Biography
Dr Petar Radanliev obtained his Ph.D., MSc., and BA Hons., from the University of Wales. Prior to joining Oxford, Petar completed postdoctoral research projects in Imperial College London, University of Cambridge, MIT and the University of North Carolina. He was Prince of Wales Innovation Scholar at the University of Wales, and Fulbright Scholar at MIT and the University of North Carolina.
Postdoctoral research projects completed by Dr Petar Radanliev in the Oxford e-Research Centre:
- RED AID: REspectful and capability-centreD AI Device for Preventing Call Fraud
- REDCON: Red Teaming the Connected World
- Cisco Systems: Cyber Risk Artificial Intelligence
- Cyber Risk Analytics and Artificial Intelligence (CRatE)
- Impact Assessment Model for the IoT (IAM)
- Harnessing Economic Value from IoT technologies
- Cisco Systems: Impact of Cyber Risk
- SOCIAM: The Theory and Practice of Social Machines
Most Recent Publications
Super-forecasting the ‘technological singularity’ risks from artificial intelligence
Radanliev P, De Roure D, Maple C & Ani U (2023)
Research Interests
- Cybersecurity in the Metaverse
- Cybersecurity and Cryptocurrencies
- Blockchain Security
- Artificial Intelligence in Internet-of-Things (AI on a diet)
- Cyber Risk - Assessment, Analytics, Management
- Cyber Risk in National Critical Infrastructure
- New technologies for Mental Health treatment
Research Groups
Past Projects
- Cisco Research Centre - Cyber Risk Analytics and Artificial Intelligence
- PETRAS/EPSRC project - Impact of Cyber Risk (CRatE)
Related Academics
Most Recent Publications
Super-forecasting the ‘technological singularity’ risks from artificial intelligence
Radanliev P, De Roure D, Maple C & Ani U (2023)
Publications
Recent Publications
- Radanliev, Petar., and De Roure, David. New and emerging forms of data and technologies: literature and bibliometric review Multimed. Tools Appl. 2022, pp. 1–25, Jul. 2022, doi: 10.1007/S11042-022-13451-5
- Radanliev, Petar., De Roure, David., Walton, Rob., Van Kleek, Max., Santos, Omar., and Maddox, La’Treall. What country, university, or research institute, performed the best on COVID-19 during the first wave of the pandemic? Ann. Data Sci. 2022, pp. 1–19, Jun. 2022, doi: 10.1007/S40745-022-00406-8
- Radanliev, Petar., and De Roure, David. Review of the state of the art in autonomous artificial intelligence AI Ethics 2022, vol. 1, pp. 1–8, Jun. 2022, doi: 10.1007/S43681-022-00176-2
- Radanliev, Petar., De Roure, David., Maple, Carsten., and Ani, Uchenna. Super-forecasting the ‘technological singularity’ risks from artificial intelligence Evol. Syst. 2022, pp. 1–11, Jun. 2022, doi: 10.1007/S12530-022-09431-7
- Radanliev, Petar., De Roure, David., Maple, Carsten., and Santos, Omar. “Forecasts on Future Evolution of Artificial Intelligence and Intelligent Systems,” IEEE Access, vol. 10, pp. 45280–45288, 2022, doi: 10.1109/ACCESS.2022.3169580
- Radanliev, Petar., and De Roure, David. Review of Algorithms for Artificial Intelligence on Low Memory Devices IEEE Access, vol. 9, pp. 109986–109993, 2021, doi: 10.1109/ACCESS.2021.3101579
- Radanliev, Petar., De Roure, David., Page, Kevin., Van Kleek, Max., Santos, Omar., Maddox, La’Treall., Burnap, Peter., … Maple, Carsten. Design of a dynamic and self-adapting system, supported with artificial intelligence, machine learning and real-time intelligence for predictive cyber risk analytics in extreme environments - cyber risk in the colonisation of Mars Saf. Extrem. Environ., vol. 2, no. 3, pp. 219–230, Feb. 2021, doi: 10.1007/s42797-021-00025-1
- Radanliev, Petar., De Roure, David., Van Kleek, Max., Santos, Omar., and Ani, Uchenna. Artificial intelligence in cyber physical systems AI Soc., vol. 1, pp. 1–14, Aug. 2020, doi: 10.1007/s00146-020-01049-0
Petar has written a blog post about this publication.
