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
Acta Mathematica Hungarica, 111 (3)., pp. 193-212.
Springer, Berlin, pp. 207-227.
INTERNATIONAL JOURNAL OF CONTEMPORARY MATHEMATICAL SCIENCES, 9 (1)., pp. 25-36. ISSN 1312-7586
Journal of Symbolic Computation, 41, pp. 663-681.
Combinatorics, Probability & Computing, 18 (3)., pp. 309-333.
ANNALES UNIVERSITATIS SCIENTIARUM BUDAPESTINENSIS DE ROLANDO EOTVOS NOMINATAE SECTIO COMPUTATORICA, 42, pp. 249-260. ISSN 0138-9491
In: Proceedings of the 10th Rhine workshop on computer algebra. Basel, 2006..
MTA SZTAKI, Budapest.
In: ISIT 2014, IEEE International Symposium on Information Theory, 2014.06.29-2014.07.04, Honolulu, US.
In: IEEM 2009. IEEE international conference on industrial engineering and engineering management. Hong Kong, 2009..