[DataLAB | AI/XAI & ML : Cybersecurity]

This DataLab is mainly a global-platform for conducting Research in support of the Fourth Industrial Revolution (Industry 4.0 or 4IR), specifically in the broad areas of Data/AI-Driven Cybersecurity and Threat Intelligence, Machine/Deep Learning, Data Science & Behavioral Analytics, Digital Twin, Smart Cities and Critical Infrastructure Security for the purpose of solving real-world problems. We aim to assist individuals and the community in maximizing the value of DATA and lead the world towards a data-driven automated and intelligent future. Our research has been published in TOP-ranked International Journals (Q1) and Conferences (A*/A) with reputed scientific publishers like Elsevier, Springer Nature, IEEE, ACM, Oxford University Press etc., and the team of DataLAB researchers is led by Iqbal H. Sarker, PhD .

We feel that collaboration is one of the most important aspects of data-powered future, hence we would like to concentrate on Academia-Industry collaboration to meet the requirements of on-going technological revolution. Thus, the DataLAB is available to all interested students (Ph.D., Masters, as well as Potential Undergraduates), academics, industry professionals, policymakers, and anyone else with an interest in our focused areas towards intelligent Services & Security. Through the exchange of knowledge and ideas, we are always open to new collaborations Nationally and Internationally.

Overall, "Sarker DataLAB" is open for Interested All and major activites are Research Excellence, Student Supervision & World Wide Collaboration. For any query, please contact Dr. SARKER at [Email: iqbal.sarker.cse@gmail.com (personal) | m.sarker@ecu.edu.au (Australia)]

[People - Students/Researchers/Collaborators]

• Dr. Iqbal H. Sarker [Research Scientist & Adviser]

  [Short Biography] 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 of Cyber Security Cooperative Research Centre (CRC) in association with the Centre for Securing Digital Futures (SDF), Edith Cowan University, Australia through academia-industry collaboration including CSIRO's Data61. 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, Industrial 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, Dr. Sarker is a LEAD author of TWO Springer Books titled "Context-Aware Machine Learning and Mobile Data Analytics" and "AI-driven Cybersecurity and Threat Intelligence". He has also been 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 research work and publications, Dr. Sarker is also involved in a number of research engagement and leadership roles such as Journal editorial, international conference program committee (PC), student supervision, visiting scholar and national/international collaboration. He is a member of ACM, IEEE and Australian Information Security Association (AISA). (ORCID Link)

• [National/International Collaborators]

  Faculty Members, Researchers and Industry Professionals

  • Home / Abroad (Industry-Academia)
  • Australia
  • USA / Canada
  • UAE
  • United Kingdom
  • Others..

• [On Going Supervision by Dr. Sarker]
  • Post-Graduate Students (Masters/PhD)
  • Students in Home and Abroad

[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 with Research Directions in the mentioned areas (Data Science, Machine Learning, Data/AI-Driven Cybersecurity and Threat Intelligence). So you can read your preferred one and find out your Research TOPIC/ Issues/ Questions/ Contributions and enjoy your work!

Research/App Theme

• AI for Critical Infrastructures and Cybersecurity Modeling
  Automation, Intelligent & Transparency
• AI/XAI Methods with Cyber Security Applications
  CyberAI and Threat Intelligence
• Data-Driven Intelligence in Cybersecurity
  Data Science Modeling and Apps
• Machine Learning and Deep Learning Algorithms
  Data-Driven Analytical Model Building
• Explainable AI (XAI) and Digital Twin Technology
  Automation, Intelligence & Trust
• Data-Driven Smart City Modeling and Applications
  Theme of 4th Industrial Revolution
• Machine Learning Algorithms & Context-Aware Applications
  Data-Driven Knowledge/Rule Discovery
• Global Academia-Industry Collaboration
  Research and Applications for Society