- Radanliev, Petar., De Roure, David., Nicolescu, Razvan., Huth, Michael., and Santos, Omar. Artificial Intelligence and the Internet of Things in Industry 4.0 CCF Trans. Pervasive Comput. Interact., pp. 1–10, Mar. 2021, doi: 10.1007/s42486-021-00057-3
- Radanliev, Petar., De Roure, David., Walton, Rob., Van Kleek, Max., Montalvo, Rafael Mantilla R.M., Maddox, La’Treall L.T., Santos, Omar., … Anthi, Eirini. Artificial intelligence and machine learning in dynamic cyber risk analytics at the edge SN Appl. Sci., vol. 2, no. 11, pp. 1–8, Nov. 2020, doi: 10.1007/s42452-020-03559-4
- Radanliev, Petar., De Roure, David., Van Kleek, Max., Ani, Uchenna., Burnap, Pete., Anthi, Eirini., Nurse, Jason R.C., … Maddox, La’Treall T., Dynamic real-time risk analytics of uncontrollable states in complex internet of things systems: cyber risk at the edge Environ. Syst. Decis., vol. 41, no. 2, pp. 236–247, Nov. 2020, doi: 10.1007/s10669-020-09792-x
- Radanliev, Petar., De Roure, David., Burnap, Pete., and Santos, Omar. Epistemological Equation for Analysing Uncontrollable States in Complex Systems: Quantifying Cyber Risks from the Internet of Things Rev. Socionetwork Strateg. 2021, pp. 1–31, Jul. 2021, doi: 10.1007/S12626-021-00086-5
- Radanliev, Petar., De Roure, David., Nicolescu, Razvan., Huth, Michael., and Santos, Omar. Digital twins: artificial intelligence and the IoT cyber-physical systems in Industry 4.0 Int. J. Intell. Robot. Appl., pp. 1–15, May 2021, doi: 10.1007/s41315-021-00180-5
Journal articles on Covid-19
- Radanliev, Petar., De Roure, David., Walton, Rob., Van Kleek, Max., Montalvo, Rafael Mantilla., Santos, Omar., Maddox, La’Treall T., and Cannady, Stacy. COVID-19 what have we learned? The rise of social machines and connected devices in pandemic management following the concepts of predictive, preventive and personalized medicine EPMA Journal, vol. 11, no. 3. Springer, pp. 311–332, 01-Sep-2020, doi: 10.1007/s13167-020-00218-x
Petar has written a blog post about this publication.
- Radanliev, Petar., De Roure, David., and Walton, Rob. Data mining and analysis of scientific research data records on Covid-19 mortality, immunity, and vaccine development - In the first wave of the Covid-19 pandemic Diabetes Metab. Syndr. Clin. Res. Rev., vol. 14, no. 5, pp. 1121–1132, Sep. 2020, doi: 10.1016/j.dsx.2020.06.063
- Radanliev, Petar., De Roure, David., Ani, Uchenna., and Carvalho, Graca. The ethics of shared Covid-19 risks: an epistemological framework for ethical health technology assessment of risk in vaccine supply chain infrastructures Health Technol. (Berl)., pp. 1–9, Jun. 2021, doi: 10.1007/s12553-021-00565-3
- Radanliev, Petar., and De Roure, David. Epistemological and Bibliometric Analysis of Ethics and Shared Responsibility—Health Policy and IoT Systems Sustainability, vol. 13, no. 15, 2021, doi: 10.3390/su13158355
- Radanliev, Petar., De Roure, David., Maple, Carsten., and Ani, Uchenna. Methodology for integrating artificial intelligence in healthcare systems: learning from COVID-19 to prepare for Disease X AI Ethics 2021, vol. 1, pp. 1–8, Oct. 2021, doi: 10.1007/S43681-021-00111-X
- Radanliev, Petar., and De Roure, David. Alternative mental health therapies in prolonged lockdowns: narratives from Covid-19 Heal. Technol. 2021, pp. 1–7, Aug. 2021, doi: 10.1007/S12553-021-00581-3
News articles in technical magazines
- Radanliev, Petar., De Roure, David., and Van Kleek, Max. Cyber-risks from Using IoT Devices for Managing COVID-19 IEEE IoT Newsletter, 2021
- Radanliev, Petar., Roure, Dave De., and De Roure, David. Covid-19 and cloud technologies: All-Cloud IT Operating Model for pandemic management – Part 2 IEEE Future Directions, Jan-2021
- Radanliev, Petar, Cyber Risk from IoT Devices and Networks IEEE Internet of Things Newsletter, 2020
- Radanliev, Petar., and De Roure, David. Cloud technologies: All-Cloud IT Operating Model IEEE Future Directions, 2020
Most Recent Publications
Super-forecasting the ‘technological singularity’ risks from artificial intelligence
Radanliev P, De Roure D, Maple C & Ani U (2023)