainly covers data-driven and machine learning algorithms design with experimental analysis towards transparent and explainable user behavior modeling in the broad area of AI and data science. This includes time-series data clustering, tree-based modeling, knowledge and rule mining, data-driven decision-making, recency mining, etc. highlighting diverse real-world applications and research issues ***] (Springer Link)

[Key Achievements]

  • Springer BOOK Author: 2
  • Publications: 100+
  • Citations: 15,000+
  • H-Index: 45+

ABOUT ME

Dr. Iqbal H. Sarker is a Research Fellow at the Centre for Securing Digital Futures, Edith Cowan University (ECU), Australia. He earned his Ph.D. in Computer Science from Swinburne University of Technology in Melbourne, Australia. He also worked as a Postdoctoral Fellow at the Cyber Security Cooperative Research Centre (CSCRC), through an academia-industry collaboration including CSIRO Data61, Australia. He is also an Honorary Fellow at the School of Computer Science, University of Technology Sydney (UTS), Australia. Dr. Sarker's research focuses on AI and Data-Driven technologies to tackle real-world Cybersecurity challenges. He has authored 100+ research papers in top-tier journals and conferences published by renowned scientific publishers such as Elsevier, Springer Nature, IEEE, ACM, and Oxford University Press. He is also the lead author of two Springer books: Context-Aware Machine Learning and Mobile Data Analytics and AI-Driven Cybersecurity and Threat Intelligence. In recognition of his contributions, Dr. Sarker has been listed among the world's top 2% most-cited scientists, as published by Elsevier and Stanford University, USA.

Contact Email:
iqbal.sarker.cse@gmail.com [Personal]
m.sarker@ecu.edu.au [Official]

Connected With

Research/Application Theme

[ Future Generation "Cyber + Data + AI" Research Community ]