Dr Petar Radanliev

Professional Masters Programme Project Supervisor, Department of Computer Science

About

Dr Petar Radanliev lectures and supervises postgraduate Master’s students’ research dissertations on AI and cybersecurity at the Department of Computer Science, University of Oxford.

He is also Lecturer/Instructor at Pearson's and O’Reilly (USA), while also conducting research on digital identity system security at the Alan Turing Institute, based at the British Library (London). After completing his PhD in 2013/14, Dr Radanliev held postdoctoral research appointments at Imperial College London, the University of Cambridge, the Massachusetts Institute of Technology and the Department of Engineering Science at the University of Oxford, where he remained for seven years before moving to his current position.

His work spans artificial intelligence, cybersecurity, post-quantum security and blockchain security. This research has led to an H-index of 25 (as indexed by Web of Science and Scopus), over 4,000 citations, more than 100 peer-reviewed publications, and four authored books. In recognition of his contributions, Dr Radanliev has received major funding awards, including a Fulbright Fellowship and the Prince of Wales Innovation Award.

His publications include over 100 peer-reviewed articles and several books, including Post-Quantum Security for AI and Beyond the Algorithm: AI, Security, Privacy and Ethics. Recent books include Post-Quantum Security for AI: Resilient Digital Security in the Age of Artificial General Intelligence and Technological Singularity (2025); The Rise of AI Agents: Integrating AI, Blockchain Technologies, and Quantum Computing (2024); Beyond the Algorithm: AI Security, Privacy, and Ethics (2024); AI-Powered Digital Cyber Resilience (2025).

Watch online

Dr Petar Radanliev has three YouTube channels:

Expertise

  • Agentic Artificial Intelligence (AI): Exploring how AI systems can act independently, make decisions and collaborate with other intelligent agents. Work focuses on keeping these autonomous 'agentic' models safe, transparent and aligned with human values
  • AI Security and Resilience: Investigating how to defend AI systems from misuse, manipulation and cyberattack. Developing methods to detect and mitigate threats in generative and autonomous AI, ensuring technologies remain trustworthy in critical sectors
  • Post-Quantum Security: Designing new defences to secure digital communications and data against the future capabilities of quantum computers. Research creates cryptographic methods that can resist quantum attacks, ensuring long-term digital resilience
  • Quantum Cryptography: Applying quantum physics to create communication systems that cannot be intercepted or forged. This research demonstrates how quantum technologies can safeguard sensitive data and reinforce global cybersecurity networks
  • Blockchain and Distributed Trust Systems: Studying how decentralised digital ledgers can enhance transparency, security and accountability in AI-driven environments, from verifying data integrity to securing global supply chains
  • Digital Privacy and Ethical AI: Ensuring that AI systems respect privacy, fairness and accountability. Work develops frameworks for responsible AI governance and explains how to balance innovation with human rights and digital ethics
  • Cybersecurity and Critical Infrastructure: Strengthening digital defences in sectors such as energy, healthcare and finance through AI-enhanced risk analytics and adversarial testing, helping organisations anticipate and counter emerging cyber threats
  • Technological Singularity and AI Futures: Analysing the societal and security implications of rapidly advancing AI. Research examines how to prepare for a future where AI may exceed human cognitive abilities, ensuring this benefits humanity safely

Languages

Spoken Languages: English (native or bilingual proficiency), Macedonian (native or bilingual proficiency), Welsh, Greek, Serbian, Bulgarian, Croatian. Programming Languages: Proficient in Python, C++, Java, Scala, Julia, R, Javascript, Rust, Go.