Directions
Study of algorithms and AI.
Integration of computing and physical processes in manufacturing and logistics.
Researching and applying mathematical techniques to optimise and learn from data.
The National Laboratories coordinated by HUN-REN SZTAKI aim to strengthen domestic R&D and boost the competitiveness of the economy with innovative, world-class solutions.
The goal of this Platform is to support Internet-based economy and innovation by stepping into a new era of technology. Read more
Scientific cloud services for research projects. Read more
Scientific Data Repository for the Hungarian Research Community. Read more
CIRP ANNALS-MANUFACTURING TECHNOLOGY, 58 (1)., pp. 417-420. ISSN 0007-8506
CIRP ANNALS-MANUFACTURING TECHNOLOGY, 58 (2)., pp. 681-700. ISSN 0007-8506
IFAC PROCEEDINGS VOLUMES, 42 (4)., pp. 720-727. ISSN 1474-6670
MTA SZTAKI, Budapest.
International Journal of Production Economics, 118, pp. 282-291.
IFAC PAPERS ONLINE, 50 (1)., pp. 2744-2749. ISSN 2405-8963
In: 15th IMEKO TC10 Workshop on Technical Diagnostics in Cyber-Physical Era [s. n.], Budapest, pp. 164-169.
In: Advances in Data Mining : 17th Industrial Conference, ICDM 2017 ibai-publishing, Leipzig, pp. 146-151. ISSN 1864-9734
In: 11. Paderborner Frühjahrstagung. Nachhaltigkeit in flexiblen Produktions- und Liefernetzwerken. Paderborn, 2009..
In: INCOM 2009. 13th IFAC symposium on information control problems in manufacturing. Preprints. Moscow, 2009..