Research area in AI: Development of methods for continuous measurement and forecasting of the physical and chemical conditions of lakes. Optimisation of temporal sample scheduling and the spatial distribution of the sensor network, quality control of data series, with AI methods. Short-term (couple of days ahead) forecasting with process and data oriented procedures and with their combination.

Projects related to AI

  • Field measurements, modelling and evaluation supporting the water management plan of Lake Fertő. North-Transdanubian Water Directorate (Interreg).
  • Interaction between spatial and temporal scales in shallow lakes. NKFIH K. Fundamental research grant.
  • Improvement of the water quality of Városligeti-tó, Liget Zrt.
  • Hydrodynamic study of the outlet structure of Lake Balaton at Siófok. General Directorate of Water Management.
  • Integration methodology of the national disaster risk evaluation system. National Directorate General for Disaster Management (KEHOP).
  • Development of an operational flood forecasting system for the Rába river valley. Interreg V-A ATHU.
  • Update of the design flood level of Hungarian rivers, General Directorate of Water Management.
  • Review of the hydraulically possible extreme flood levels of the Danube at the Paks II power plant location, MVM Erbe Zrt.
  • Hydrodynamic support of the flood conveyance management plans of NW and N Hungarian rivers. Water Directorates.
  • Hydrodynamics study of the opening of flood retention reservoir inlet structures in the Middle Tisza River, VIZITERV Consult Kft.