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: MIM'07. IFAC workshop on manufacturing modelling, management and control. Budapest, 2007..
CONSTRAINTS, 16 (1)., pp. 100-123. ISSN 1383-7133
In: Proceedings of the 2nd Workshop on Planning and Robotics (PlanRob2014) AAAI Press, Portsmouth, pp. 172-181.
Engineering Applications of Artificial Intelligence, 21 (5)., pp. 691-697.
In: Seventeenth International Working Seminar on Production Economics, 2012-02-20 - 2012-02-24, Innsbruck, Ausztria.
CIRP ANNALS-MANUFACTURING TECHNOLOGY, 65 (1)., pp. 451-454. ISSN 0007-8506
In: 38th CIRP international seminar on manufacturing systems. Florianópolis, 2005..
In: In Proc. of the 16th International Symposium on Inventories.
In: Proceedings of the 23th International Conference on Automated Planning and Scheduling (ICAPS 2013), 2013-06-10 - 2013-06-14, Roma, Amerikai Egyesült Államok.
In: 2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL) IEEE, Piscataway, pp. 132-139.