Co-PI of Wireless Underwater Power Transfer for AUVs: Optimization via Metamaterials funded by NOAA.
PI of XSEDE supercomputer allocation of 4.6 million SU’s for Developing Stochastic Reduced-Order Models for Thermal Components, funded by NSF.
PI of XSEDE supercomputer allocation of 1.1 million SU’s for Developing Stochastic Reduced-Order Models for Thermal Components, funded by NSF.
First place poster presentation 2010-Mechanical Engineering graduate student conference, Louisiana State University.
Ph.D. in Mechanical Engineering, Louisiana State University, 2013
M.Sc. in Applied Mathematics, Louisiana State University, 2013
M.Sc. in Mechanical Engineering, University of Tehran, 2006
B.Sc. in Mechanical Engineering, University of Tehran, 2003
Donello, M., Palkar, G., Naderi, M.H., Del Rey Fernandez, D.C., & Babaee, H. (2023). Oblique projection for scalable rank-adaptive reduced-order modelling of nonlinear stochastic partial differential equations with time-dependent bases. PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, 479(2278), 20230320.The Royal Society. doi: 10.1098/rspa.2023.0320.
Naderi, M.H., & Babaee, H. (2023). Adaptive sparse interpolation for accelerating nonlinear stochastic reduced-order modeling with time-dependent bases. COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 405, 115813.Elsevier. doi: 10.1016/j.cma.2022.115813.
Patil, P., & Babaee, H. (2023). Reduced-Order Modeling with Time-Dependent Bases for PDEs with Stochastic Boundary Conditions. SIAM-ASA JOURNAL ON UNCERTAINTY QUANTIFICATION, 11(3), 727-756.Society for Industrial & Applied Mathematics (SIAM). doi: 10.1137/21M1468097.
Ashtiani, S.Z., Malik, M.R., & Babaee, H. (2022). Scalable in situ compression of transient simulation data using time-dependent bases. JOURNAL OF COMPUTATIONAL PHYSICS, 468, 111457.Elsevier. doi: 10.1016/j.jcp.2022.111457.
Donello, M., Carpenter, M.H., & Babaee, H. (2022). COMPUTING SENSITIVITIES IN EVOLUTIONARY SYSTEMS: A REAL-TIME REDUCED ORDER MODELING STRATEGY. SIAM JOURNAL ON SCIENTIFIC COMPUTING, 44(1), A128-A149.Society for Industrial & Applied Mathematics (SIAM). doi: 10.1137/20M1388565.
Gourianov, N., Lubasch, M., Dolgov, S., van den Berg, Q.Y., Babaee, H., Givi, P., Kiffner, M., & Jaksch, D. (2022). A quantum-inspired approach to exploit turbulence structures. Nat Comput Sci, 2(1), 30-37.Springer Nature. doi: 10.1038/s43588-021-00181-1.
Sarabian, M., Babaee, H., & Laksari, K. (2022). Physics-Informed Neural Networks for Brain Hemodynamic Predictions Using Medical Imaging. IEEE Trans Med Imaging, 41(9), 2285-2303.Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/TMI.2022.3161653.
Meng, X., Babaee, H., & Karniadakis, G.E. (2021). Multi-fidelity Bayesian neural networks: Algorithms and applications. JOURNAL OF COMPUTATIONAL PHYSICS, 438, 110361.Elsevier. doi: 10.1016/j.jcp.2021.110361.
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. doi: 10.1016/j.cma.2021.113882.
Arrué, P., Toosizadeh, N., Babaee, H., & Laksari, K. (2020). Low-Rank Representation of Head Impact Kinematics: A Data-Driven Emulator. Front Bioeng Biotechnol, 8, 555493.Frontiers. doi: 10.3389/fbioe.2020.555493.
