[DataLAB | AI/XAI & ML : Cybersecurity]

Welcome to this global research platform, specifically designed to support potential students and young researchers exploring cutting-edge research in the broad field of Cybersecurity, Artificial Intelligence (AI) and Data-Driven Technologies . As AI/Data-driven technologies continue to transform the cybersecurity landscape, it is crucial to understand how these advanced tools function and ensure their decisions are transparent, explainable, and trustworthy.

The goal is to provide a collaborative space where students and young researchers can explore key concepts of AI/ML algorithms, data-driven modeling, current trends, experiments with real-world cybersecurity datasets, and develop innovative solutions. To achive these goals, this platform supports relevant resources as well as research guidance (when needed), to help bridge the gap between theory and practical applications.

[People - Students/Researchers/Collaborators - National/International]

• Dr. Iqbal H. Sarker [Adviser]

  [Biography] is a Research Fellow at the Centre for Securing Digital Futures, Edith Cowan University (ECU), Australia. He obtained his Ph.D. in Computer Science from Swinburne University of Technology, Melbourne, 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, Large Language Model (LLM), Data-Driven, Knowledge/Rule Mining, Digital Twin, Critical Infrastructure Resilience.
  
  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).
  (ORCID Link)

• [National/International Collaborators]
• [Students/Young Researchers]
• [Academic-Industry Professionals]

[Some Helpful Resources for the Students/Young Researchers - Published by Sarker et al.

The publications listed below may assist Students to select their Research/Thesis work. So you can read your preferred one and find out your interested Research TOPIC/ Issues/ Questions/ Contributions and enjoy your work!