Dr Bazlur Rashid
Senior Lecturer
Adelaide University Online and Learning Futures
Academic
Currently, I am a Senior Lecturer in Cyber Security and Data Science at Adelaide University Online, with extensive experience in teaching, research and academic leadership across Australian (7+ years) and international (8+ years) higher education, complemented by approximately five years of industry experience. I completed my PhD in Computing and Security and have substantial experience in postgraduate program leadership, curriculum and assessment development, academic administration, student engagement, research, scholarship and HDR supervision. My teaching spans undergraduate and postgraduate programs in Cyber Security, Data Science, Information Technology and Computer Science, with a focus on designing high-quality, practice-oriented learning experiences that integrate real-world problem-solving, collaborative learning and emerging technologies, particularly in online learning environments. My research focuses on Cyber Security, particularly data-driven approaches to anomaly detection and feature engineering for protecting critical infrastructure. More broadly, I explore the intersection of machine learning, artificial intelligence and security analytics to develop robust and scalable approaches for detecting emerging threats and strengthening the security and resilience of critical infrastructure systems.
| Date | Institution name | Country | Title |
|---|---|---|---|
| Edith Cowan University | Australia | PhD |
| Year | Citation |
|---|---|
| 2024 | Ahmed, M., & Rashid, A. N. M. B. (2024). EDSUCh: A robust ensemble data summarization method for effective medical diagnosis. Digital Communications and Networks, 10(1), 182-189. Scopus4 WoS2 |
| 2023 | Ahmed, M., Akhter, A. F. M. S., Rashid, A. N. M. B., & Pathan, A. -S. K. (2023). A dependable and secure consensus algorithm for blockchain assisted microservice architecture. Computers and Electrical Engineering, 109, 108762. Scopus8 WoS3 |
| 2022 | Rashid, A. N. M. B., Ahmed, M., Sikos, L. F., & Haskell-Dowland, P. (2022). Anomaly Detection in Cybersecurity Datasets via Cooperative Co-evolution-based Feature Selection. ACM Transactions on Management Information Systems, 13(3), 1-39. Scopus49 WoS24 |
| 2021 | Rashid, A. N. M. B., Ahmed, M., & Pathan, A. -S. K. (2021). Infrequent Pattern Detection for Reliable Network Traffic Analysis Using Robust Evolutionary Computation. Sensors, 21(9), 3005. Scopus9 WoS5 |
| 2021 | Rashid, A. N. M. B., & Choudhury, T. (2021). Cooperative co-evolution and mapreduce: A review and new insights for large-scale optimisation. International Journal of Information Technology Project Management, 12(1), 29-62. Scopus10 WoS10 |
| 2020 | Rashid, A. N. M. B., Ahmed, M., Sikos, L. F., & Haskell-Dowland, P. (2020). Cooperative co-evolution for feature selection in Big Data with random feature grouping. Journal of Big Data, 7(1), 42 pages. Scopus35 WoS25 |
| 2020 | Rashid, A. N. M. B., Ahmed, M., Sikos, L. F., & Haskell-Dowland, P. (2020). A Novel Penalty-Based Wrapper Objective Function for Feature Selection in Big Data Using Cooperative Co-Evolution. IEEE Access, 8, 150113-150129. Scopus19 WoS13 |
| 2020 | Rashid, A. N. M. B., Ahmed, M., Sikos, L. F., & Haskell‑Dowland, P. (2020). Correction to: Cooperative co‑evolution for feature selection in Big Data with random feature grouping. Journal of Big Data, 7(1), 1 page. |
