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
thesis.
ERCIM News (77)., pp. 45-46.
In: Advances in Food Traceability Techniques and Technologies: Improving Quality Throughout the Food Chain Elsevier, Kidlington, pp. 49-65.
Univ. din Oradea, Oradea, pp. 363-368.
Journal of e-Learning and Knowledge Society, 2 (3)., pp. 399-411.
In: MITIP 2010. 12th international MITIP conference. The modern information technology in the innovation processes of the industrial enterprises. Aalborg, 2010..
In: GECCO 2017 - Proceedings of the Genetic and Evolutionary Computation Conference Companion ACM Press, New York, pp. 1511-1512.
In: Intelligent manufacturing systems 2003 (IFAC Proceedings Volumes, 0474-6674).
In: HMS 2008. International workshop on harbour, martime and multimodal logistics modeling and simulation. Campora S. Giovanni, 2008..
PROCEDIA CIRP, 25, pp. 106-113.