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
IEEE OPEN JOURNAL OF SIGNAL PROCESSING, 6, pp. 118-128. ISSN 2644-1322
OPTICS AND LASERS IN ENGINEERING, 16, pp. 1-15.
In: 2016 International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM) IEEE, Piscataway, pp. 1-5.
In: 24th European Signal Processing Conference, EUSIPCO 2016 IEEE, New York, pp. 2161-2165.
In: Pattern Recognition, 1992. Vol.II. Conference B: Pattern Recognition Methodology and Systems, Proceedings of the 11th IAPR International Conference.
ERCIM NEWS (106)., pp. 55-56. ISSN 0926-4981
INTERNATIONAL JOURNAL OF CIRCUIT THEORY AND APPLICATIONS, 20 (5)., pp. 589-599.
MTA SZTAKI, Budapest.
In: Innováció és fenntartható felszíni közlekedés, IFFK 2016 Magyar Mérnökakadémia (MMA), Budapest, pp. 170-175.