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: Proceedings of the 5th IFAC symposium on fault detection, supervision and safety of technical processes. SAFEPROCESS 2003 Washington.
MTA SZTAKI, Budapest, pp. 43.
In: MicroCAD-2003. Nemzetközi tudományos konferencia. Miskolc, 2003.
In: Proceedings of the 4th IFAC Symposium on Robust Control Design.
Computers in Industry, Elsevier Science (Vol. 5)., pp. 281-297.
In: 4th IFAC symposium on robust control design. ROCOND-2003. Milan, 2003.
In: 7th IEEE conference on computational complexity, ICCC 2003. Siófok.
MTA SZTAKI, Budapest, pp. 19.
LECTURE NOTES IN COMPUTER SCIENCE, 2906, pp. 444-453.
Production Systems and Information Engineering, A publication of the University of Miskolc (Vol. 1)., pp. 107-124.