Mariza Konidi

Research & Innovation Communication and Project Management Specialist, INTRASOFT International

Mrs. Mariza Konidi (F) is a Communication & Project Management Specialist in the Research & Innovation Department of INTRASOFT International. Currently, she has been involved in leading communication and dissemination related activities as well as implementing and managing research projects. Notable examples are: H2020 HiReach (Communication Manager), H2020 CUREX (Communication Manager), H2020 PROPHESY (Dissemination Manager and Assistant Project Manager), H2020 SecureIoT (Dissemination Manager and Assistant Project Manager), POWERPOOR (Project Manager). Mariza brings more than 10 years’ experience, with strong background in marketing, communication and project management and before joining INTRASOFT, she worked as a Marketing & Sales Network Support Manager. Mariza holds a BSc in Industrial Management & Technology from the University of Piraeus and an MSc in Marketing & Communication with New Technologies from Athens University of Economics and Business.

Mariza is speaking at

Focus Track 2 - Technology, Platforms and Trust
November 5, 2020
11:00 am - 12:00 pm


  • Spyros Evangelatos (Speaker) Senior Research & Innovation Specialist, INTRASOFT International
  • Daniel Calvo Alonso (Speaker) Head of AI, Data & Robotic unit, ATOS Research and Innovation
  • Jürgen Neises (Speaker) R&I Subsidies Program Manager, Fujitsu
  • Mariza Konidi (Parallel session chair) Research & Innovation Communication and Project Management Specialist, INTRASOFT International


This session will serve to familiarize the audience with the SecureIoT solution and how data analytics and machine learning can assist in enhancing cybersecurity.

The objectives of this session are:

  • To reveal the power of data in terms of prediction of IoT systems behaviour.
  • To demonstrate cybersecurity solutions targeting IoT systems (Platforms, Applications) from the identification of trustworthy behavior of IoT devices to the establishment of secure IoT Services.
  • To facilitate compliance to cybersecurity and privacy regulations.
  • To convince the audience of the imminent application of data analytics as a cybersecurity solution for the future.

The IoT landscape is evolving to decentralized systems of systems implying multiplatform interactions and including powerful autonomous smart objects and embedded systems at the edge. This new reality is introducing challenging issues in terms of security and privacy as we have seen in recent attacks which may even imply safety concerns in critical domains. This presentation will cover the advances brought by SecureIoT project regarding the usage of Artificial Intelligence and data analytics to exploit information collected from the multiple levels of IoT systems in an efficient, non-intrusive and intelligent fashion. The outcomes of the Machine Learning models are being used to feed a set of security services that cover the requirements of multiple stakeholders: risk assessment, compliance auditing and support to developers. Predictive analytics will also be discussed as a valuable tool towards secure cyber-physical systems, especially covering three diverse domains such as autonomous vehicles, socially assistive robots and industry 4.0.


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