Dr Petar Radanliev

Professional Masters Programme Project Supervisor, Department of Computer Science

About

Dr Petar Radanliev is a researcher in artificial intelligence (AI) and cybersecurity at the University of Oxford's Department of Computer Science.

With a background that spans industry and academia, his research focuses on the intersection of AI, cybersecurity, and digital privacy, aiming to develop robust security frameworks that can withstand the challenges posed by emerging technologies such as quantum computing and blockchain. Dr Radanliev has authored over 38 research papers and several books including Beyond the Algorithm: AI Security, Privacy, and Ethics, which explores the ethical implications of AI technologies.

Dr Radanliev's work is not only theoretical but also highly practical. For example, he has developed AI-enhanced security frameworks that have been adopted by major tech companies, and his blockchain-based supply chain transparency framework is currently being piloted to reduce fraud and enhance sustainability. Dr Radanliev has also been invited to speak at prestigious conferences such as DEF CON, Black Hat, and RSA, where he has shared insights on the future of digital security.

Beyond his core research, Dr Radanliev is passionate about using technology to improve mental health and support physically disabled students. Recent projects have explored the therapeutic potential of virtual technologies including the use of dance movement therapy in the Metaverse to create more inclusive and supportive environments. Dr Radanliev is committed to mentoring the next generation of researchers, having supervised over 300 MSc students and ten doctoral candidates, many of whom have gone on to successful careers in academia and industry.

Dr Radanliev is an active member of several professional organisations, including The Coalition for Secure AI (CoSAI); the Open Web Application Security Project (OWASP); and the Organisation for the Advancement of Structured Information Standards (OASIS Open). These memberships allow Dr Radanliev to stay at the forefront of developments in his field and contribute to global efforts in advancing secure and ethical AI practices. Dr Radanliev believes in the power of technology to address some of society's most pressing challenges and is dedicated to making complex technological concepts accessible and beneficial to a wider audience.

Dr Radanliev has developed advanced cybersecurity frameworks, incorporating sophisticated threat detection and mitigation strategies that aligns closely with current industry trends, ensuring practical applicability; see: Frontiers | Ethics and responsible AI deployment (frontiersin.org). The cybersecurity models he developed are now integrated into the Software Bill of Materials (SBOM) frameworks used by Cisco, Google, and other major tech companies participating in the Coalition for Secure AI (CoSAI). One such model is the Factor Analysis of Information Risk U-Tool, a comprehensive risk assessment tool that quantifies the potential impact of vulnerabilities in third-party components, allowing organisations to prioritise their security efforts effectively.

In collaboration with the Vice President for AI Security at Cisco Systems, Dr Radanliev co-authored several influential books and video courses on AI security, development, deployment, and responsible AI practices. His book Beyond the Algorithm: AI Security Privacy and Ethics has been adopted as a key reference in multiple university courses in the University of Oxford, and corporate training programmes at Cisco Systems. His blockchain-based supply chain transparency framework is currently being piloted by several manufacturing firms to track and verify the provenance of materials, thereby reducing fraud and enhancing sustainability. This framework uses smart contracts to automate the verification process, ensuring accuracy and reducing the potential for human error. See: 

In 2010, Dr Radanliev was awarded the Prince of Wales Innovation Scholarship for research on software supply chain cybersecurity. In 2017, he was awarded the Fulbright Visiting Fellowship, for collaborative research in cybersecurity at MIT and the University of Cambridge. 

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Expertise

  • Artificial Intelligence: How machines and computers can learn to perform tasks that usually require human intelligence, such as recognising patterns and making decisions.
  • Cybersecurity: Protecting computers, networks, and data from unauthorised access and attacks, ensuring that our digital world remains safe and secure.
  • Blockchain Technology: A system that records information in a way that makes it difficult to change or hack, commonly known for its use in cryptocurrencies like Bitcoin.
  • Cryptocurrencies: Digital or virtual forms of money that use cryptography for security and operate independently of a central bank.
  • Digital Privacy: Protecting personal information online to ensure that it is not accessed or used without permission.
  • Post-Quantum Cryptography: Developing new methods to keep our digital information secure against the potential future threat posed by quantum computers, which could break current encryption methods.
  • Quantum Cryptography: Using the principles of quantum physics to create secure communication systems that are impossible to hack.
  • Technological Singularity: The idea that artificial intelligence could one day surpass human intelligence, leading to rapid technological advancements that could transform society.

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.