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: 12th IFAC world congress. Preprints. Sydney, 1993. Vol.2..
In: ESCAPE-16 - PSE 2006. 16th European symposium on computer aided process engineering and 9th international symposium on process systems engineering. Garmisch-Partenkirchen, 2006..
In: SYSID-2006. Preprints of the 14th IFAC symposium on system identification. Newcastle, 2006..
MAGYAR KEMIAI FOLYOIRAT, 100 (6)., pp. 251-256.
A Jövő Járműve - Járműipari Innováció (1-2)., pp. 53-56.
In: ACC'94. Proceedings of the 1994 American control conference. Baltimore, 1994. Vol. 2..
MTA SZTAKI, Budapest.
In: Advances in model-based predictive control. Conference proceedings. Oxford, 1993. Vol. 1..
In: Proceedings of the workshop on system identification and control systems in honor of László Keviczky on his 60th birthday. Budapest, 2005..