Babaee, H., Bastidas, C., DeFilippo, M., Chryssostomidis, C., & Karniadakis, G.E. (2020). AMultifidelity Framework and Uncertainty Quantification for Sea Surface Temperature in the Massachusetts and Cape Cod Bays. EARTH AND SPACE SCIENCE, 7(2).American Geophysical Union (AGU). doi: 10.1029/2019EA000954.
Patil, P., & Babaee, H. (2020). Real-time reduced-order modeling of stochastic partial differential equations via time-dependent subspaces. JOURNAL OF COMPUTATIONAL PHYSICS, 415, 109511.Elsevier. doi: 10.1016/j.jcp.2020.109511.
Babaee, H. (2019). An observation-driven time-dependent basis for a reduced description of transient stochastic systems. Proc Math Phys Eng Sci, 475(2231), 20190506.The Royal Society. doi: 10.1098/rspa.2019.0506.
Raissi, M., Babaee, H., & Givi, P. (2019). Deep learning of turbulent scalar mixing. PHYSICAL REVIEW FLUIDS, 4(12), 124501.American Physical Society (APS). doi: 10.1103/PhysRevFluids.4.124501.
Raissi, M., Babaee, H., & Karniadakis, G.E. (2019). Parametric Gaussian process regression for big data. COMPUTATIONAL MECHANICS, 64(2), 409-416.Springer Nature. doi: 10.1007/s00466-019-01711-5.
Laksari, K., Kurt, M., Babaee, H., Kleiven, S., & Camarillo, D. (2018). Mechanistic Insights into Human Brain Impact Dynamics through Modal Analysis. Phys Rev Lett, 120(13), 138101.American Physical Society (APS). doi: 10.1103/PhysRevLett.120.138101.
Zhang, D., Babaee, H., & Karniadakis, G.E. (2018). STOCHASTIC DOMAIN DECOMPOSITION VIA MOMENT MINIMIZATION. SIAM JOURNAL ON SCIENTIFIC COMPUTING, 40(4), A2152-A2173.Society for Industrial & Applied Mathematics (SIAM). doi: 10.1137/17M1160756.
Babaee, H., Choi, M., Sapsis, T.P., & Karniadakis, G.E. (2017). A robust bi-orthogonal/dynamically-orthogonal method using the covariance pseudo-inverse with application to stochastic flow problems. JOURNAL OF COMPUTATIONAL PHYSICS, 344, 303-319.Elsevier. doi: 10.1016/j.jcp.2017.04.057.
Babaee, H., Farazmand, M., Haller, G., & Sapsis, T.P. (2017). Reduced-order description of transient instabilities and computation of finite-time Lyapunov exponents. Chaos, 27(6), 063103.AIP Publishing. doi: 10.1063/1.4984627.
Babaee, H., & Sapsis, T.P. (2016). A minimization principle for the description of modes associated with finite-time instabilities. Proc Math Phys Eng Sci, 472(2186), 20150779.The Royal Society. doi: 10.1098/rspa.2015.0779.
Babaee, H., Perdikaris, P., Chryssostomidis, C., & Karniadakis, G.E. (2016). Multi-fidelity modelling of mixed convection based on experimental correlations and numerical simulations. JOURNAL OF FLUID MECHANICS, 809, 895-917.Cambridge University Press (CUP). doi: 10.1017/jfm.2016.718.
Alvergue, L., Babaee, H., Gu, G., & Acharya, S. (2015). Feedback Stabilization of a Reduced-Order Model of a Jet in Crossflow. AIAA JOURNAL, 53(9), 2472-2481.American Institute of Aeronautics and Astronautics (AIAA). doi: 10.2514/1.J053295.
Zheng, X., Babaee, H., Dong, S., Chryssostomidis, C., & Karniadakis, G.E. (2015). A phase-field method for 3D simulation of two-phase heat transfer. INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER, 82, 282-298.Elsevier. doi: 10.1016/j.ijheatmasstransfer.2014.11.052.
