**Interested Areas**
- *** Cybersecurity Automation & Threat Intelligence, Attack/Anomaly Detection & Mitigation
- *** AI & Machine Learning Algorithms, LLMs & Rules/Knowledge Mining in Cybersecurity
- *** Data Science Modeling, Behavioral and Business Analytics & Data-Driven Decision Making
- *** Explainable AI (XAI), Trustworthiness in Decision-Making, Human-AI Teaming
- *** Digital Twin, IoT & Smart Cities, Critical Infrastructures & Industrial Applications
- (Outcome Focus: Benefits for end-users, e.g., individuals, community, business, industry or government)
RECENT NEWS & UPDATES
- [Grant/Program - 2024, Australia] Working as an "Investigator" of the Australian Next Generation AI-Graduates Program funded by the Australian Government - Next Generation Policing: Effective and Ethical Use of AI and Data Science in Law Enforcement, Partners: CSIRO, WA Police, ECU, UWA and Curtin University [CSIRO Web]
- [Journal Editorial Board] Joined as a "Regional Editor for Australia" of the Journal "Computing&AI Connect" (Editorial Board Web Link), & an "Editor" of the Journal "Discover Data", Springer Nature. (Editorial Board Web Link)
Dr. Iqbal H. Sarker (Track Record and CV Highlight)
- [Research Fellow (Ongoing) - Australia] Working as a postdoctoral research fellow at Centre for Securing Digital Futures at Edith Cowan University (ECU), Australia (Official Web Page)
- [Ex-Postdoctoral Fellow - Australia] Worked at Cyber Security Cooperative Research Centre (CSCRC) in association with the Security Research Institute at Edith Cowan University, Australia
- [Honorary 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 = 40+, i10-index = 85+, Citations = 13,000+ ] (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) 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)
