TONY SAAD portrait
  • Senior Computational Scientist, Institute for Clean and Secure Energy
  • Assistant Professor, Chemical Engineering

Publications

  • Saad T. (date unknown). Some thoughts on the pressure integration requirements of the Navier-Stokes equations. Vol. 44, Fluid Dynamics Research. Accepted, .
  • Maicke B. (date unknown). On the compressible Hart-McClure and Sellars mean flow motions. Vol. 24, Physics of Fluids. Accepted, .
  • Saad T. (date unknown). Rotational flowfields in porous channels with arbitrary headwall injection. (pp. 921-929). Vol. 25, Journal of Propulsion and Power. Accepted, .
  • Saad T. (date unknown). Extension of Kelvin's minimum energy theorem to flows with open regions. 40th AIAA Fluid Dynamics Conference. Accepted, .
  • Saad T. (date unknown). Pressure integration rules and restrictions for the Navier-Stokes equations. 40th AIAA Fluid Dynamics Conference. Accepted, .
  • Saad T. (date unknown). Viscous flows revisited in simulated rockets with radially regressing walls. 47th AIAA/ASME/SAE/ASEE Joint Propulsion Conference and Exhibit 2011. Accepted, .
  • Saad T. (date unknown). Coordinate independent forms of the compressible potential flow equations. 47th AIAA/ASME/SAE/ASEE Joint Propulsion Conference and Exhibit 2011. Accepted, .
  • Maicke B. (date unknown). On the compressible Hart-McClure mean flow motion in simulated rocket motors. 46th AIAA/ASME/SAE/ASEE Joint Propulsion Conference and Exhibit. Accepted, .
  • Saad T. (date unknown). Energy based solutions of the bidirectional vortex with multiple mantles. 45th AIAA/ASME/SAE/ASEE Joint Propulsion Conference and Exhibit. Accepted, .
  • Schmidt J. (date unknown). Large scale parallel solution of incompressible flow problems using Uintah and hypre. (pp. 458-465). Proceedings - 13th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing, CCGrid 2013. Accepted, .
  • Austin Richards (date unknown). A Fast Turbulence Generator using Graphics Processing Units. AIAA Fluid Dynamics Conference, Atlanta, June 2018. Accepted, .
  • Tony Saad (date unknown). An Explicit Variable-Density Projection Method for Low-Mach Reacting Flows on Structured Uniform Grids. AIAA Fluid Dynamics Conference, Atlanta, June 2018. Accepted, .
  • Joshua T. McConnell (date unknown). An Explicit Low-Mach Projection Method for Modeling Flows with Finite-Rate Chemistry. AIAA 2020 Fluid Dynamics Conferences. Accepted, .
  • Mokbel Karam (date unknown). A Framework for Analyzing the Temporal Accuracy of Pressure Projection Methods. AIAA 2019 Computational Fluid Dynamics Conferences. Accepted, .
  • Joshua McConnell (date unknown). McConnell J., Saad, T., Sutherland, J. C., Coupling an explicit lowMach projection scheme to various chemistry models and interphase source terms, 10th US National Combustion Meeting, Maryland, April 23-26, 2017. Accepted, .
  • Mokbel Karam (date unknown). High-Order Pressure Estimates for Projection-Based Navier-Stokes Solvers. Journal of Computational Physics. Accepted, .
  • Brad Peterson (date unknown). Automatic Halo Management for the Uintah GPU-Heterogeneous Asynchronous Many-Task Runtime. International Journal of Parallel Programming. Accepted, .
  • Mokbel Karam (date unknown). BuckinghamPy: A Python software for dimensional analysis. Elsevier. Vol. 16, 100851. Accepted, .
  • Hayden A. Hedworth (date unknown). The effectiveness of drones in measuring particulate matter. Journal of Aerosol Science. Accepted, .
  • Saad T. (date unknown). Wasatch: An architecture-proof multiphysics development environment using a Domain Specific Language and graph theory. Journal of Computational Science. Vol. 17, 639-646. Accepted, .
  • Saad T. (date unknown). Comment on "Diffusion by a random velocity field" [Phys. Fluids 13, 22 (1970)]. Physics of Fluids. Vol. 28. Accepted, .
  • Tony Saad (date unknown). PyMaxEnt: A Python software for maximum entropy moment reconstruction. SoftwareX by Elsevier. Vol. 10. Accepted, .
  • Mokbel Karam (date unknown). PyModPDE: A python software for modified equation analysis. SoftwareX. Vol. 12. Accepted, .
  • Mokbel Karam (date unknown). Low-cost Runge-Kutta integrators for incompressible flow simulations. Journal of Computational Physics. Accepted, .
  • Saad Tony (date unknown). Saad T. and Majdalani J. Extension of Kelvin’s minimum energy theorem to incompressible and compressible fluid domains with open regions, Journal of Fluid Mechanics. Accepted, .
  • Tony Saad (date unknown). Saad, T., & Majdalani, J. (2017). Viscous Mean-Flow Approximations for Porous Tubes with Radially Regressing Walls. AIAA Journal. Accepted, .
  • Saad T. (date unknown). Scalable tools for generating synthetic isotropic turbulence with arbitrary spectra. AIAA Journal. Vol. 55, 327-331. Accepted, .
  • Saad T. (date unknown). On the Lagrangian optimization of wall-injected flows: From the Hart-McClure potential to the Taylor-Culick rotational motion. (pp. 331-362). Vol. 466. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences. Accepted, .

