Md Mahmuduzzaman Kamol

Cybersecurity researcher working on malware analysis, concept drift, and continual learning.

Ph.D. student in Electrical and Computer Engineering at Old Dominion University.
Previously, Ph.D. student in Computer Science at the University of Texas at El Paso.

About

My research focuses on how malware changes over time and how detection systems can remain useful under that change. I study concept drift, continual learning, and adaptive malware detection, with additional interests in post-quantum cybersecurity and the security of quantum machine learning systems.

Before beginning my doctoral studies, I worked in security engineering, penetration testing, incident response, and threat hunting.

Research & publications

Selected work on malware analysis, longitudinal benchmarks, and learning under distribution shift.

Publications

Aug 2025 — now

Research Assistant ↗

IQSec Lab · USA

  • Researching concept drift and continual learning for adaptive malware detection.
  • Developing ML models that learn from evolving malware behavior.
  • Collaborating on peer-reviewed cybersecurity research.
Aug 2024 — Jul 2025

Cyber Security Engineer ↗

Dutch Bangla Bank PLC · Dhaka

  • Penetration-tested 20+ API and web applications.
  • Monitored security solutions across nearly 1,000 systems in a Tier 4 data center.
  • Performed digital forensics and threat hunting.
Dec 2023 — Jul 2024

Junior Cyber Security Engineer ↗

TechnoNext Ltd. · Dhaka

  • Led testing across cloud, API, web, and mobile applications.
  • Built monitoring and incident response workflows for 300+ devices.
  • Improved suspicious traffic detection by 30% with SELKS and Mikrotik.
Sep — Nov 2023

Associate, Security Operations Centre ↗

SSL Wireless · Dhaka

  • Found 30+ severe vulnerabilities, including PII exposure and server takeover.
  • Recovered two servers compromised by stealth malware.

Have a problem worth solving?

Let’s make security
more adaptive.

mzkamol@gmail.com ↗