Hello, I'm
Cybersecurity Researcher, Academic & AI Consultant
PhD Scholar at University College Dublin, working across research, academia, and consultancy. My work focuses on applying Machine Learning, NLP, and AI-driven cybersecurity to enhance online safety, detect harmful behaviour, protect critical infrastructure, and build secure digital environments.
About Me
Hello! I'm Furqan Rustam, a researcher and educator specialising in Cybersecurity and Artificial Intelligence. Originally from Pakistan, my work is driven by a passion for building intelligent systems that make the digital world safer.
I am pursuing my Ph.D. at University College Dublin, where my research applies Machine Learning and Natural Language Processing to detect and mitigate harmful online interactions.
Alongside research, I teach and mentor students across CS, AI, and Data Science, and freelance on Fiverr as a Level 2 Seller delivering machine learning projects.
I also provide consultancy in the cybersecurity and AI domain, helping academic, industrial, and startup-focused teams translate research ideas into practical solutions. My experience includes AI-driven threat detection, critical infrastructure security, network resilience, research planning, and product-oriented cybersecurity strategy.
With 8+ years of combined academia and research experience, I have contributed to university research, industry-facing projects, and commercialization-oriented initiatives, including work connected to TROCI and the development of the OneShield-Secura startup concept.
I'm always open to collaboration on projects aimed at making digital environments more secure, trustworthy, and resilient.
Expertise
What I Do
Exploring AI-driven solutions across cybersecurity, NLP, and intelligent systems.
AI-driven solutions for online safety, toxic content detection, and cybersecurity using ML & NLP.
Sharing datasets and code on GitHub and Kaggle to support the reproducible research community.
Mentoring students in CS, AI, and Data Science at university level with real-world projects.
Technical writing & ML projects on Fiverr — Level 2 Seller with top-rated client reviews.
Advising on cybersecurity and AI solutions, research commercialisation, network security, and ML-based threat detection.
GitHub Projects
Selected research implementations in cybersecurity, AI, LLMs, anomaly detection, malicious traffic detection, and machine learning.
Fully automated malicious traffic detection system for multi-environment networks, integrating machine learning, deep learning, optimisation, and feature engineering.
A unified continuous learning framework for real-time DDoS detection in multi-environment networks, supporting adaptive and resilient cyber-defence.
A project exploring few-shot learning and retrieval-augmented generation for improving LLM reasoning, knowledge grounding, and domain-specific responses.
Malware detection approach using image representation of malware data and transfer learning models for automated classification and threat analysis.
Research implementation combining anomaly detection and multi-environment network data to support AI-driven intrusion and malicious traffic detection.
Dataset and research resource for racism detection, sentiment analysis, harmful content analysis, and online abuse detection using social media data.
Open Data
Publicly available datasets supporting research in cybersecurity, malicious traffic detection, NLP, sentiment analysis, and social media intelligence.
A multi-environment network dataset for real-time DDoS and malicious traffic detection, supporting research on IoT, traditional IP-based traffic, and AI-driven cybersecurity.
View DatasetA Twitter-based dataset for racism detection through sentiment analysis, supporting research on harmful content, social media toxicity, and online abuse detection.
View DatasetGoogle Play Store reviews dataset for aspect-level sentiment analysis and recommendation research on calling apps such as IMO, Skype, Telegram, WeChat, and WhatsApp.
View DatasetCybersecurity & AI Services
I provide consultancy across cybersecurity and AI, supporting academic, industry, and startup teams. With extensive hands-on experience, including freelance consulting on Fiverr, I help clients design, develop, and validate intelligent and secure systems — from research ideas to working prototypes.
Consultancy on secure system design, network security, threat detection, and AI-driven defence mechanisms. Helping organisations identify risks and build robust, secure architectures.
Development of ML/NLP models, intelligent systems, and applied AI solutions, including data pipelines, experimentation, and performance optimisation.
Assisting clients in building early-stage prototypes and proof-of-concepts, translating ideas into functional systems for research, startups, and product validation.
Founder of OneShield Secura, a cybersecurity-focused startup initiative, working on transforming research ideas into scalable, real-world security solutions.
Extensive experience delivering high-quality consulting services on Fiverr, including AI solutions, and cybersecurity-related projects, with strong client satisfaction and repeat collaborations.
Academic Work
Five representative papers highlighting my work in cybersecurity, malicious traffic detection, anomaly detection, AI, and applied machine learning.
Recognition
Recognition for research excellence, academic achievement, professional development, and scientific service.
Recognised for developing employability skills beyond the classroom through academic, research, and professional engagement.
Received a fully funded PhD scholarship at UCD in recognition of academic excellence and research potential.
Awarded Erasmus+ funding to attend the Una Europa Summer School on Artificial Intelligence & Creativity.
Part of the awarded research work on cryptocurrency price prediction using hybrid deep learning and explainable AI.
Received recognition for a highly downloaded article: “Review prognosis system to predict employees job satisfaction using deep neural network.”
Professional certification focused on agentic AI systems and modern AI engineering practices.
Completed interdisciplinary training exploring AI, creativity, generative models, digital ethics, and responsible innovation.
Achieved Level 2 Seller status for consistent client satisfaction and high-quality delivery in machine learning projects.
Serving as Academic Editor, contributing to peer review, manuscript evaluation, and the publication of high-quality scientific research.
Contributing to the academic community through peer review and evaluation of research in computing, AI, and cybersecurity.
Strong citation record across Data Science, Artificial Intelligence, Machine Learning, Data Mining, and Bioinformatics.
Recognised among the world’s top scientists based on research impact and citation-based indicators.
Education
Courses taught and academic mentoring across universities in Ireland and Pakistan.
Delivered tutorials and lab sessions in Malware Analysis, Data Structures, Machine Learning, and Data Analytics, supporting undergraduate and postgraduate students.
Teaching postgraduate courses including Artificial Intelligence, Machine Learning, Data Analytics, AI for Finance, and Data Communication & Networking.
Taught Java Programming and Data Structures, focusing on foundational computing concepts and practical software development skills.
Delivered courses in Machine Learning, Computer Networks, and Data Structures, alongside research activities in data science and AI.
Academic Background
Formal academic training in computer science, cybersecurity, machine learning, data mining, and network security.
Thesis: Malicious Traffic Detection in Multi-Environment Networks using Hybrid Machine Learning Approaches.
Courses: Machine Learning, Network Security, Academic Writing for Science, Online Research Skills, and Research Integrity.
Thesis: Data Resampling using Supervised Machine Learning Techniques to Predict Pulsar Stars.
Courses: Advanced Image Processing, Advanced Algorithm Design and Analysis, Advanced Data Mining, Theory of Computation, Machine Learning, and Natural Language Processing.
CGPA: 3.63/4.00
Project: EChat Messenger.
Courses: Programming Fundamentals, Java Programming, Web Designing, Databases, Networking, Data Structures, English, and Graphic Designing.
CGPA: 3.62/4.00
Technical Profile
Programming, AI/ML frameworks, cloud tools, simulation environments, and database technologies.