Kartik JainPost Doctoral Researcher University of Zürich
Institute of Physiology
Winterthurerstr. 190, Y23 J 74
8057 Zürich +41 (0) 44 635 50 firstname.lastname@example.org
Dr. Kartik Jain is a post doctoral researcher in the Interface Group at the Institute of Physiology of the University of Zurich. His main research interests are computational modelling of transitional, turbulent and physiological flows on high performance supercomputers. His current research focus is on computational modeling of flow and transport in the kidney.
Kartik obtained a Doctoral degree in Mechanical Engineering (Dr.-Ing.) with a distinction (summa cum laude) from the University of Siegen in Germany, prior to which he acquired a masters degree in Mechanical Engineering with a specialisation in Simulation Sciences from the RWTH Aachen University, Germany. His doctoral dissertation explored transition to turbulence in hemodynamics of intracranial aneurysms and hydrodynamics of the cerebrospinal fluid in the spinal canal. The core work of his thesis employs massively parallel computations using Lattice Boltzmann Method to explore the onset of flow-transition in physiological flows at minutest spatial and temporal scales. 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.
Dr.-Ing. (Ph.D.), University of Siegen, Germany, 2016
M.Sc., RWTH Aachen University, Germany, 2012
B.Tech, Kurukshetra University, India, 2007
Selected peer reviewed journal publications
1. Kartik Jain, Geir Ringstad, Per-Kristian Eide and Kent-Andre Mardal. Direct numerical simulation of transitional hydrodynamics of the cerebrospinal fluid in Chiari I malformation – the role of cranio-vertebral junction. International Journal for Numerical Methods in Biomedical Engineering, 2016
2. Kartik Jain, Jingfeng Jiang, Charles Strother and Kent-Andre Mardal. Transitional hemodynamics in intracranial aneurysms – Comparative velocity investigations with high resolution lattice Boltzmann simulations, normal resolution ANSYS simulations and MR imaging. Medical Physics, 43:6186, 2016
3. Kartik Jain, Sabine Roller and Kent-Andre Mardal. Transitional flow in intracranial aneurysms– a space and time refinement study below the Kolmogorov scales using lattice Boltzmann method. Computers & Fluids, 127:36–46, 2016.
Peer reviewed conference proceedings
1. Kartik Jain and Kent-Andre Mardal. Exploring the critical reynolds number for transition in intracranial aneurysms – highly resolved simulations below Kolmogorov scales. (0):560 – 563, 2015. 2015 Computational and Mathematical Biomedical Engineering.
2. Kartik Jain, Simon Zimny, Harald Klimach, and Sabine Roller. Thrombosis modeling in stented cerebral aneurysms with lattice Boltzmann method. In Proceedings of the 26th Nordic Seminar on Computational Mechanics, pages 206–209, Oslo, Norway, 2013.
3. Harald Klimach, Kartik Jain, and Sabine Roller. End-to-end parallel simulations with apes. In Parallel Computing: Accelerating Computational Science and Engineering (CSE), volume 25 of Advances in Parallel Computing, pages 703–711, Munich, Germany, September 2014. IOS Press.
IOS Press Ebooks link
4. Vetle Christoffer Frostelid, Kartik Jain, Atle Jensen, and Kent-Andre Mardal. Experimental investigation of transitional flow in cerebral aneurysms. 3(0):674 – 677, 2017. 2017 Computational and Mathematical Biomedical Engineering.
5. Jiaxing Qi, Kartik Jain, Harald Klimach, and Sabine Roller. Performance evaluation of the LBM solver Musubi on various HPC architectures. In Advances in Parallel Computing: On the Road to Exascale, volume 27 of Advances in Parallel Computing, pages 807–816. IOS Press, March 2016.
IOS Press Ebooks link
6. Simon Zimny, Bastien Chopard, Orestis Malaspinas, Eric Lorenz, Kartik Jain, Sabine Roller, and Jörg Bernsdorf. A multiscale approach for the coupled simulation of blood flow and thrombus formation in intracranial aneurysms. Procedia Computer Science, 18:1006–1015, 2013.
Open access link
Codes and selected media
1. The end-to-end massively parallel simulation tool chain, the APES framework on bitbucket
2. Musubi LBM solver showcased by FZ Jülich as one of the highest scaling codes on Juqueen, running at almost 1 million concurrent threads
3. The project Simulating Transitional Hemodynamics in Intracranial Aneurysms at Extreme Scale listed by the Gauss Center for Supercomputing
Kartik Jain. Direct numerical simulation of transitional pulsatile stenotic flow using Lattice Boltzmann Method. No. e1939. PeerJ PrePrints, 2015.
Open access link