Joint Research for Product Development

Being at the forefront of research, using it in our daily corporate life, is crucial to stay on top our product development. We want to extend our field of research and further contribute to the academia as well as the industry. Because of this, Ekkono is involved in a number of joint research projects.

IVVES: Industrial grade verification of evolving systems

The use of AI and complex evolving systems (ES), i.e. systems that rapidly change will grow in the coming years. This is due to faster iteration cycles in development or the systems’ capability to self-adapt and learn. As an example, it will grow significantly in automation, computation and novel digital services. Targeting the challenges in verification and validation of AI and evolving systems, IVVES will systematically develop Artificial Intelligence approaches for robust and comprehensive, industrial-grade V&V of “embedded AI”. This means machine learning for control of complex, mission-critical evolving systems and services covering the major industrial domains in Europe.

Sponsor: Vinnova (European ITEA3)

Time frame: October 2019 – September 2022

Partners: The IVVES consortium consists of 32 partners spread over five countries. For example ABB, Bombardier, RISE – Research institute of Sweden, Ekkono Solutions, Philips Healtcare, University of Helsinki and Centre de recherche informatqiue de Montréal.

DMRAIL: Digitization of maintenance for a sustainable transport infrastructure

Digitally connecting the transportation infrastructure facilitates the application of a vast number of emerging technologies. For example autonomous vehicles, predictive maintenance, traffic flow control, and green wave transports. The railway network is a critical part of a multimodal transportation system that crosses paths with road and marine transport networks.

The DMrail project aims at improving existing state-of-practice maintenance systems. The target is to increase the operational uptime of rail infrastructure. To do this, we will implement Innovative methods for continuous health monitoring, data driven decision making, and efficient allocation of maintenance resources. DMrail addresses the digitalization dimension of the InfraSweden 2030 and brings us one step closer to a connected transportation vision.

Sponsor: Vinnova (Infra Sweden 2030)

Time frame: June 2019 – May 2022

Partners: Bombardier Transportation Sweden, Ekkono Solutions, Järnvägsklustret, RISE Research Institutes of Sweden, and KTH Royal Institute of Technology