Abdullah Al Siam

Abdullah Al Siam – AI & Cybersecurity Researcher

Abdullah Al Siam is a cybersecurity researcher specializing in artificial intelligence, threat intelligence, and cyber defense systems. He holds a Bachelor of Science in Software Engineering (Cybersecurity) and began his research career at the Cyber Security Centre, Daffodil International University, focusing on AI-based threat detection and secure data processing.

He has hands-on experience in SOC operations, SIEM-based security monitoring, incident investigation, and response and has worked as a Cyber Security Engineer at Enterprise InfoSec Consultants (EIC). He is currently an Associate Security Operator in the Fintech Engineering department at Digital Payments Limited (Pathao Pay), contributing to the security of large-scale digital payment systems.

He has authored over fifteen (15) peer-reviewed research publications in leading international journals, including IEEE Access, Wiley, and Elsevier, and serves as a reviewer for the IEEE Access journal. His research interests include AI for cybersecurity, intelligent security operations, malware analysis, and intrusion detection with a focus on real-world security operations and AI-driven cyber defense.

Academic Background

Research and Publication

Here is the list of journal articles by Abdullah Al Siam:

Al Siam, A., Alazab, M., Awajan, A., & Faruqui, N. (2025). A Comprehensive Review of AI's Current Impact and Future Prospects in Cybersecurity. IEEE Access, 13, 14029-14050.
Al Siam, A., Hassan, M. M., Rahaman, M. A., & Abdullah, M. (2025). Diegif: An efficient and secured DICOM to EGIF conversion framework for confidentiality in machine learning training. Results in Control and Optimization, 18, 100515.
Al Siam, A., Alazab, M., Awajan, A., Hasan, M. R., Obeidat, A., & Faruqui, N. (2025). IP SafeGuard-An AI-Driven Malicious IP Detection Framework. IEEE Access.
Al Siam, A., Faruqui, N., Azad, A., & Moni, M. A. (2026). Securing the Unseen: A Comprehensive Exploration Review of AI‐Powered Models for Zero‐Day Attack Detection. Expert Systems, 43(3), e70217.

List of Conference Papers by Abdullah Al Siam:

Al Siam, A., Hassan, M. M., & Bhuiyan, T. (2025, February). Artificial Intelligence for Cybersecurity: A State of the Art. In 2025 IEEE 4th International Conference on AI in Cybersecurity (ICAIC) (pp. 1-7). IEEE.
Al Siam, A., Hassan, M. M., & Bhuiyan, T. (2025, February). Secure Medical Imaging: A DICOM to JPEG 2000 Conversion Algorithm with Integrated Encryption. In 2025 IEEE 4th International Conference on AI in Cybersecurity (ICAIC) (pp. 1-6). IEEE.
Al Siam, A., Hassan, M. M., Faruqui, N., Sonet, I. H., Masum, A. K. M., Bhuiyan, T., & Farid, D. M. (2025, August). A Robust Algorithm for Identifying Malicious IPs Enhancing Cybersecurity Defense. In 2025 IEEE Madhya Pradesh Section Conference (MPCON) (pp. 486-492). IEEE.
Al Siam, A., Bhuiyan, T., & Hassan, M. M. (2025, November). AI-Driven Secure Semantic Communication with Dynamic Encryption for Real-Time Data Integrity. In 2025 7th International Conference on Electrical, Control and Instrumentation Engineering (ICECIE) (pp. 173-180). IEEE.
Al Siam, A., Bhuiyan, T., & Hassan, M. M. (2025, December). Artificial Intelligence in Nanotechnology: Key Methodologies and Their Transformative Impact. In 2025 IEEE 17th International Conference on Computational Intelligence and Communication Networks (CICN) (pp. 1752-1757). IEEE.
Siam, A. A., & Sadequzzaman Shohan, S. (2025). Privacy-preserving AI for encrypted medical imaging: A framework for secure diagnosis and learning. arXiv preprint arXiv:2507.21060.
Al Siam, A., Bhuiyan, T., & Hassan, M. M.An Exploratory Analysis of Effect of Adversarial Machine Learning Attack on IoT-enabled Industrial Control Systems. In 2023 International Conference on Smart Computing and Application (ICSCA) (pp. 1-8). IEEE.
Al Siam, A., Bhuiyan, T., & Hassan, M. M.An Innovative Deep Neural Network for Stress Classification in Workplace. In 2023 International Conference on Smart Computing and Application (ICSCA) (pp. 1-5). IEEE.
Al Siam, A., Bhuiyan, T., & Hassan, M. M. Bacterial Strain Classification using Convolutional Neural Network for Automatic Bacterial Disease Diagnosis. In 2023 13th International Conference on Cloud Computing, Data Science & Engineering (Confluence) (pp. 325-332). IEEE.
Al Siam, A., Bhuiyan, T., & Hassan, M. M.AI-Driven Secure Semantic Communication with Dynamic Encryption for Real-Time Data Integrity. In 2025 7th International Conference on Electrical, Control and Instrumentation Engineering (ICECIE) (pp. 173-180). IEEE.

Abdullah Al Siam – Photos & Research Activities

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