In recent years, it has been reported that cardiovascular diseases such as Valvular Heart Disease (VHD) and Chronic Venous Insufficiency (CVI) have become widespread in industrialized countries. If the veins in the leg cannot properly take the blood back to the heart, CVI occurs which is due to the incompetency of the venous valves. Valvular Heart Disease is described as dysfunction or incompetence in one of the four heart valves. In literature, it is seen in clinical observations that there is a need for a more realistic thrombogenesis and mechanical resistance model of prosthesis valves and a more specific hemodynamic-based index/marker for CVI patients. In our project, more realistic designs of prosthesis heart valves (PHV) and venous valves (PVV) are targeted based on a computational hemodynamic model. Because of the high computational complexity of the simulation models, they should be run on high-capacity multiprocessor computer systems using parallel algorithms. Within the scope of this study, to design a more optimal patient-specific valve, various hemodynamic properties and indexes will be examined through the advanced models, and this design will be produced by using the bio-printer method by selecting appropriate biomaterials (polymers) which possess the properties of being biocompatible, long-lasting, minimized clot formation.


Our contribution as a large-scale computational fluid dynamics research group:

  • Development of new “in-silico” techniques in the design of personalized bioprosthetic valves,
  • Production of structural mechanical-based solutions to extend the life of valves,
  • Development of hemodynamic indexes for the early diagnosis of diseases.
  • Production of the designed valves with bio-printers.

    Contribution of project elements to the project:

  • Emre Cenk ERSAN: Model Algorithm preparation and coding
  • Reza DARYANI: Model preparation and hemodynamic analysis
  • Orkun ÜSTÜN: Data preparation and "post-process" of the results obtained
  • Furkan CÖMERT: Data preparation and post-processing of the obtained results

Project website: