AI/ML Engineer & Cybersecurity Researcher
I build intelligent systems at the intersection of artificial intelligence and cybersecurity. Currently researching Zero Trust Architecture for 6G networks as part of the Horizon Europe XTRUST 6G project at the School of Computing, University of Portsmouth.
About
I'm Shariar Kabir, a Researcher at the School of Computing, University of Portsmouth, where I work on the Horizon Europe XTRUST 6G project — developing next-generation Zero Trust Architecture systems for secure 6G networks.
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. My research spans AI-powered security systems, deepfake detection, and building infrastructure platforms that make cybersecurity education hands-on and accessible.
I created DeepGuard — a novel AI model for detecting real vs. AI-generated media, and CyberRange.world — a full-scale virtualisation lab platform now actively used by multiple universities for daily cybersecurity lab sessions and training exercises.
XTRUST 6G project researcher developing Zero Trust security for next-gen networks
Novel AI model for detecting deepfakes and AI-generated media with high accuracy
Virtualisation lab platform used by universities internationally for daily training
7+ research papers in AI, cybersecurity, and machine learning domains
Featured Work
Systems I've built that solve real problems — from AI-powered deepfake detection to university-scale cybersecurity training infrastructure.
A novel AI-powered forensic image and media authenticity detection system. DeepGuard leverages zero-shot CLIP embeddings combined with forensic-level feature analysis to distinguish between real and AI-generated content with exceptional accuracy. Published and recognised in peer-reviewed research.
A comprehensive virtualisation lab platform purpose-built for hands-on cybersecurity education and training. Featuring Docker-based challenge hosting, OpenVPN team isolation, real-time scoring, and a fully interactive environment for penetration testing and security exercises. Currently deployed and used daily by the University of Portsmouth and the University of Algeria for their students' lab sessions.
Part of the Horizon Europe XTRUST 6G project, researching and engineering next-generation Zero Trust Architecture systems for secure 6G networks. Implementing a comprehensive microservices architecture with Keycloak, Envoy proxy, Open Policy Agent, and custom SIEM analysis services for dynamic trust evaluation.
Multipurpose AI generation platform producing high-quality images, PDFs, and documents from textual prompts using state-of-the-art models.
Django middleware plugin that restricts login attempts based on IP addresses to enhance admin security and prevent brute-force attacks.
Social platform for IELTS learners with timeline, test analytics, and smart community system for language test preparation.
Speech-enabled AI assistant built with Python, capable of executing tasks, fetching information, and processing complex voice commands.
Machine learning-powered network traffic classifier that identifies malicious payloads and anomalous behaviour patterns in real-time using ensemble deep learning models.
Full-stack marketplace platform with web and Android applications for the Bangladesh market, published on Google Play Store.
Career
From engineering software solutions to leading cutting-edge research in AI and cybersecurity.
Contributing research in the Horizon Europe XTRUST 6G project, developing Zero Trust Architecture for next-generation 6G networks. Building and maintaining CyberRange.world — a virtualisation lab platform deployed across multiple universities. Conducting advanced research in AI-driven cybersecurity solutions and deepfake detection systems under the supervision of Professor Stavros Shiaeles.
Developed custom machine learning solutions for clients across various industries, including image classification systems, predictive analytics platforms, and recommendation engines. Delivered production-ready applications using Python, Django, and modern ML frameworks.
Research
Peer-reviewed papers spanning AI/ML, healthcare computing, and cybersecurity.
Expertise
A deep toolkit spanning AI research, cybersecurity operations, and full-stack engineering.
Education
A strong academic foundation in computer science, cybersecurity, and artificial intelligence.
Completed with Distinction. Advanced studies in digital forensics, network security, ethical hacking, and AI-driven cybersecurity. Developed DeepGuard as MSc dissertation project.
Focused on artificial intelligence, machine learning, and software development. Served as Course Instructor at Computer and Programming Club (CPC). Participated in multiple hackathons.
Completed with excellence in mathematics, physics, and chemistry.
Achieved distinction in science subjects, building the foundation for a career in technology.