**Interested Areas**
- *** Data & AI >> Responsible AI, ML Algorithms, Data-Driven, Knowledge/Rule Mining, LLMs, Agentic AI
- *** Cybersecurity >> Analytics & Automation, Ethics & Trust, Digital Twins, Human-AI Teaming
- *** SMEs >> Business Analytics & Transformation, AI/Data-Driven Decision-Making
Dr. Iqbal H. Sarker (Profile Summary 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 Global Academia-Industry Collaboration ] (Official Web Page) - [Research Outputs & Excellence] with a Track Record of 100+ peer-reviewed publications, including Q1-ranked journals and top-tier conferences (A*/A); [ H-index = 50+, i10-index = 100+, Citations = 20,000+ ] (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]
- [Global Impact] ranked by ScholarGPS (2025) and listed among the world's top 2% most-cited scientists by Elsevier and Stanford University, USA (2021~Now). [Latest Published Date: 19 Sep 2025] (Ref: Elsevier Data Repository, DOI: 10.17632/btchxktzyw.8) (Ref Page)
- [International Award] Received IEEE Award at the IEEE International Conference on Data Science and Advanced Analytics (IEEE DSAA 2016), Montreal, Canada, and ELSEVIER Journal Award, 2025 ICT Express Best Paper Runner Award, Portugal. (Ref Page)
- [ECU Featured News] recognized my growing research excellence and global impact as a part of ECU community (Published date: 06 Nov 2025) (Featured News 2025 by ECU, Australia)
- [Research Grants and Industry Engagement] including Cybersecurity Cooperative Research Centre (CSCRC), CSIRO Data61, WA Police and IMNIS (Industry Mentoring Network in STEM), Australian Academy of Technological Sciences & Engineering (ATSE).
- [Teaching Experience and Student Supervision] Academic Experience with Teaching, Program coordinator, Course Curriculum and Materials development and successful supervision of both undergraduate and postgraduate (Ph.D. and Master by Research) students.
- [Leadership in Global Research Communities & National-International Collaboration] through Journal Editorial roles, Book/Grant proposal (International) evaluation, and program committee roles for reputed international conferences and workshops, with a global academia-industry network spanning Australia, UK, USA, UAE, India, Bangladesh and others.
- [Adjunct Fellow] Dr. Sarker is an Honorary/Adjunct Fellow of the DigiSAS Lab, School of Computer Science, University of Technology Sydney (UTS), NSW, Sydney, Australia (Research LAB Web)
- [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)




