Ms Chadni Islam
Postdoctoral Research Fellow
School of Computer and Mathematical Sciences
Faculty of Sciences, Engineering and Technology
I am a Postdoctoral Research Fellow at the Centre for Research on Engineering Software Technologies (CREST) research group, School of Computer Science, University of Adelaide, Australia. I am passionate about research, eager to learn new things and explore the area of software engineering, cybersecurity, and artificial intelligence. I am interested in applying natural language processing and machine learning in software engineering and cybersecurity. I completed my Ph.D. from the same research group in collaboration with CSIRO's Data61 Distributed System Security Group, Australia, in December 2020. In my Ph.D., I particularly worked in the security orchestration and automation domain, which is focused on providing architecture support for security orchestration and automation systems using advanced software engineering technologies. Security orchestration and automation aim at integrating different types of multivendor security software used by security operation centers to automate and accelerate the security incident response process. The research has leveraged existing software engineering, analytical reasoning, natural language processing, machine learning tools, and techniques to develop an intelligent self-adaptive security orchestration and automation platform.
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Appointments
Date Position Institution name 2021 - ongoing Postdoctoral Researcher University of Adelaide 2016 - 2017 Lecturer Khulna University 2015 - 2016 Lecturer Eastern University -
Language Competencies
Language Competency Bengali Can read, write, speak and understand spoken English Can read, write, speak, understand spoken and peer review -
Education
Date Institution name Country Title 2017 - 2020 University of Adelaide Australia PhD 2013 - 2015 University of Dhaka Bangladesh Masters of Computer Science and Engineering -
Research Interests
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Journals
Year Citation 2023 Islam, C., Prokhorenko, V., & Babar, M. A. (2023). Runtime software patching: Taxonomy, survey and future directions. Journal of Systems and Software, 200, 111652.
2022 Islam, C., Babar, M. A., Croft, R., & Janicke, H. (2022). SmartValidator: A framework for automatic identification and classification of cyber threat data. Journal of Network and Computer Applications, 202, 20 pages.
Scopus4 WoS32019 Islam, C., Babar, M. A., & Nepal, S. (2019). A multi-vocal review of security orchestration. ACM Computing Surveys, 52(2), 45 pages.
Scopus35 WoS27- Sworna, Z. T., Islam, C., & Babar, M. A. (n.d.). APIRO: A Framework for Automated Security Tools API Recommendation. -
Conference Papers
Year Citation 2020 Islam, C., Babar, M. A., & Nepal, S. (2020). Architecture-centric support for integrating security tools in a security orchestration platform. In Proceedings of the 14th European Conference on Software Architecture (ECSA 2020), as published in Lecture Notes in Computer Science Vol. 12292 (pp. 165-181). Cham, Switzerland: Springer.
Scopus5 WoS22019 Islam, C., Babar, M. A., & Nepal, S. (2019). Automated Interpretation and Integration of Security Tools Using Semantic Knowledge. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 11483 LNCS (pp. 513-528). Switzerland: Springer.
Scopus4 WoS42019 Islam, C., Babar, M. A., & Nepal, S. (2019). An ontology-driven approach to automating the process of integrating security software systems. In Proceedings - 2019 IEEE/ACM International Conference on Software and System Processes, ICSSP 2019 (pp. 54-63). online: IEEE.
Scopus7 WoS1 -
Theses
Year Citation 2021 Islam, C. (2021). Architecture-centric support for security orchestration and automation.. (PhD Thesis).
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Current Higher Degree by Research Supervision (University of Adelaide)
Date Role Research Topic Program Degree Type Student Load Student Name 2022 Co-Supervisor Named Entity Recognition and Relation Extraction for Cybersecurity domain using Neural Networks Doctor of Philosophy Doctorate Full Time Miss Seyedehzahra Mosavi
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External Profiles
