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: ICT4JUSTICE workshop. Thessaloniki, 2008..
JOURNAL OF COMBINATORIAL THEORY SERIES A, 118, pp. 2066-2070. ISSN 0097-3165
In: KÉPAF 2011. 8th conference of the Hungarian Association for Image Processing and Pattern Recognition, 2011-01-25 - 2011-01-28, Szeged, Magyarország.
In: Innováció és fenntartható felszíni közlekedés, IFFK 2016 Magyar Mérnökakadémia (MMA), Budapest, pp. 170-175.
In: VIII. Magyar Számítógépes Grafika és Geometria Konferencia Neumann János Számítógép-tudományi Társaság (NJSZT), Budapest, pp. 27-32.
In: ICIP 2011. 18th IEEE international conference on image processing, 2011-09-11 - 2010-11-30, Brussels, Belgium.
In: ICPR 2008. 19th international conference on pattern recognition. Tampa, 2008..
In: Lecture notes in computer science, Berlin; Heidelberg,.
JOURNAL OF GEOMETRY, 101, pp. 31-50. ISSN 0047-2468
In: 12th IEEE International Conference on Control and Automation, ICCA 2016 IEEE, New York, pp. 707-713.