| 2019 | N M Bazlur Rashid, A., & Choudhury, T. (2019). Knowledge management overview of feature selection problem in high-dimensional financial data: cooperative co-evolution and MapReduce perspectives. Problems and Perspectives in Management, 17(4), 340-359. |
| 2017 | Rashid, A. N. M. B. (2017). Access methods for Big Data: current status and future directions. Eai Endorsed Transactions on Scalable Information Systems, 4(15), 1-14. Scopus9 WoS9 |
| Year | Citation |
|---|---|
| 2023 | Mondol, A., Sultana, J., Ahmed, M., & Rashid, A. N. M. B. (2023). Misinformation Detection in Cyber Smart Cities. In Advanced Sciences and Technologies for Security Applications (pp. 105-120). Springer International Publishing. DOI |
| 2023 | Rashid, A. N. M. B., Ahmed, M., & Ullah, A. B. (2023). Cyber Safe Data Repositories. In Advanced Sciences and Technologies for Security Applications (pp. 87-103). Springer International Publishing. DOI Scopus1 |
| 2022 | Rashid, A. N. M. B., Ahmed, M., & Islam, S. R. (2022). A Supervised Rare Anomaly Detection Technique via Cooperative Co-evolution-Based Feature Selection Using Benchmark UNSW_NB15 Dataset. In G. Wang, K. K. R. Choo, R. K. L. Ko, Y. Xu, & B. Crispo (Eds.), Communications in Computer and Information Science (Vol. 1557 CCIS, pp. 279-291). SPRINGER INTERNATIONAL PUBLISHING AG. DOI Scopus1 WoS1 |
| 2011 | Rashid, A. N. M. B., Islam, M. S., & Hoque, A. S. M. L. (2011). Dynamic materialized view selection approach for improving query performance. In V. V. Das, J. Stephen, & Y. Chaba (Eds.), Communications in Computer and Information Science (Vol. 142 CCIS, pp. 202-211). SPRINGER-VERLAG BERLIN. DOI Scopus8 WoS3 |
| Year | Citation |
|---|---|
| 2022 | Ahmed, M., Akhter, A. F. M. S., Rashid, A. N. M. B., Fahmideh, M., Pathan, A. -S. K., & Anwar, A. (2022). Blockchain Meets Secured Microservice Architecture: A Trustworthy Consensus Algorithm. In J. Rodrigues, & J. L. Mauri (Eds.), WINSYS : PROCEEDINGS OF THE 19TH INTERNATIONAL CONFERENCE ON WIRELESS NETWORKS AND MOBILE SYSTEMS (pp. 53-60). PORTUGAL, Lisbon: SCITEPRESS. DOI WoS1 |
| 2010 | Rashid, A. N. M. B., & Islam, M. S. (2010). An Incremental View Materialization Approach in ORDBMS. In 2010 International Conference on Recent Trends in Information, Telecommunication and Computing (pp. 105-109). IEEE. DOI |
Postgradudate Capstone Research Supervision (Current)
- INFO6015 Cyber Security Research Project A
- INFO6016 Cyber Security Research Project B
- INFO6018 Data Science Research Project A
- INFO6019 Data Science Research Project B
Courses I Teach
- COMP6063 Research Methods for Cyber Security
- COMP5062 Research Methods
- COMP5089 Business Data and Cyber Security
- COMP6031 Human-Centred Security
- COMP5090 Information Risks, Threats and Controls
- COMP5060 Advanced Cyber Security: Techniques and Concepts
- COMP6029 Human and Ethical Factors in Computer Science
- INFO5046 Real Data: Modern Methods for Finding Hidden Patterns
- INFO5044 Applied Data Science
- MATH5023 Applied Data Science and Mathematics
- COMP5057 Foundations of Computer Science - Python A
- COMP5058 Foundations of Computer Science - Python B
- BUSI6047 Business Information Systems and Management
- INFO5045 Applications of Data Science
- INFO5043 Data Taming, Modelling and Visualisation
Programs I'm Associated With as Program Facilitator
| Date | Role | Membership | Country |
|---|---|---|---|
| 2020 - ongoing | Member | Australian Information Security Association (AISA) | Australia |
| 2020 - ongoing | Member | Australian Computer Society (ACS) | Australia |
| 2020 - ongoing | Member | Institute of Electrical and Electronics Engineers (IEEE) | United States |
Available For Media Comment.