DESSERT’2022

12th International IEEE Conference
Dependable Systems, Services and Technologies
Greece, Athens, December 9-11, 2022
hybrid mode (i.e., using remote audio/video support
and as an in-person event)

IEEE
  • Conference Programme

  • Conference Programme is available here.

  • Deadlines

    Submission (long/short paper, up to 4/7 pages): November, 9, 2022 November, 26, 2022

    Submission (special session): November 5, 2022 November 15, 2022

    Notification of special session acceptance: November 6, 2022 November 16, 2022

    Notification of paper acceptance: November 30, 2022

    Final manuscript: November 29, 2022

    Registration and payment: November 29, 2022

    Program draft publication: December 2, 2022

    Conference date: December 9-11, 2022

  • Contacts

    Department 503, DESSERT’2022 Organizing Committee,
    National Aerospace University n. a. N. E. Zhukovsky “KhAI”,
    Chkalov str., 17, Kharkiv, 61070, Ukraine
    Olena Surynovych
    e-mail: dessert@csn.khai.edu

    www: dessert-conf.org

Peter Popov

Dr Peter Popov is Reader in Systems Dependability at City, University of London.

https://www.city.ac.uk/people/academics/peter-popov

Probabilistic Models for Safety Assessment of Autonomous Vehicles

Peter was born in Bulgaria, graduated in Computer Engineering from the National Technical University in Kiev (KPI), Ukraine, and received his doctorate (Candidate of Sciences) from the same University. Before joining the Centre for Software Reliability (CSR) at City, University of London, in 1997 he worked for Bulgarian Academy of Science in Sofia, Bulgaria.

He was a visiting scientist at the Coordinated Science Laboratory (CSL) at the University of Illinois at Urbana Champaign (USA), at Duke University (USA), at LAAS – CNRS in Toulouse, France and at the University Federico II, in Naples, Italy. He worked and consulted in the areas of computer and software dependability in several counties in Europe and in the USA.

His research interests include dependability assessment of computer-based systems. He is known for his work on probabilistic modelling for dependability assessment, especially of fault tolerant software using “design diversity”.

In the last 10 years he has been active in model-based assessment of the resilience of large and complex interdependent critical infrastructures against both accidental faults and cyber threats. More recently Peter applied his expertise in probabilistic modelling to tackle co-engineering of critical systems when multiple, often contradicting, concerns such as safety and security are of interest. His current research, which started as part of the Intel Collaborative Research Institute on Safe Automated Vehicles (ICRI-SAVe), is focused on probabilistic modelling for safety assessment of autonomous vehicles and on cyber-resilience of Connected and Autonomous Vehicles (CAVs).

Peter attracted significant funding grants from the UK EPSRC, the National Cyber Security Centre (NCSC), EU, Innovate UK and private funding bodies.

He is a member of the IFIP WG 10.4 on Dependable Computing and Fault Tolerance and of the WG on Safety and Security set up in by the UK National Cyber-Security Centre (NCSC) to develop “Safety and Security: Code of Practice”.

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