Babaee, H., & Acharya, S. (2014). A HYBRID STAGGERED/SEMISTAGGERED FINITE-DIFFERENCE ALGORITHM FOR SOLVING TIME-DEPENDENT INCOMPRESSIBLE NAVIER-STOKES EQUATIONS ON CURVILINEAR GRIDS. NUMERICAL HEAT TRANSFER PART B-FUNDAMENTALS, 65(1), 1-26.Taylor & Francis. doi: 10.1080/10407790.2013.827012.
Babaee, H., Acharya, S., & Wan, X. (2014). Optimization of Forcing Parameters of Film Cooling Effectiveness. JOURNAL OF TURBOMACHINERY-TRANSACTIONS OF THE ASME, 136(6), 061016.ASME International. doi: 10.1115/1.4025732.
Babaee, H., Wan, X., & Acharya, S. (2014). Effect of Uncertainty in Blowing Ratio on Film Cooling Effectiveness. JOURNAL OF HEAT TRANSFER-TRANSACTIONS OF THE ASME, 136(3), 031701.ASME International. doi: 10.1115/1.4025562.
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.College Station, TX. doi: 10.1016/j.combustflame.2021.111684.
Wang, Z., Karniadakis, G.E., Chalfant, J., Chryssostomidis, C., & Babaee, H. (2017). High-Fidelity Modeling and Optimization of Conjugate Heat Transfer in Arrays of Heated Cables. In 2017 IEEE Electric Ship Technologies Symposium (ESTS), (pp. 557-563).Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/ests.2017.8069337.
Babaee, H., Chalfant, J., Chryssostomidis, C., & Sanfiorenzo, A.B. (2015). System-Level Analysis of Chilled Water Systems Aboard Naval Ships. In 2015 IEEE Electric Ship Technologies Symposium (ESTS), (pp. 370-375).Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/ests.2015.7157921.
Yang, S., Ordonez, J.C., Vargas, J.V.C., Babaee, H., Chalfant, J., & Chryssostomidis, C. (2015). Comprehensive System-Level Thermal Modeling of All-Electric Ships: Integration of SMCS and Vemesrdc. In 2015 IEEE Electric Ship Technologies Symposium (ESTS), (pp. 251-255).Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/ests.2015.7157898.
Babaee, H., Acharya, S., & Wan, X. (2013). Optimization of Forcing Parameters of Film Cooling Effectiveness. In Volume 3B: Heat Transfer, 3, (p. v03bt13a055).ASME International. doi: 10.1115/gt2013-95636.
Babaee, H., Wan, X., & Acharya, S. (2013). Effect of Uncertainty in Blowing Ratio on Film Cooling Effectiveness. In Volume 3: Gas Turbine Heat Transfer; Transport Phenomena in Materials Processing and Manufacturing; Heat Transfer in Electronic Equipment; Symposium in Honor of Professor Richard Goldstein; Symposium in Honor of Prof. Spalding; Symposium in Honor of Prof. Arthur E. Bergles, 3, (p. v003t20a002).ASME International. doi: 10.1115/ht2013-17159.
Babaee, H., & Acharya, S. (2012). A Symmetric Finite Difference Discretization of Pressure-Poisson Equation on Curvilinear Grids. In 42nd AIAA Fluid Dynamics Conference and Exhibit 2012.American Institute of Aeronautics and Astronautics (AIAA). doi: 10.2514/6.2012-3068.
Babaee, H., & Acharya, S. (2012). A Symmetric Finite Difference Discretization of Pressure-Poisson Equation on Curvilinear Grids. In 42nd AIAA Fluid Dynamics Conference and Exhibit.American Institute of Aeronautics and Astronautics. doi: 10.2514/6.2012-3068.
Babaee, H., & Acharya, S. (2011). A Semi-Staggered Numerical Procedure for the Incompressible Navier-Stokes Equations on Curvilinear Grids. In Volume 6: Fluids and Thermal Systems; Advances for Process Industries, Parts A and B, 6(PARTS A AND B), (pp. 927-936).ASME International. doi: 10.1115/imece2011-64224.