Bio

Milan Toma, Ph.D. is an assistant professor in the Department of Mechanical Engineering at NYIT College of Engineering and Computing Sciences. His areas of expertise include image processing, high-performance computing, computational mechanics/biomechanics, biomechanical/biomedical engineering, Trefftz elements, hydrated soft tissue, impact biomechanics, head and brain injuries, and cardiovascular fluid-structure interaction.

After Toma received his Ph.D. in Engineering Science from Technical University of Lisbon in Portugal, he worked as a project researcher in Altair Engineering France in Paris, with the focus on computational analysis of brain injuries. From Paris, he moved to Japan, where he worked as a research assistant professor at Tokyo University and at a research institute RIKEN, where he developed numerical algorithms for cardiovascular fluid-structure interaction simulations. After three years in Japan, he moved to the Kingdom of Saudi Arabia where he worked in the field of computational combustion at King Abdullah University of Science and Technology as a visiting researcher. After one year in KSA, he moved to USA where he worked at a cardiovascular fluid mechanics laboratory under the guidance of Dr. Ajit Yoganathan, a member of National Academy of Engineering, at Georgia Institute of Technology.​

Assistant Professor of Mechanical Engineering Milan Toma

Assistant Professor of Mechanical Engineering Milan Toma on head impact simulations and helmet design.

Assistant Professor of Mechanical Engineering Milan Toma on head impact simulations and helmet design.

Recent Projects/Research

  • Computational Fluid Dynamics
  • Fluid-Structure Interaction
  • Computational Cardiovascular Simulations
  • Brain Damage Simulations
  • Head Impact Simulations

Publications

  • Toma, M., Nguyen, P.D.H. (2019). Coup-Contrecoup Brain Injury: Fluid-Structure Interaction Simulations. International Journal of Crashworthiness. doi: 10.1080/13588265.2018.1550910.
  • Toma, M., Nguyen, P.D.H. (2018). Fluid-structure interaction analysis of cerebrospinal fluid with a comprehensive head model subject to a rapid acceleration and deceleration. Brain Injury, 32(12), 1576-1584. doi: 10.1080/02699052.2018.1502470.
  • Toma, M. (2018). Predicting Concussion Symptoms Using Computer Simulations. In: Arai K., Bhatia R., Kapoor S. (eds) Proceedings of the Future Technologies Conference (FTC) 2018. FTC 2018. Advances in Intelligent Systems and Computing, vol 880. Springer, Cham. doi: 10.1007/978-3-030-02686-8_42. Toma, M. (2017).
  • The Emerging Use of SPH in Biomedical Applications, Significances of Bioengineering & Biosciences, 1(1), SBB.000502. doi: 10.31031/SBB.2017.01.000502.
  • Toma, M., Bloodworth, C.H., Einstein, D.R., Pierce, E.L., Cochran, R.P., Yoganathan, A.P., & Kunzelman, K.S. (2016). High Resolution Subject-Specific Mitral Valve Imaging and Modeling: Experimental and Computational Methods. Journal of Biomechanics and Modelling in Mechanobiology, 15(6), 1619–1630. doi: 10.1007/s10237-016-0786-1.
  • Toma, M., Bloodworth, C.H., Pierce, E.L., Einstein, D.R., Cochran, R.P., Yoganathan, A.P., & Kunzelman K.S. (2016). Fluid-Structure Interaction Analysis of Ruptured Mitral Chordae Tendineae. Annals of Biomedical Engineering, Online ahead of print. doi: 10.1007/s10439-016-1727-y.
  • Toma, M., Einstein, D.R., Bloodworth, C.H., Cochran, R.P., Yoganathan, A.P., & Kunzelman K.S. (2016). Fluid-Structure Interaction and Structural Analyses using a Comprehensive Mitral Valve Model with 3D Chordal Structure. International Journal for Numerical Methods in Biomedical Engineering, Online ahead of print. doi: 10.1002/cnm.2815.
  • Toma, M., Jensen, M.O., Einstein, D.R., Yoganathan, A.P., Cochran, R.P., & Kunzelman, K.S. (2016). Fluid-Structure Interaction Analysis of Papillary Muscle Forces Using a Comprehensive Mitral Valve Model with 3D Chordal Structure. Annals of Biomedical Engineering, 44(4), 942-953. doi: 10.1007/s10439-015-1385-5.
  • Toma, M., Oshima, M., Takagi, S. (2016). Decomposition and parallelization of strongly coupled fluid-structure interaction linear subsystems based on the Q1/P0 discretization. Journal of Computers & Structures, 173, 84-94. doi: 10.1016/j.compstruc.2016.06.001.

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