Prof. Dr. Ferenc Hegedüs

Profile

Academic positionAssociate Professor, Senior Lecturer, Reader
Research fieldsFluid Mechanics,Chemical and Thermal Process Engineering,Numerical Analysis, Optimization, Simulation
Keywordsbubble clusters, GPU programming, coupled ODE systems, acoustic cavitation, sonochemistry
Honours and awards

2022: NRDI Fund for Young Researchers, National Research, Development and Innovation Office

2022: NVIDIA Academic Hardware Grant Program, NVIDIA Corporation

2021: Bolyai+ Fellowship for Higher Education Young Teacher, Research, National Research, Development and Innovation Office

2020: Bolyai+ Fellowship for Higher Education Young Teacher, Research, National Research, Development and Innovation Office

2019: Bolyai Bolyai Emléklap, Hungarian Academy of Sciences

2019: Humboldt Research Fellowship for Experienced Researchers, Alexander von Humboldt Foundation

2019: János Bolyai Research Scholarship, Hungarian Academy of Sciences

2018: KNORR-BREMSE, BME Scholarship Program, Knorr-Bremse Rail Systems Budapest Ltd.

2017: KNORR-BREMSE, BME Scholarship Program, Knorr-Bremse Rail Systems Budapest Ltd.

2016: Proposals for Grants to Support the Initiation of International Collaboration, Deutsche Forschungsgemeinschaft

2015: János Bolyai Research Scholarship, Hungarian Academy of Sciences

Current contact address

CountryHungary
CityBudapest
InstitutionBudapest University of Technology and Economics
InstituteDepartment of Hydrodynamic Systems

Host during sponsorship

Dr. Robert MettinIII. Physikalisches Institut - Biophysik, Georg-August-Universität Göttingen, Göttingen
Start of initial sponsorship01/09/2019

Programme(s)

2019Humboldt Research Fellowship Programme for Experienced Researchers

Publications (partial selection)

2022Nagy, D. and Plavecz, L. and Hegedűs, F.: The art of solving a large number of non-stiff, low-dimensional ordinary differential equation systems on GPUs and CPUs. In: Commun. Nonlinear Sci. Numer. Simul., 112, 2022, 106521
2021Hegedűs, F.: Program package MPGOS: Challenges and solutions during the integration of a large number of independent ODE systems using GPUs. In: Commun. Nonlinear Sci. Numer. Simul., 97, 2021, 105732
2020Hegedűs, F. and Krähling, P. and Aron, M. and Lauterborn, W. and Mettin, R. and Parlitz, U.: Feedforward attractor targeting for non-linear oscillators using a dual-frequency driving technique. In: Chaos, 30, 2020, 073123
2020Hegedűs, F. and Klapcsik, K. and Lauterborn, W. and Parlitz, U. and Mettin, R.: GPU accelerated study of a dual-frequency driven single bubble in a 6-dimensional parameter space: The active cavitation threshold. In: Ultrason. Sonochem., 67, 2020, 105067
2020Hegedűs, F. and Krähling, P. and Lauterborn, W. and Mettin, R. and Parlitz, U.: High-performance GPU computations in nonlinear dynamics: an efficient tool for new discoveries. In: Meccanica, 55, 2020, 2493-2504