Yiannis Papadopoulos

Professor Yiannis Papadopoulos

Professor

Faculty and Department

  • Faculty of Science and Engineering
  • School of Computer Science

Summary

Professor Papadopoulos has pioneered work on model-based dependability assessment and evolutionary optimisation of complex engineering systems known as Hierarchically Performed Hazard Origin and Propagation Studies (HiP-HOPS). He co-authored EAST-ADL, an emerging automotive architecture description language.

These technologies have gained wide academic recognition and have been successfully transferred to the automotive, shipping and other industries, where they have been commercialised and successfully deployed in design and engineering processes. He is currently developing technologies for self-certification of cyberphysical and autonomous systems.

More information about his academic and industrial projects can be found on his personal website @ https://yipapadopoulos.wixsite.com/yiap

Recent outputs

View more outputs

Journal Article

Explaining black boxes with a SMILE: Statistical Model-agnostic Interpretability with Local Explanations

Aslansefat, K., Hashemian, M., Walker, M., Akram, M. N., Sorokos, I., & Papadopoulos, Y. (2023). Explaining black boxes with a SMILE: Statistical Model-agnostic Interpretability with Local Explanations. IEEE Software, https://doi.org/10.1109/MS.2023.3321282

Towards Improving Confidence in Autonomous Vehicle Software: A Study on Traffic Sign Recognition Systems

Aslansefat, K., Kabir, S., Abdullatif, A., Vasudevan Nair, V., & Papadopoulos, Y. (in press). Towards Improving Confidence in Autonomous Vehicle Software: A Study on Traffic Sign Recognition Systems. Computer,

Computational Intelligence for Safety Assurance of Cooperative Systems of Systems

Kabir, S., & Papadopoulos, Y. (2020). Computational Intelligence for Safety Assurance of Cooperative Systems of Systems. Computer, 53(12), 24-34. https://doi.org/10.1109/MC.2020.3014604

SafeML: Safety Monitoring of Machine Learning Classifiers Through Statistical Difference Measures

Aslansefat, K., Sorokos, I., Whiting, D., Tavakoli Kolagari, R., & Papadopoulos, Y. (2020). SafeML: Safety Monitoring of Machine Learning Classifiers Through Statistical Difference Measures. Lecture notes in computer science, 12297, 197-211. https://doi.org/10.1007/978-3-030-58920-2_13

An Integrated Approach to Support the Process-Based Certification of Variant-Intensive Systems

Bressan, L., de Oliveira, A. L., Campos, F., Papadopoulos, Y., & Parker, D. (2020). An Integrated Approach to Support the Process-Based Certification of Variant-Intensive Systems. Lecture notes in computer science, 12297 LNCS, 179-193. https://doi.org/10.1007/978-3-030-58920-2_12

Lead investigator

Project

Funder

Grant

Started

Status

Project

H2020 - ICT - DEIS

Funder

EC European Commission

Grant

£461,398.00

Started

1 February 2017

Status

Complete

Project

Secure and Safe Multi-Robot Systems

Funder

EC European Commission

Grant

£482,634.00

Started

1 January 2021

Status

Complete

Project

DREAM: Data-driven Reliability-centered Evolutionary Asset Manager

Funder

EDF Energy

Grant

£30,000.00

Started

1 September 2018

Status

Complete

Co-investigator

Project

Funder

Grant

Started

Status

Project

The Alan Turing Institute - Post-Doctoral Enrichment Awards

Funder

The Alan Turing Institute

Grant

£2,000.00

Started

1 March 2022

Status

Complete

Postgraduate supervision

Professor Papadopoulos welcomes applications in all areas of his research. The key requirements for PhD applicants are a good degree, strong software engineering skills, and an exploratory mind. Much of the work has extensive industrial applicability and is done in collaboration with large industrial organisations which are technology leaders in their field.

Despite the many applications of this work in the engineering of technologically advanced systems, such as electric and semi-autonomous cars, the work involved in those PhD projects does not require any knowledge of these engineering domains and is mainly focused on computer science, and the development and implementation of novel algorithms and tools using standard computer equipment and programming environments.

Completed PhDs

Luis Azevedo (2015), Scalable Allocation of Safety Integrity Levels in Automotive Systems

Zhibao Mian (2014), Model Transformation for Multi-objective Architecture Optimisation for Dependable Systems

Shawulu Nggada (2013), Multi-objective System Optimisation with Respect to Availability, Maintainability and Cost

Nidhal Mahmud (2012), Dynamic Model-based Safety Analysis: from State Machines to Temporal Fault Trees

Amer Dheedan (2012), Distributed On-line Safety Monitor Based on Safety Assessment Model

Septavera Sharvia (2011), Integrated Application of Compositional and Behavioural Safety Analysis

David Parker (2010), Multi-objective Optimisation of Safety-Critical Hierarchical Systems

Ian Wolforth (2010), Specification and Use of Component Failure Patterns

Martin Walker (2009), Pandora - A Logic for the Qualitative Analysis of Temporal Fault Trees

Current PhD supervisions

Ioannis Sorokos (submitted 2017), Generation of Model-Based Safety Arguments from Automatically Allocated Safety Integrity Levels

Luis Torrao (expected 2019), Timaeus - Tetrahedral Illuminated Media Augmented Scupltures Art Therapy Studio

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