Prof. Dr. Ferenc Hegedüs

Profil

Derzeitige StellungProfessor W-2 und Äquivalente
FachgebietStrömungsmechanik,Chemische und Thermische Verfahrenstechnik,Numerik, Optimierung, Simulation
Keywordsbubble clusters, GPU programming, coupled ODE systems, acoustic cavitation, sonochemistry
Auszeichnungen

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

Aktuelle Kontaktadresse

LandUngarn
OrtBudapest
Universität/InstitutionBudapest University of Technology and Economics
Institut/AbteilungDepartment of Hydrodynamic Systems

Gastgeber*innen während der Förderung

Dr. Robert MettinIII. Physikalisches Institut - Biophysik, Georg-August-Universität Göttingen, Göttingen
Beginn der ersten Förderung01.09.2019

Programm(e)

2019Humboldt-Forschungsstipendien-Programm für erfahrene Forschende

Publikationen (Auswahl)

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