Bridging the gap between cybersecurity and artificial intelligence to build safer digital ecosystems.
Hello! I'm Adnan Sami Bhuiyan, a passionate cybersecurity researcher with a deep interest in artificial intelligence and its applications in security systems. With over 5 years of experience in the field, I specialize in identifying vulnerabilities, developing secure systems, and leveraging AI to enhance threat detection and response mechanisms. My work focuses on the intersection of cybersecurity and machine learning, where I develop innovative solutions to combat evolving digital threats in an increasingly connected world.
Location
Dhaka, Bangladesh
Education
BSc in Computer Science
Experience
5+ Years
This 3D globe displays simulated cyber attack data in real-time, showing attack vectors between countries. Each colored line represents a different type of cyber attack:
This visualization is based on aggregated cyber threat intelligence from various sources. The data represents common attack patterns observed in recent years:
Hackerone
University Of Dhaka
Intel
Flysec Team
A Blockchain based Secured WebClient For Defence file Management
This project aims to develop a machine learning pipeline enhanced by QNN models to detect disease patterns by analyzing Single Nucleotide Polymorphisms (SNPs) — the most common type of genetic variation among individuals. While classical neural networks often falter with such complex datasets, QNNs excel at extracting meaningful insights from noisy, high-dimensional data.
Whether you're interested in discussing cybersecurity research, AI applications in security, or potential collaboration opportunities, I'd love to hear from you. Feel free to reach out through the form or directly via email.
Dhaka, Bangladesh
Available for consulting and research collaborations