I am a researcher in artificial intelligence and cybersecurity at the School of Computing, Mathematics and Physics,
University of Portsmouth, working on the Horizon Europe XTRUST-6G project on Zero Trust Architecture
for next-generation networks. In 2026 I was awarded the UK Global Talent Visa, endorsed by UK Research
and Innovation (UKRI), in recognition of my research in AI and cybersecurity.
I hold an MSc in Cyber Security and Forensics (Distinction) from the University of Portsmouth and a BSc in
Computer Science and Engineering from Daffodil International University, Bangladesh. My earlier research applied machine
learning to healthcare and agriculture, including early detection of dementia and identification of medicinal plants.
Research interests
Zero Trust Architecture6G network securityAI-generated media detectionMedia forensicsPrivacy-preserving digital forensicsML for intrusion detectionCyber ranges & security educationApplied deep learning in healthcare
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Research & projects
CyberRange.world: virtualisation lab platform for cybersecurity education
Core development team · in production at universities across the UK and Europe
A platform for hands-on cybersecurity teaching and training: Docker-based challenge hosting, OpenVPN team isolation, real-time scoring and interactive penetration-testing environments. In daily production use for lab sessions by multiple universities and departments, including the University of Portsmouth, and expanding across the UK and Europe.
XTRUST-6G: Zero Trust Architecture for 6G networks
Horizon Europe · University of Portsmouth · 2024 to present
Research and engineering on Zero Trust Architecture for secure next-generation networks: continuous verification of users, devices and services, policy-driven access control and dynamic trust evaluation, as part of a European consortium.
Zero Trust6GNetwork securityPolicy-driven access
DeepGuard: forensic detection of AI-generated images
MSc dissertation · 2024
A forensic model for distinguishing real from AI-generated images. DeepGuard combines zero-shot CLIP embeddings with handcrafted forensic features (pixel-level inconsistencies, PRNU sensor patterns) in a lightweight, explainable classifier suited to investigators and researchers.
AI Threat Classifier, ensemble deep-learning classifier for malicious payloads and anomalous network traffic ·
Django IP Lock, Django middleware limiting login attempts by IP ·
ThinkAI, text-to-image, PDF and document generation platform ·
MockTak, community and analytics platform for IELTS learners ·
BechDia, web and Android marketplace for Bangladesh, published on Google Play ·
Python Virtual Assistant, speech-driven task assistant.
CyberRange.world now in production use by multiple universities and departments for regular lab teaching, and expanding across the UK and Europe.
Awarded the UK Global Talent Visa, endorsed by UK Research and Innovation (UKRI), the UK route for recognised leaders and emerging leaders in research.
Paper published in Data in Brief (Elsevier): an extensive visual dataset for identification of medicinal plant leaves.
Paper presented at the International Conference on Robotics and Artificial Intelligence (ICRAI 2025), Nagoya, Japan.
Joined the School of Computing, University of Portsmouth, as a Researcher on the Horizon Europe XTRUST-6G project.
Completed the MSc in Cyber Security and Forensics with Distinction; DeepGuard developed as the dissertation project.
Paper on early detection of dementia presented at IEEE ICCCI 2023.
UK Global Talent Visa, endorsed by UK Research and Innovation (UKRI)Awarded in recognition of research in artificial intelligence and cybersecurity. The Global Talent route is for recognised leaders and emerging leaders in research and innovation.
MSc Cyber Security and Forensics with DistinctionUniversity of Portsmouth. Dissertation project: DeepGuard, forensic detection of AI-generated images.
Hackathon awardsAwards at national and international hackathons during undergraduate study at Daffodil International University.