CV

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A short version is below. The full list of papers is on the publications page.

Education

• Doctor of Computer Science (in progress), University of the Potomac, Washington, DC — 2025 – present (GPA 4.00)
• M.S. in Information Technology, Washington University of Science and Technology — 2024 (GPA 4.00, Presidential List)
• M.Sc. in Computer Science and Engineering, BRAC University — 2022
• B.Sc. (Honours) in Computer Science and Engineering, Jahangirnagar University — 2011

Research profile

• 9 peer-reviewed publications (2024–2025) and an M.Sc. thesis
• 223 citations, h-index 6, i10-index 5 (Google Scholar, September 2026)
• Peer reviewer: Engineering Applications of Artificial Intelligence (Elsevier), Discover Computing (Springer Nature)

Experience

• DevOps Engineer, 9th Networks — Sep 2024 – May 2025
  • CI/CD pipelines, Docker containerization, automated infrastructure deployment and monitoring
• Senior Software Engineer / Technical Lead, Pubali Bank PLC — May 2020 – Oct 2022
  • Cloud API services on Spring Boot/Cloud; Keycloak (OAuth 2.0/OIDC) identity; Kafka event streaming; Docker and Kubernetes
• Senior Software Engineer, Kona Software Lab — Dec 2014 – Mar 2020
  • Payment platforms compliant with Visa, Mastercard, and Diners Club; K-KMS cryptographic key management; EMV card personalization (K-CPS, K-PAS, K-IIS)
• Android Developer, MB Software — Mar 2014 – Dec 2014
• Programmer (Java), BJIT — Mar 2013 – Mar 2014

Publications

Real-time Twitter Trending Topics Detection and Sentiment Analysis Using Data Mining Technique

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

Continual Learning Pipelines for Detecting Insider Threats Across Corporate Cybersecurity Infrastructures

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

Cyber Attacks on Space Information Networks: Vulnerabilities, Threats, and Countermeasures for Satellite Security

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

Health Care — An Android Application Implementation and Analyzing User Experience

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

Comparative Analysis of Machine Learning Algorithms for Predicting Cybersecurity Attack Success: A Performance Evaluation

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

Machine Learning-Based Anomaly Detection for Cyber Threat Prevention

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

Advancements and Applications of Generative Artificial Intelligence and Large Language Models on Business Management: A Comprehensive Review

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

Elon Musk’s Neuralink Brain Chip: A Review on ‘Brain-Reading’ Device

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

Review on Blockchain for IoT Security and Data Integrity

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

A Document Vectorization Approach to Resume Ranking System (RRS)

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

Certifications

• CompTIA Security+ (SY0-701) · ISC2 Certified in Cybersecurity (CC) · Google Cybersecurity Professional Certificate — 2025
• DevOps Engineering with Cloud Computing (PeopleNTech) — 2024 · ITPEC FE — 2022 · Coursera NLP (DeepLearning.AI) — 2021