Group website: https://jainka.github.io
Kartik Jain is an Assistant Professor of Biofluid Dynamics at the Engineering Fluid Dynamics group of the University of Twente. Kartik acquired his masters in Mechanical Engineering with a specialisation in Simulation Sciences from the RWTH Aachen University, Germany with a thesis on thrombosis modeling done in the laboratory of Prof. Sabine Roller. After that he moved with Prof. Roller to work as a researcher at the University of Siegen in Germany and obtained a doctoral degree (Dr.-Ing.) under her supervision. His doctoral dissertation explored and characterized transition to turbulence in biofluid applications like blood flow in intracranial aneurysms and cerebrospinal fluid flow in the spinal canal. Before moving to Europe, he acquired a Bachelor degree in Control Engineering from Kurukshetra University, India and then worked as a software developer in a leading IT company.
After completion of his PhD he spent two years as a Postdoc at the Institute of Physiology of the University of Zürich, Switzerland, where his research focused on computational modeling of renal hemodynamics and renal hypoxia within the Swiss national center of competence in research NCCR Kidney.CH. He thereafter returned to Germany to work as a senior scientist at the Institute for Computational Physics of the University of Stuttgart with Prof. Christian Holm. There his research focused on modeling of bacterial dynamics and biofilm lifecycle in confined geometries within the DFG collaborative research center SFB1313.
- 09-2019 -- Present: Assistant Professor of Biofluid Dynamics, University of Twente, The Netherlands
- 08-2018 -- 08-2019: Senior Scientist, Institute for Computational Physics, University of Stuttgart, Germany
- 08-2016 -- 07-2018: Postdoctoral Researcher, Institute of Physiology, University of Zürich, Switzerland
- 02-2013 -- 07-2016: Research Scientist, University of Siegen, Germany
I am interested in intrinsic (bio) physics of physiological flows like blood flow in the cardiovascular system, circulation of the cerebrospinal fluid (CSF) in the ventricular system and flow in the microvasculature. My research group aims to understand physiological phenomena and pathophysiology of conditions through the use of numerical simulations and high performance computing. The vision is to bridge the gap between clinicians, engineers and biologists through the use of mathematics and computer science as languages that connect these disciplines.
UT Research Information System
Google Scholar Link
Courses Academic Year 2021/2022
Courses Academic Year 2020/2021
- The adaptable poly engineering simulator (APES) framework available as open source software project for free download and use.
- I have several topics to offer for master thesis projects. Please contact me in case interested.
- Projects Simulating Transitional Hemodynamics in Intracranial Aneurysms at Extreme Scale and Highly Resolved Simulations of Hemodynamics in Intracranial Aneurysms are featured by the Gauss Center for Supercomputing
- Musubi LBM solver featured as one of the most scalable solvers by the Research Center Jülich, Germany
- Research on Renal Hypoxia showcased at the Scientifica 2017