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
In: 9th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes. Preprints IFAC, Paris, pp. 368-373.
Magyar Múzeumok
In: MED 2015, 23rd Mediterranean Conference on Control and Automation IEEE, Torremolinos, pp. 861-866.
In: A gépészeti szakmakultúra szerepe a hazai gazdaság fenntartható fejlődésében Gépipari Tudományos Egyesület, Budapest, pp. 6-10.
In: KÉPAF 2015, 2015.01.27-2015.01.30, Kecskemét.
In: Application and Theory of Petri Nets and Concurrency Lecture Notes in Computer Science (9115) Springer International Publishing, Switzerland, pp. 309-328. ISSN 0302-9743
CONCURRENCY AND COMPUTATION: PRACTICE AND EXPERIENCE, 27 (16)., pp. 4398-4411. ISSN 1532-0626
In: Controllare Necesse Est Széchenyi University Press, Győr, pp. 125-128.
MATHEMATICAL MODELLING OF NATURAL PHENOMENA, 10 (3)., pp. 105-123. ISSN 0973-5348
BMC bioinformatics, 16 (1)., pp. 108-108. ISSN 1471-2105