Research Keywords

  • Lung Cancer
  • Engineering Psychology

Presentations

  • Can orchestras perform safely during a pandemic? A case study using CFD to model airborne viral transport. Graduate Seminar, University of Vermont. , Presented, 2021.
  • How we used CFD to help the Utah Symphony Perform Safely during COVID19. Graduate Seminar, Auburn University. , Presented, 2021.
  • The Utah Symphony, Reimagined, using CFD. European Research Community on Flow, Turbulence and Combustion (ERCOFTAC) Second Meeting on COVID19 and Fluid Mechanics. , Presented, 2021.
    https://www.ercoftac.org/events/the-second-zoom-me...
  • Symphonies Reimagined using CFD. Notre Dame University, Lebanon. , Presented, 2020.
  • The Utah Symphony, Reimagined, using CFD. Chemical Engineering Graduate Seminar, University of Utah. , Presented, 2020.
  • Why CFD Needs a Facelift Invited talk at Brigham Young University. Invited Talk/Keynote, Presented, 01/23/2020. , Presented, 2020.
  • Why CFD Needs a Facelift Invited talk at the Colorado School of Mines. , Presented, 2019.
  • Karam M., Najjar F., Jiang M., Sutherland J. C., and Saad T., Applying Machine Learning to the Sedov-von Neumann-Taylor (SNT) Blast Wave. Lawrence Livermore National Laboratory Seminar, Livermore, California, Aug. 3, 2018. , Presented, 2018.
  • Saad T., What are Low-Mach Reacting Flows and How to Compute Them?, Invited Talk, National Institute for Standards and Technology (NIST), May 17, 2017. , Accepted, 2017.
  • Saad T., Why do Computational Scientists Complain?, University of Utah Graduate Seminar, April 19, 2017. , Presented, 2017.
  • Karam M., Najjar F., Jiang M., Sutherland J. C., and Saad T., Applying Machine Learning to the Sedov-von Neumann-Taylor Blast Wave. Rocky Mountain Fluid Mechanics Symposium, University of Colorado Boulder,, Aug. 12 - 13, 2018. Other, Presented, 2018.
  • Hedworth, H., Sohl, J., and Saad, T., Evaluating the Accuracy of UAV-Based Measurements through Experiments and Computational Fluid Dynamics Simulations. AICHE 2021 Annual Meeting, Houston, Texas. Nov. 7 - 11, 2021. , Presented, 2021.
  • Efficient Multistage Time Integrators for Incompressible Flows using Projection Methods. Mokbel Karam, University of Utah, U.S.; Mike Hansen, Sandia National Laboratories, U.S.; James C. Sutherland and Tony Saad, University of Utah, U.S. SIAM CSE 19, Spokane, WA, Feb. 25 - March 1, 2019. , Presented, 2019.
  • Exploring the Predictibility of Random Forests for the Sedov-Von Neumann-Taylor Blast Wave Solution. Mokbel Karam, University of Utah, U.S.; Fady M. Najjar and Ming Jiang, Lawrence Livermore National Laboratory, U.S.; James C. Sutherland and Tony Saad, University of Utah, U.S. SIAM CSE 19, Spokane, WA, Feb. 25 - March 1, 2019. , Presented, 2019.
  • Solving Evolutionary Differential Equations on Heterogeneous Architectures abstract Tony Saad and James C. Sutherland, University of Utah, U.S., SIAM CSE 19, Spokane, WA, Feb. 25 - March 1, 2019. , Presented, 2019.
  • Tony Saad, Mokbel Karam, and James C. Sutherland. "An Explicit Variable-Density Projection Method for Low-Mach Reacting Flows on Structured Uniform Grids", 2018 Fluid Dynamics Conference, AIAA AVIATION Forum, (AIAA 2018-4266). https://doi.org/10.2514/6.2018-4266. , Presented, 2018.
  • Austin Richards, Tony Saad, and James C. Sutherland. "A Fast Turbulence Generator using Graphics Processing Units", 2018 Fluid Dynamics Conference, AIAA AVIATION Forum, (AIAA 2018-3559) https://doi.org/10.2514/6.2018-3559. , Presented, 2018.
  • Saad, T., & Sutherland, J. C. (2017). Case Studies in Using a DSL and Task Graphs for Portable Reacting Flow Simulations. Retrieved from url link to talk abstract if any. , Presented, 2017.
  • Goshayeshi, B., Saad, T., & Sutherland, J. C. (2017). Hybrid Computing In Large-Scale Multiphysics Simulation: Tabulated Properties and Particle-Cell Interpolations. Retrieved from url link to talk abstract if any. , Presented, 2017.
  • Saad, T., & Sutherland, J. C. (2016). An Explicit Variable-Density Projection Method for Low-Mach Reacting Flows on Structured Uniform Grids. In AIChE Annual Meeting. San Francisco, CA, USA. , Presented, 2016.

