Background
In am interested in the broad area of computational engineering: the design and analysis of engineering systems aided by computers. The focus of my research is in fluid mechanics and numerical analysis with applications ranging from hypersonic flight to bio-hazard dispersion in urban environment. I am also leading an effort at Stanford on Uncertainty Quantification in computational science with the objective of increasing confidence in numerical simulations of complex systems.
Education
- Ph.D. Mechanical Engineering, Politecnico di Bari, Italy, 2005
- M.S. Aeronautical Engineering, University of Naples, Italy, 1993
Academic Honors and Awards
- Presidential Early Career Award in Science and Engineering (PECASE), November 2010.
- Best paper at the Automotive CFD Conference, Frankfurt, Germany, July 2007.
- Terman Fellow, Stanford University, March 2007.
Selected Journal Publications
- The Discrete Green's function paradigm for two-way coupled Euler-Lagrange simulation. J.A.K. Horwitz, G. Iaccarino, J.K. Eaton and A. Mani. Journal of Fluid Mechanics, 931(25), 2021. (URL) (BIB)
- A benchmark for particle-laden turbulent duct flow: A joint computational and experimental study. M. Esmaily, L. Villafane, A.J. Banko, G. Iaccarino, J.K. Eaton and A. Mani. International Journal of Multiphase Flow, 132:103410, 2020. (URL) (BIB)
- A framework for characterizing structural uncertainty in large-eddy simulation closures. L. Jofre, S.P. Domino and G. Iaccarino. Flow, Turbulence and Combustion, 100(2):341-363, 2018. (URL) (BIB)
- A scalable geometric multigrid solver for nonsymmetric elliptic systems with application to variable-denstiy flows. M. Esmaily, L. Jofre, A. Mani and G. Iaccarino. Journal of Computational Physics, 357:142-158, 2018. (URL) (BIB)
- Multi-fidelity uncertainty quantification strategies for large-scale multiphysics applications: PSAAP II particle-based solar energy receiver. L. Jofre, G. Geraci, H.R. Fairbanks, A. Doostan and G. Iaccarino. AIP Conference Proceedings, 1979(140002), 2018. (URL) (BIB)
- Data-free and data-driven RANS predictions with quantified uncertainty. W.N. Edeling, G. Iaccarino and P. Cinnella. Flow, Turbulence and Combustion, 100(3):593-616, 2018. (URL) (BIB)
- Eigenspace perturbations for uncertainty estimation of single-point turbulence closures. G. Iaccarino, A.A. Mishra and S. Ghili. Physical Review Fluids, 2(024605):1-12, 2017. (URL) (BIB)
- Uncertainty estimation for Reynolds-Averaged Navier-Stokes predictions of high-speed aircraft nozzle jets. A.A. Mishra and G. Iaccarino. AIAA Journal, 55(11):3999-4004, 2017. (URL) (BIB)
- A generalized multi-resolution expansion for uncertainty propagation with application to cardiovascular modeling. D.E. Schiavazzi, A. Doostan, and G. Iaccarino and A.L. Marsden. Computater Methods in Applied Mechanics and Engineering, 314:196-221, 2017. (URL) (BIB)
- A low-rank control variate for multilevel Monte Carlo simulation of high-dimensional uncertain systems. H.R. Fairbanks, A. Doostan, C. Ketelsen and G. Iaccarino. Journal of Computational Physics, 341:121-139, 2017. (URL) (BIB)
- Study of the flow unsteadiness in the human airway using large eddy simulation. J.A. Bernate, T.S. Geisler, S. Padhy, E.S.G. Shaqfeh and G. Iaccarino. Physical Review Fluids, 2(083101):1-18, 2017. (URL) (BIB)
- Least squares approximation of polynomial chaos expansion with optimized grid points. S. Ghili and G. Iaccarino. SIAM Journal of Scientific Computing, 39(5):1991-2019, 2017. (URL) (BIB)
Current Ph.D. Students
Ph.D. Graduates