Tamas Jozsa

Dr. Tamas Jozsa is a Lecturer in Computational Fluid Dynamics at Cranfield University's Centre for Computational Engineering Sciences. He joined Cranfield in early 2023 after a research fellowship at Amsterdam University Medical Centres and postdoctoral/mentoring roles at the University of Oxford (2018-2023) for the EU HORIZON2020 INSIST project. His academic journey began with a Mechanical Engineering BSc from Budapest University of Technology and Economics (2012), followed by MSc studies at Cranfield University and Budapest University of Technology and Economics. His career trajectory spans positions from PhD research (University of Edinburgh 2014-) in marine coating technology to medical applications of CFD in stroke research.

• Education
  • Mechanical Engineering BSc (BUT 2012)
  • MSc Computational Fluid Dynamics (Cranfield 2014)
  • MSc Mechanical Engineering Modelling (BUT 2014)

Dr. Jozsa's work bridges two major domains: aerodynamic drag reduction (marine coatings, wind tunnels) and biomedical CFD applications for stroke research. His research spans:

• Biomedical Engineering
  • Cerebral blood flow modeling
  • In silico clinical trials
  • Osmotherapy for stroke treatment
  • Microthrombi impact analysis
• Computational Fluid Dynamics
  • Lattice Boltzmann methods
  • Porous media modeling
  • Wall turbulence control
  • High-fidelity simulations
• Clinical Integration
  • INSIST EU project
  • Medical imaging data assimilation
  • Physiological parameter quantification
  • Stroke treatment optimization

His peer-reviewed publications demonstrate expertise in:

• Developing and validating CFD models for clinical applications
• Combining 1D arterial flow with 3D tissue perfusion models
• Applying lattice Boltzmann methods to medical problems
• Quantifying hypoxia and tissue damage in stroke patients
• Optimizing brain oxygen transport through computational models
• Validating simulation frameworks for regulatory applications

Dr. Jozsa's collaborative network spans institutions including:

• Amsterdam UMC
• University of Oxford
• University of Edinburgh
• European partners in the INSIST consortium
• International collaborators in medical imaging and computational physiology