Published in M.Sc. thesis, BRAC University, 2022
Sole author.
Recommended citation: Nabi, N. (2022). A Document Vectorization Approach to Resume Ranking System (RRS) [Master's thesis, BRAC University; supervisor: Dr. Muhammad Iqbal Hossain]. http://hdl.handle.net/10361/17980
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Published in Computer Science & Information Technology (CS & IT), CSCP 2024, 2024
Co-author (4th of 8).
Recommended citation: Shaima, M., Rana, M. N. U., Islam, M. T., Nabi, N., Tusher, M. I., Ahmed, E., Saha, S., & Al Shiam, S. A. (2024). Review on Blockchain for IoT Security and Data Integrity. Computer Science & Information Technology (CS & IT), 14(11), 115–126. https://doi.org/10.5121/csit.2024.141110
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Published in Journal of Computer Science and Technology Studies, 2024
Co-author (2nd of 8).
Recommended citation: Shaima, M., Nabi, N., Rana, M. N. U., Islam, M. T., Ahmed, E., Tusher, M. I., Mukti, M. H., & Saad-Ul-Mosaher, Q. (2024). Elon Musk's Neuralink Brain Chip: A Review on 'Brain-Reading' Device. Journal of Computer Science and Technology Studies, 6(1), 200–203. https://doi.org/10.32996/jcsts.2024.6.1.22
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Published in Journal of Computer Science and Technology Studies, 2024
Co-author (5th of 9).
Recommended citation: Linkon, A. A., Shaima, M., Sarker, M. S. U., Badruddowza, Nabi, N., Rana, M. N. U., Ghosh, S. K., Esa, H., & Chowdhury, F. R. (2024). Advancements and Applications of Generative Artificial Intelligence and Large Language Models on Business Management: A Comprehensive Review. Journal of Computer Science and Technology Studies, 6(1), 225–232. https://doi.org/10.32996/jcsts.2024.6.1.26
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Published in Journal of Primeasia, 2024
First and corresponding author.
Recommended citation: Nabi, N., Rahman, M. M., Ghosh, S. K., Alam, S., Barua, R., Asaduzzaman, M., & Shatu, N. R. (2024). Machine Learning-Based Anomaly Detection for Cyber Threat Prevention. Journal of Primeasia, 6(1), 1–8. https://doi.org/10.25163/primeasia.6110172
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Published in The American Journal of Engineering and Technology, 2024
Co-author (5th of 10).
Recommended citation: Sayed, M. A., Badruddowza, Sarker, M. S. U., Al Mamun, A., Nabi, N., Mahmud, F., Alam, M. K., Hasan, M. T., Buiya, M. R., & Choudhury, M. Z. M. E. (2024). Comparative Analysis of Machine Learning Algorithms for Predicting Cybersecurity Attack Success: A Performance Evaluation. The American Journal of Engineering and Technology, 6(9), 81–91. https://doi.org/10.37547/tajet/Volume06Issue09-10
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Published in 2025 IEEE 5th International Conference on Smart Information Systems and Technologies (SIST), 2025
Co-author (4th of 6).
Recommended citation: Ahmed, E., Shaima, M., Tusher, M. I., Nabi, N., Rana, M. N. U., & Saha, S. (2025). Health Care — An Android Application Implementation and Analyzing User Experience. In 2025 IEEE 5th International Conference on Smart Information Systems and Technologies (SIST) (pp. 1–6). IEEE. https://doi.org/10.1109/SIST61657.2025.11139168
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Published in Journal of Cybersecurity and Privacy (MDPI), 2025
Co-author (3rd of 5).
Recommended citation: Sharmin, A., Mahmud, B. U., Nabi, N., Shaima, M., & Faruk, M. J. H. (2025). Cyber Attacks on Space Information Networks: Vulnerabilities, Threats, and Countermeasures for Satellite Security. Journal of Cybersecurity and Privacy, 5(3), 76. MDPI. https://doi.org/10.3390/jcp5030076
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Published in 2025 International Conference on Electrical Engineering and Informatics (ICEEI), 2025
First author.
Recommended citation: Nabi, N., Tuhin, M. K., Bashir, M., Lucky, K. Y., Raihan, M., Imam, H., & Ansar, M. T. B. (2025). Continual Learning Pipelines for Detecting Insider Threats Across Corporate Cybersecurity Infrastructures. In 2025 International Conference on Electrical Engineering and Informatics (ICEEI) (pp. 1–8). IEEE. https://doi.org/10.1109/ICEEI68459.2025.11330487
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Published in 2025 IEEE 4th International Conference on Robotics, Automation, Artificial-Intelligence and Internet-of-Things (RAAICON), 2025
Co-author (6th of 8).
Recommended citation: Mahin, M. R. H., Ahmed, E., Mukti, M. H., Rana, M. N. U., Islam, M. T., Nabi, N., Akhi, S. S., & Shaima, M. (2025). Real-time Twitter Trending Topics Detection and Sentiment Analysis Using Data Mining Technique. In 2025 IEEE 4th International Conference on Robotics, Automation, Artificial-Intelligence and Internet-of-Things (RAAICON) (pp. 72–76). IEEE. https://doi.org/10.1109/RAAICON69033.2025.11502118
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