Abschnittsübersicht

  • Titel: "Crowdsensing with connected cars and other mobile devices in urban and rural areas"

    Connected vehicles and other mobile personal devices are seen as a potential solution for providing services and applications for safer cities. With increased networking and computing capabilities, connected vehicles and mobile devices can perform challenging inference and learning task to support people's cognition and automate the traffic scenarios. Such intelligent systems demand training data, which can be provided by in-vehicular, in-person and ambient sensors, and external databases. It is currently a challenging open question, how to utilise these multiple real-life data sources in challenging real-time and mobile environment.


    Vortragende: Dr. Ella Peltonen, University of Oulu

    Dr Ella Peltonen is a research scientist with the Center for Ubiquitous Computing, University of Oulu, Finland. She gained her PhD at the University of Helsinki and did her postdoc period at the Insight Centre for Data Analytics, University College Cork, Ireland. In addition, she has undertaken research visits to University of California, Berkeley, US, University of Cambridge, UK, University College London, UK, and University of Melbourne, Australia. Her research focuses on pervasive everyday sensing, edge-native machine learning, and “from data to actions” including ubiquitous recommendation systems and data analytics. Dr Peltonen has been granted Marc Weiser Best Paper Award in the IEEE PerCom 2015, Rising Stars in Networking and Communications 2017 by N2 Women, The European Initiative EPIC Grant 2018, and Nokia Foundation Jorma Ollila Grant 2018. She is a member of the ACM Future of Computing Academy.

    Moderation: Prof. Dr. Daniela Nicklas


    Hinweis: Dieser Vortrag wird auf Englisch stattfinden.

    This Lecture will be in english.