AI Security
Adversarial AI, model security, poisoning, prompt and tool misuse, assurance and secure deployment.
Research · Innovation · Education · Impact
I study how intelligent and increasingly autonomous systems can remain secure, trustworthy and strategically resilient in adversarial environments.
Lecturer in Cybersecurity Education
Department of Informatics · King's College London
Research question
How can we design intelligent systems in which secure and trustworthy behaviour remains strategically sustainable, even when agents face adversarial incentives?
Research programme
Adversarial AI, model security, poisoning, prompt and tool misuse, assurance and secure deployment.
Trust, cooperation, competition, coordinated pressure, strategic behaviour and security among interacting autonomous agents.
Adaptive attacker-defender dynamics, incentives, commitment, cooperation and security mechanisms that evolve over time.
Distributed learning under poisoning, backdoor, collusion and strategically unreliable clients.
Responsible deployment, accountability, assurance, media and regulatory incentives, and trustworthy AI adoption.
Healthcare AI, IoT/AIoT, secure connected systems and applied intelligent decision support.
Selected publications
Chaos, Solitons & Fractals · Evolutionary game theory, AI security, differential access to defence and strategic commitment.
Publication details →Knowledge-Based Systems · Adaptive attacker-defender populations, defence intensity and evolutionary stability.
Publication details →Artificial Life Conference Proceedings · AI safety, media influence and evolutionary incentives for responsible development.
Publication details →Funded work
Responsible AI workforce development integrating AI safety, security and governance.
£299,666
Cybersecurity skills development, widening participation and employer-facing professional education.
£143,000
Collaborative cybersecurity research and innovation.
£60,000
Cybersecurity and AI-focused collaborative research and innovation.
£60,000
Quantum-resilient security research addressing emerging cyber risk.
£30,000
Principal-Investigator-led cybersecurity research and innovation projects.
£61,000 combined
Education
Cybersecurity, AI, ethics, distributed systems and postgraduate research, informed by curriculum leadership, online and international delivery, and large-cohort supervision.
Teaching & supervision →Academic contribution
Externally funded innovation, editorial leadership, peer review, professional service, industry engagement and public-facing impact.
Leadership → Service → Impact →Profile at a glance
My work connects cybersecurity, AI security, trustworthy AI and multi-agent systems with education, industry collaboration and applied research.
Academic profile
Research spanning AI security, adversarial behaviour, multi-agent cooperation, evolutionary game theory, federated learning, explainability and responsible AI.
Research themes →Teaching and module leadership across King's College London, Teesside University, University of Galway and Hankuk University of Foreign Studies, including large-scale postgraduate research education.
Teaching profile →Projects and partnerships connect research with SMEs, professional communities, healthcare, workforce development and regional cyber ecosystems.
Impact and engagement →Latest insights
New research commentary and professional posts will appear here automatically when published through the Insights editor.
Collaborate
I welcome conversations around cybersecurity, trustworthy AI, AI security, agentic systems, game-theoretic security and responsible AI deployment.
Get in touch