Abdullah Al Siam

Cybersecurity Researcher

aasiam.cs@gmail.com · Personal Website · Google Scholar · ORCID · IEEE Author Profile · Semantic Scholar · DBLP · Web of Science · LinkedIn · GitHub X (Twitter) · Facebook

About Me

Abdullah Al Siam is a cybersecurity researcher specializing in artificial intelligence, threat intelligence, and cyber defense systems. His research interests include AI for cybersecurity, intelligent security operations, malware analysis, and intrusion detection, with a focus on real-world cyber defense applications. He has authored more than 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. In addition to research, he has practical experience in security operations, bridging academic research with operational cyber defense environments.

Websites

🌐 Personal Website: sites.google.com/view/abdullah-al-siam

Professional Role

Associate Security Operator
Digital Payments Limited (Pathao Pay) – Fintech Engineering

  • Security Monitoring & Incident Response
  • Threat Detection & Analysis
  • SOC Operations
  • Security Automation
  • Compliance & Reporting

Research Interests

Artificial Intelligence for Cybersecurity
Threat Intelligence & Cyber Defense
Malware Analysis & Detection
Intrusion Detection Systems
Intelligent Security Operations (SOC)

Academic research affiliation with Daffodil International University

Publications

Journal Articles

  1. A Comprehensive Review of AI’s Current Impact and Future Prospects in Cybersecurity — IEEE Access (Q1). Link
  2. IP SafeGuard: An AI-Driven Malicious IP Detection Framework — IEEE Access (Q1). Link
  3. Diegif: An Efficient and Secured DICOM to EGIF Conversion Framework for Confidentiality in ML Training — Results in Control and Optimization (Q2). Link
  4. Securing the Unseen: A Comprehensive Exploration Review of AI-Powered Models for Zero-Day Attack Detection — Expert Systems (Wiley) (Q2). Link

Conference Articles

  1. Secure Medical Imaging: A DICOM to JPEG 2000 Conversion Algorithm with Integrated Encryption — ICAIC 2025
  2. Artificial Intelligence for Cybersecurity: A State of the Art — ICAIC 2025
  3. Artificial Intelligence in Nanotechnology: Key Methodologies and Their Transformative Impact — CICN 2025
  4. A Robust Algorithm for Identifying Malicious IPs Enhancing Cybersecurity Defense — MPCON 2025
  5. Automating Malware Detection and Response via Real-Time Threat Feed Integration with Wazuh SIEM — COMPAS 2025
  6. AI-Driven Secure Semantic Communication with Dynamic Encryption for Real-Time Data Integrity — ICECIE 2025
  7. TransCall: A Transformer-Driven Framework for Zero-Day Malware Detection Using System Call Sequences — ICAIC 2026
  8. Real-Time Multi-Source Threat Intelligence Fusion Using Large Language Models — ICAIC 2026
  9. Explainable Machine Learning for Malware Detection: A SHAP-Based LightGBM Framework — ICAIC 2026

*Full publication list available on Google Scholar .

Tools & Technologies

Projects

ProjectDescription
Wazuh Malware Detection LabCustom rules and dashboards for Linux malware telemetry.
Insider Threat Simulation ToolkitLog emitter to simulate insider behaviors for SOC drills.
Threat Intel Feed IntegratorPython ingestion/enrichment for OpenCTI/MISP feeds.
Brute Force Detection DashboardOpenSearch visualizations for auth abuse patterns.
OWASP Top 10 ToolkitScripted detection & lab exercises for trainees.

Academic Qualifications

ExamFieldInstituteResultYearNotes
B.Sc.Software Engineering (Cybersecurity)Daffodil International UniversityCGPA 3.88/4.002023Graduated with Distinction
HSCScienceGCPSCGPA 4.50/5.002018
SSCScienceDewpara Gono High SchoolGPA 4.61/5.002016

Awards & Service

Experience

RoleOrganizationPeriodDuration
Associate Security OperatorPathao PayMar 2025 – PresentCurrent
SOC AnalystEnterprise InfoSec Consultants (EIC)Jun 2023 – Feb 20251y 9m
ResearcherCyber Security Centre, DIUJul 2022 – Jan 20237m

Total: ~2 years 6 months+

Certifications

Contact

📍 Mirpur, Dhaka, Bangladesh
📧 aasiam.cs@gmail.com
☎ +8801776333900

References

Mr. Nuruzzaman Faruqui
Assistant Professor, Dept. of Software Engineering, DIU
faruqui.swe@diu.edu.bd · +8801763341153