Research Groups

  • Collin Hoggard, . 2018 - present. Awards/Scholarships/Stipends: UROP Awardee.
  • Giovanna Roth, . 2018 - present. Awards/Scholarships/Stipends: UROP Awardee.
  • Austin Richards, . Chemical Engineering. 2017 - present. Awards/Scholarships/Stipends: UROP Awardee.
  • Mokbel Karam, . Chemical Engineering/PHD. 2017 - present.

Languages

  • South Levantine Arabic, Fluent.
  • Arabic, Fluent.
  • French, Functional.
  • English, Fluent.

Geographical Regions of Interest

  • Lebanon

Grants, Contracts & Research Gifts

  • DRONE SEED. PI: - 2020. Total project budget to date:
  • WAVE CODE FORTRAN TO C++. PI: - 2018. Total project budget to date:

Software Titles

  • BuckinghamPy: A Python software for dimensional analysis. The Buckingham Pi theorem is useful in determining the dimensionless terms that describe a physical phenomenon. The number of these terms grows with the number of variables. The traditional approach in identifying dimensionless quantities for a given system can be tedious and error-prone. BuckinghamPy is a Python software that automates the generation of all possible sets of dimensionless groups in LATEX format. BuckinghamPy serves as a helpful tool for experimentalists and engineers for both educational and research purposes. Release Date: 2021. Inventors: Mokbel Karam and Tony Saad.
  • PyModPDE: A python software for modified equation analysis. The modified equation is a useful tool in the analysis of numerical methods for partial differential equations (PDEs). It gives insight into the stability, diffusion, and dispersion properties of a given numerical scheme. Its derivation, however, is rather tedious and error-prone due to the enormous amount of algebra involved. PyModPDE is a python software that uses a novel approach to generate the modified equation. It takes a discrete PDE as its input and outputs the modified equation in LATEX format. We discuss the novel approach on which PyModPDE is based and then validate the software using one and two-dimensional PDEs. PyModPDE serves as an essential tool for computational scientists and engineers for both educational and research purposes. Release Date: 2020. Inventors: Mokbel Karam and Tony Saad.
  • MaxEnt. Given a finite number of moments that describe a distribution, there an infinite number of distributions that can produce that finite number of moments. This is known as the moment inversion problem: given a finite set of moments, how does one find the "one and only" distribution that produced these monents? MaxEnt uses the Shannon's maximum information entropy principle to reconstruct the most likely distribution given a finite set of moments. It argues that the likely distribution that produced these moments is the one that maximizes the information entropy - or the one that embodies whatever knowledge we have of the distribution. Release Date: 2018.
  • CudaTurboGen. A GPU version of the synthetic turbulence generator. Release Date: 2018.
  • TurboGenPY. A python-based synthetic turbulence generator. Release Date: 2018. Inventors: Tony Saad.
  • Wave++. A scalable, parallel C++ code for computing wave propagation in complex three-dimensional terrain. The method implements wave confinement to capture sharp waves without incurring numerical errors. Release Date: 2017.
  • PyWave. 2D wave propagation software in Python using wave confinement. Release Date: 2017.
  • IsoTurb. Isotropic Turbulence Generator. See: turbulence.utah.edu. Release Date: 2016. Inventors: Tony Saad and James C. Sutherland.