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Arman Pazouki

Arman Pazouki's Profile Photo

Director Scientific Applications

Arman leads the scientific applications group, who is accountable for researcher-facing functions of scientific computing, and responsible for design and delivery of services to support researchers’ use of computing algorithms, infrastructure, and data. Prior to joining RCAC, Arman led the research computing group at Northwestern University, a career he embarked on after serving as an Assistant Professor at California State University, Los Angeles. Arman’s research prior to joining research computing focused on multi- and many-body dynamics and relied heavily on modeling, simulation, and high-performance computing. More recently, he has been researching the research computing and data workforce.


  • PhD Mechanical Engineering (2014), University of Wisconsin-Madison, Madison, WI
  • MS, Engineering Mechanics, University of Wisconsin-Madison, Madison, WI
  • MS, Mechanical Engineering, Sharif University of Technology, Iran
  • B.S, Mechanical Engineering, University of Tehran, Iran


  • Co-Chair, CaRCC Career Arcs Working Group (2021-present)
  • Program Committee, Coalition for Academic Scientific Computing (2019-2021)
  • Symposium Organizer, Contact and Interface Dynamics, ASME IDETC/CIE (2016-2019)
  • Symposium Organizer, Granular Media Modeling and Simulation Techniques, WCCM (2018)

Selected Publications

  • J. Rieser, P. Schiebel, A. Pazouki, F. Qian, Z. Goddard, A. Zangwill, D. Negrut, D. Goldman, Dynamics of scattering in undulatory active collisions, Physical Review E, 2019.
  • M. Rakhsha, A. Pazouki, R. Serban, D. Negrut, Using a half-implicit integration scheme for the SPH-based solution of fluid-solid interaction problems, Computer Methods in Applied Mechanics and Engineering, 2019.
  • B. Song, A. Pazouki, T. Pöschel, Instability of smoothed particle hydrodynamics applied to Poiseuille flows, Computers & Mathematics with Applications, 2018.
  • H. Mazhar, A. Pazouki, P. Jayakumar, M. Rakhsha, D. Negrut, On the use of a differential variational approach to handling fluid-solid interaction problems via smoothed particle hydrodynamics, Journal of Computational Physics, 371: 92-110, 2018.
  • A. Pazouki, M. Kwarta, K. Williams, W. Likos, R. Serban, P. Jayakumar, D. Negrut, Compliant contact versus rigid contact – a comparison in the context of granular dynamics, Physical Review E, 2017.
  • A. Tasora, R. Serban, H. Mazhar, A. Pazouki, D. Melanz, J. Fleischmann, M. Taylor, H. Sugiyama, and D. Negrut, Chrono: An open source multi-physics dynamics engine, ISBN: 9783319403601, Springer, 2015.
  • A. Pazouki, D. Negrut, Numerical investigation of microfluidic sorting of microtissues, Computers and Mathematics with Applications, 2015.
  • A. Pazouki and D. Negrut, A numerical study of the effect of particle properties on the radial distribution of suspension in pipe flow, Computers and Fluids, 2015.
  • A. Pazouki, R. Serban, and D. Negrut, A Lagrangian-Lagrangian framework for the simulation of rigid and deformable bodies in fluid, Multibody Dynamics: Computational Methods and Applications, ISBN: 9783319072593, Springer, 2014.
  • H. Mazhar, T. Heyn, D. Melanz, A. Pazouki, A. Bartholomew, D. Negrut, Paramsothy Jayakumar, and Alessandro Tasora, Accelerating multibody simulation and visualization GPU computing, Advances in Computers and Information in Engineering Research, ASME, 2014.
  • A. Pazouki R. Serban, and D. Negrut, A high performance computing approach to the simulation of fully resolved coupled fluid-multibody dynamics systems with free surfaces, Archive of Mechanical Engineering, 2014.
  • H. Mazhar, T. Heyn, A. Pazouki, D. Melanz, A. Seidl, A. Bartholomew, A. Tasora, and D. Negrut, Chrono: A parallel multi-physics library for rigid-body, flexible-body, and fluid dynamics, Mechanical Sciences, 2013.
  • A. Pazouki, H. Mazhar, and D. Negrut, Parallel collision detection of ellipsoids with applications in large scale multibody dynamics, Mathematics and Computers in Simulation, 2012.
  • D. Negrut, A. Tasora, M. Anitescu, H. Mazhar, T. Heyn, and A. Pazouki, Solving large multibody dynamics problems on the GPU, GPU Gems 2. ISBN: 9780123859631, Morgan Kaufmann Publishers, 2011.

Selected Presentations