headshot of Arash Nouri Gheimassi

Arash Nouri Gheimassi

Visiting Research Assistant Professor
@aarashnouri Mechanical Engineering & Materials Science


PhD, University of Pittsburgh, 2017

M.S., University of Pittsburgh, 2016

M.S., Sharif University of Technology, 2012

B.S., Sharif University of Technology, 2010

Ramezanian, D., Nouri, A.G., & Babaee, H. (2021). On-the-fly reduced order modeling of passive and reactive species via time-dependent manifolds. COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 382, 113882.Elsevier BV. doi: 10.1016/j.cma.2021.113882.

Borazjani, I., Akbarzadeh, A., Sammak, S., Drozda, T., Quinlan, J.R., Drummond, J.P., Jahanbakhshi, R., Madnia, C.K., Validi, A., Schock, H., Jaberi, F., Ashgriz, N., Chen, S., Nikulin, V., Savtchenko, S., Senocak, I., Xiao, C.N., Komperda, J., Mashayek, F., Wenzel, E.A., Garrick, S.C., Aitzhan, A., Givi, P., & Nouri, A.G. (2020). Modeling and Simulation of Turbulent Mixing and Reaction. In Livescu, D., Nouri Gheimassi, A., Battaglia, F., & Givi, P. (Eds.). Springer Singapore. doi: 10.1007/978-981-15-2643-5.

Nouri, A.G., Givi, P., & Livescu, D. (2019). Modeling and simulation of turbulent nuclear flames in Type Ia supernovae. PROGRESS IN AEROSPACE SCIENCES, 108, 156-179.Elsevier BV. doi: 10.1016/j.paerosci.2019.04.004.

Hanafizadeh, P., Sattari, A., Hosseini-Doost, S.E., Nouri, A.G., & Ashjaee, M. (2018). Effect of orifice shape on bubble formation mechanism. Meccanica, 53(10), 2461-2483.Springer Science and Business Media LLC. doi: 10.1007/s11012-018-0835-1.

Nouri, A.G., Nik, M.B., Givi, P., Livescu, D., & Pope, S.B. (2017). Self-contained filtered density function. PHYSICAL REVIEW FLUIDS, 2(9).American Physical Society (APS). doi: 10.1103/PhysRevFluids.2.094603.

Nouri, A.G., Sammak, S., Pisciuneri, P.H., & Givi, P. (2017). Langevin Simulation of Turbulent Combustion. In Combustion for Power Generation and Transportation. (pp. 39-53).Springer Singapore. doi: 10.1007/978-981-10-3785-6_3.

Hanafizadeh, P., Parhizgar, T., & Nouri Gheimassi, A. (2015). Analysis of Micro-recuperators in Small-sized Gas Turbines–Manufacturing Potential of Iran. Energy Equipment and Systems, 3, 1-12. doi: 10.22059/ees.2015.13892.

Samie, M., Nouri Gheimassi, A., Salari, A., & Behshad Shafii, M. (2015). Two-Dimensional Free Convection Heat Transfer Below a Horizontal Hot Isothermal Flat Strip. Journal of Heat Transfer, 137(5).ASME International. doi: 10.1115/1.4029742.

Sammak, S., Nouri Gheimassi, A., & Givi, P. (2015). Quantum Computing and Its Potential for Turbulence Simulations. In Mathematical Modeling of Technological Processes, Danaev, N., Shokin, Y., & Darkhan, A.Z. (Eds.). (p. 124).Springer. doi: 10.1007/978-3-319-25058-8_13.

Hanafizadeh, P., Momenifar, M., Geimassi, A.N., & Ghanbarzadeh, S. (2014). VOID FRACTION AND WAKE ANALYSIS OF A GAS-LIQUID TWO-PHASE CROSS-FLOW. Multiphase Science and Technology, 26(4), 261-286.Begell House. doi: 10.1615/multscientechn.v26.i4.10.

Hanafizadeh, P., Saidi, M.H., Nouri Gheimasi, A., & Ghanbarzadeh, S. (2011). Experimental investigation of air–water, two-phase flow regimes in vertical mini pipe. Scientia Iranica, 18(4), 923-929.Elsevier BV. doi: 10.1016/j.scient.2011.07.003.

Hanafizadeh, P., Parhizgar, T.P., & Nouri Gheimassi, A. Analysis of micro-recuperators in small-sized gas turbines–manufacturing potential of Iran. doi: 10.22059/ees.2015.13892.

Sammak, S., Nouri Gheimassi, A., & Givi, P. Quantum Computing and Its Potential for Turbulence Simulations. doi: 10.1007/978-3-319-25058-8_13.

Nouri, A.G., Babaee, H., Givi, P., Chelliah, H.K., & Livescu, D. (2022). Skeletal model reduction with forced optimally time dependent modes. In COMBUSTION AND FLAME, 235, (p. 111684).Elsevier BV.College Station, TX. doi: 10.1016/j.combustflame.2021.111684.

Nouri Gheimassi, A., Nik, M., Givi, P., Livescu, D., & Pope, S. (2017). A Self-Contained Filtered Density Function. In NASA/UMich Symposium on Advances in Turbulence Modeling.Ann Arbor, MI.

Sammak, S., Nouri, A.G., Brazell, M.J., Mavriplis, D.J., & Givi, P. (2017). Discontinuous Galerkin-Monte Carlo Solver for Large Eddy Simulation of Compressible Turbulent Flows. In 55th AIAA Aerospace Sciences Meeting.American Institute of Aeronautics and Astronautics. doi: 10.2514/6.2017-0982.