About us

MTA SZTAKI is one of the largest IT research institutes in the Central European region with 250+ employees. Among its other achievements, the institute plays a key role in cyber-physical systems related research, development, and training as an EU Centre of Excellence in Information Technology and Automation, as the leader of the Ipar 4.0 (Industry 4.0) National Technology Platform, and as the founding member of the national Artificial Intelligence Coalition. The Laboratory of Parallel and Distributed Systems (LPDS) in MTA SZTAKI has been working as a project member in all phases of the European Grid infrastructure project (EGEE/EGI) serving as a regional training/application porting centre and Virtual Team leader. With the organized international trainings and summer schools in several project (EGEE, ICEAGE, CoreGrid, SEE-GRID, DEGISCO, SCI-BUS, EOSC-hub, CloudiFacturing) the laboratory provides knowledge transfer, and targets new user communities from science and industry. LPDS has long running experience in development of workflow-oriented, interoperability and orchestration software methods/tools, and also in establishing and operating production-level Grid and Cloud infrastructures for different purposes and partners.

Know more about us at http://sztaki.hu.

Main role in the project

The main role of SZTAKI is mostly technical:

  • Provide expertise to and manage the implementation of common core services in WP6 for the underwater, atmospheric and astro/planetary research communities.
  • Provide expertise for cloud-based platforms in the areas of complex analytics/visualisation and AI including machine/deep learning.
  • Provide open-source tools and operate services that enable the efficient orchestration and delivery of the new NEANIAS services on EOSC.

Provide expertise concerning EOSC-hub SZTAKI is to provide training, dissemination and exploitation related efforts for the above listed technical activities.

EU Flag  NEANIAS is a Research and Innovation Action funded by European Union under Horizon 2020 research and innovation programme via grant agreement No.863448.