Publications
Hajgató, G., Gyires-Tóth B. and Paál, G. (2021) "Reconstructing Nodal Pressures in Water Distribution Systems with Graph Neural Networks", Under review. arXiv: 2104.13619
Hajgató, G., Paál, G. and Gyires-Tóth B. (2020) "Deep Reinforcement Learning for Real-Time Optimization of Pumps in Water Distribution Systems", J Water Res Plan Man, 146(11), pp. (04020079)1-11. DOI: 10.1061/(ASCE)WR.1943-5452.0001287.
Hajgató, G., Gyires-Tóth, B. and Paál, G. (2019) "Accelerating Convergence of Fluid Dynamics Simulations with Convolutional Neural Networks", Period Polytech Mech Eng, 63(3), pp. 230-239. DOI: 10.3311/PPme.14134.
Projects
Model development for explainable predictive maintenance, 2021-2022, BME FIEK, research and innovation, lead researcher.
Sentiment analysis with natural language processing and deep learning, 2022, National Bank of Hungary, research and innovation, researcher.
Hydrodynamic shape optimization of an S-Tube impeller, 2015-2018, Grundfos Holding A/S, research and innovation, researcher.
Conferences
Conference on Modelling Fluid Flow (CMFF’18), 17th event of the International Conference Series on Fluid Flow Technologies, 2018, Budapest, speaker.