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
MTA SZTAKI, Budapest
In: 2019 18th European Control Conference (ECC) European Control Association (EUCA), Napoli, pp. 3138-3143.
In: Advances in model-based predictive control. Conference proceedings. Oxford, 1993. Vol. 1..
In: MATHMOD 2006. 5th Vienna symposium on mathematical modelling. Proceedings. Vienna, 2006. Vol. 2..
COMPUTERS & CHEMICAL ENGINEERING, 19 (suppl.)., pp. S465-S470.
MTA SZTAKI, Budapest.
In: DYCORD+'95. 4th IFAC symposium on dynamics and control of chemical reactors, distillation columns, and bath processes. Preprints. Copenhagen, 1995.
In: Proceedings of the 8th international PhD workshop on systems and control a young generation viewpoint. Balatonfüred, 2007..
JOURNAL OF PROCESS CONTROL, 8 (4)., pp. 251-263.
Mathematics and Computers in Simulation, 79 (4)., pp. 999-1009.