Keynote speakers

Simon Burton

Robert Bosch GmbH, Stuttgart Area, Germany


Challenges and Advancements in Arguing the Safety of Autonomous Driving


Over the last few years, there has been increasing hype surrounding the topic of automated driving and associated technologies such as machine learning. These technologies have the potential to radically decrease the number of road accidents as well as introducing significant convenience and ecological benefits.  Although much technical progress has been made, the challenges of validating the safety of such systems is delaying their widespread introduction. This presentation describes the difficulties in arguing the safety of automated driving systems and the use of machine learning in particular. A framework is presented for creating an assurance case for such systems and a summary of recent advancements in this area is given. The presentation covers safety assurance from a systems engineering perspective and also addresses how such a perspective can be used to support wider ethical discussions associated with the technologies. The talk will conclude with an outlook on further activities both within academic research as well as industrial collaboration that are required in order to create a sufficient level of trust in these paradigm changing technologies.



Alexander Romanovsky

Newcastle University, Newcastle upon Tyne, UK

Alexander (Sascha) Romanovsky is a Professor of Computing Science with the School of Computing. He is now the Principle Investigator of the EPSRC STRATA platform grant on Layers for Structuring Trustworthy Ambient Systems (2016-20) and the Co-investigator of the EPSRC PRiME program grant on Power-efficient, Reliable, Many-core Embedded systems (2013-18). He is leading several projects supported by railway industry. He is a member of the editorial boards of Computer Journal, IEEE Transactions on Reliability and International Journal of Critical Computer-Based Systems. Prof Romanovsky is a visiting professor at the National Institute of Informatics (NII, Tokyo, Japan).




Lydia Chen

Lydia Chen

TU Delft, Delft, Netherlands


Machine Learning for Dependability Management