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Statistics to improve cyber-physical systems design

Liliana Cucu-Grosjean, StatInf le

Lieu: virtual

Abstract: empirical statistics are often used in the industry to confirm intuitions, but less to provide arguments to prove a cyber-physical systems design. Most of time, this is justified by existing misconceptions while using statistical approaches, while their correct understanding could provide a powerful framework for ensuring compositionable time properties of cyber-physical systems. From program level to system level, the presentation details how the design of an embedded system may benefit from a better utilisation of statistics while providing means to prove the expected results.

Bio: Liliana Cucu-Grosjean leads the Kopernic team at INRIA, Paris and she is a co-founder of the StatInf start-up. Author of more than 50 papers in recognized journal and conferences, her research topic concerns real-time scheduling, timing analysis and the use of probabilistic and statistical methods for cyber-physical systems, in general. She has been serving the community as PC or track chair for prestigious conferences (IEEE RTSS, DATE, RTCSA, RTNS or WFCS), or as member of steering committees like IEEE Technical Committee on Real-Time Systems where she has chaired the diversity sub-committee from 2016 to 2019. At national level, she is the co-founder and the current co-chair of Inria Equal Opportunities Committee.