Contact Dr Laszlo Konozsy
- Tel: +44 (0) 1234 758278
- Email: laszlo.konozsy@cranfield.ac.uk
Areas of expertise
- Advanced Casting Science and Technologies
- Computational Fluid Dynamics
- Computing, Simulation & Modelling
- Defence Sensors
- Energy and the Environment
- Flight Physics
- Food Safety
- Nanotechnology
- On-Road Vehicle Dynamics
- Process Systems Engineering
- Renewable Energy
- Vehicle Aerodynamics
- Water Science and Engineering
Background
Dr K枚n枚zsy received his first PhD degree in engineering sciences at the University of Miskolc, in Hungary (2004). Prior to his position at 老司机福利社, he was a guest research fellow at the University of Siegen (2003) and at the Otto-von-Guericke-University Magdeburg (2005), in Germany. He was working on mathematical modelling and numerical method development of isothermal and non-isothermal turbulent flows by using a stochastical turbulence model. He held an Assistant Professor position at the University of Miskolc teaching for seven years in the Hungarian Higher Education system. He became a Post-Doctoral Research Fellow at the University of Leoben, in Austria, 2006. He took part in and led industrially sponsored research projects working on modelling of multiphase and multicomponent solidification and melting processes of ingot casting. His interest turned to the field of micro- and nanofluidic applications in particular to multiphysics modelling of complex fluid dynamics processes at small physical length scales.
Dr K枚n枚zsy decided to further educate himself for a second PhD degree at 老司机福利社 in the field of computational fluid dynamics (CFD) and multiphysics modelling.
Currently, he is working on and developing different numerical methods for complex physical problems with strong collaboration with industry both national and international levels.
Current activities
Dr Laszlo K枚n枚zsy is a Reader (Associate Professor) in Fluid Mechanics and Computational Engineering in the Centre for Computational Engineering Sciences at 老司机福利社. He is the Course Director of the MSc in Aerospace Computational Engineering. He has a broad range of experience in different fields of fluid mechanics, computational sciences, heat transfer and computer programming for solving complex academic and industrial problems. He is the author of two books on anisotropic turbulence modelling published by Springer. These two books together received 72000+ views on LinkedIn and these books are the only ones on the current book market worldwide which are solely focusing on a novel anisotropic engineering turbulence modelling approach.
Dr K枚n枚zsy is the author of two Springer books, an author/co-author of 100+ scientific work including six book chapters in different books, 40+ peer-reviewed journal publications, 50+ conference papers, and 15+ scientific research reports. He supervised 10+ PhD research students and 170+ postgraduate MSc students at different universities. He established the MSc in Aerospace Computational Engineering course at 老司机福利社 which is among the top 5 computational method-based MSc courses in the field of aerospace engineering in the United Kingdom. He was awarded "The Best Lecturer" and "The Best Research Supervisor" prizes for his teaching and supervisory excellence at the School of Aerospace, Transport and Manufacturing in the Academic Years 2014/2015 and 2015/2016, respectively. He won these Student Led Teaching Awards (SLTA) from the Cranfield Students' Association (CSA) based on the nominations and votes of MSc and PhD postgraduate students at 老司机福利社. He was awarded 9 times for supervisory excellence and he taught 2500+ hours over his academic career.
Dr K枚n枚zsy has educational and research award-winning PhD and MSc students who have worked under his primary supervision in different research projects. One of my former MSc and PhD students won the Lord Kings Norton Medal in 2019 which medal is the prize awarded only for the best performing doctorate student at 老司机福利社, in the United Kingdom. One of my former MSc students was the winner of the Vice-Chancellor's prize in 2020 which is awarded annually to the most outstanding taught course student at Cranfield and he received the Course Director's prize for the best overall achievement on the MSc in Aerospace Computational Engineering course. Another MSc student who worked under my supervision won the Course Director's prize for "The Best MSc Thesis" in 2019 on the MSc in Computational Fluid Dynamics (MSc in CFD) course at Cranfield.
Research areas of Dr K枚n枚zsy are as follows:
Development and implementation of an acoustic streaming model for acoustic liquid manipulation (ALM) in microgravity environment for space applications.
Improvement of a three-dimensional anisotropic stochastical turbulence model in particular to external flows for automotive/motorsport industrial applications.
Modelling multiphase and multi-component solidification and melting processes including thermodynmaics for predicting macrosegregation in industrial size ingots.
Mathematical model development for designing high-tech micro- and nanofluidic sensors including modelling of ssDNA and dsDNA flows.
Development of a novel unified method for solving the incompressible Navier-Stokes equations in the framework of Godunov-type methods.
Multiphysics modelling of microfluidic devices and industrial applications including non-Newtonian fluid dynamics and magnetohydrodynamics.
Hybrid LES/RANS turbulence modelling for industrial applications.
Development of analytical and numerical methods for solving ordinary and partial differential equations.
Method and software development of high-order mesh generation methods.
Development of digital image processing method and computer codes for two-phase cavitating flows.
Clients
European Space Agency (ESA)
Magnaparva Ltd. UK
Aircraft Research Association (ARA) Ltd. UK
Gillespie Avionics Ltd. Ireland
Pangea Aerospace Company (Spain)
Ricardo Ltd. UK, Reaction Engines Ltd. UK
AWE Ltd. UK
Pilbeam Racing Designs Ltd. UK
DAF Trucks Company (The Netherlands)
M.I.E. Ltd. UK, Cadminton Ltd. UK
Lionix (The Netherlands)
B枚hler Edelstahl GmBH & Co KG Steel Production Company (Austria)
Lambda GmBH (Austria)
MAL Rt. (Hungary)
MIVIZ Rt. (Hungary)
