School of Engineering

Showing 201-210 of 1,008 Results

  • Ankush Kundan Dhawan

    Ankush Kundan Dhawan

    Masters Student in Electrical Engineering, admitted Autumn 2021
    Research Assistant, Computer Science

  • Morgan Diamond

    Morgan Diamond

    Assistant Director of Student Engagement, Civil and Environmental Engineering

  • Katryna Dillard

    Katryna Dillard

    Program Manager, Program-Bao Z.

    BioKatryna Dillard joined Stanford University in April 2021 as the program manager for the Stanford Wearable Electronics (eWEAR) Initiative. As the program manager Katryna manages the logistics of annual symposiums, monthly seminars/newsletters, tracking and updating current affiliate member companies, and acts as a point of contact with affiliate members while providing administrative support. Prior to joining eWEAR Katryna worked in hotels at the front desk and in events for 5 years. She graduated from Whittier College with a B.A. in Sociology and Theatre Communication Arts with an emphasis in Design and Technology.

  • Marsha Dillon

    Marsha Dillon

    Executive Assistant to the Chair, Electrical Engineering

  • Chloe Dionisio

    Chloe Dionisio

    Communications Associate, School of Engineering - External Relations

  • Nhu Do

    Nhu Do

    Associate Director of HR, School of Engineering

  • Samuel A Do

    Samuel A Do

    Masters Student in Computer Science, admitted Autumn 2021
    Student Employee, Computer Science

  • An Minh Doan

    An Minh Doan

    Su Student - Summer, Computer Science
    Undergraduate, Computer Science

  • Antun Domic

    Antun Domic

    Adjunct Lecturer, Electrical Engineering

  • Stefan P. Domino

    Stefan P. Domino

    Adjunct Professor, Institute for Computational and Mathematical Engineering (ICME)

    BioDr. Domino’s research interest rests within low-Mach fluid mechanics methods development for complex systems that drive the coupling of mass, momentum, species and energy transport. His core research resides within the intersection of physics elucidation, numerical methods research, V&V techniques exploration, and high performance computing and coding methods for turbulent flow applications. Stefan also supports the teaching of ME469, Computational Methods in Fluid Mechanics, while continuing his primary career at Sandia National Laboratories as a Distinguished Member of the Technical Staff.

    Education:

    University of Utah
    Ph.D. Department of Chemical Engineering, 1999
    "Methods towards improved simulations for the oxides of nitrogen in pulverized-coal furnaces"
    Professor Philip J. Smith, Advisor

    Select Recent Publications:

    * Domino, S. P., "On the subject of large-scale pool fires and turbulent boundary layer interactions", Phys. Fluids, 2024. (Featured)

    * Domino, S. P., Wenzel, E. A, "A direct numerical simulation study for confined non-isothermal jet impingement at moderate nozzle-to-plate distances: capturing jet-to-ambient density effects", Int. J. Heat Mass Trans, 2023.

    * Benjamin, M., Domino, S. P., Iaccarino, G., "Neural networks for large eddy simulations of wall-bounded turbulence: numerical experiments and challenges", Eur. Phys. J. E., 2023.

    * Hubbard, J., Cheng, M., Domino, S. P., "Mixing in low-Reynolds number reacting impinging jets in crossflow", J. Fluids Engr., 2023.

    * Domino, S. P. “Unstructured finite volume approaches for turbulence,” in Numerical Methods in Turbulence Simulation, edited by R. Moser (Elsevier, 2023), Ch. 7, pp. 285–317.

    * Scott, S., Domino, S. P., "A computational examination of large-scale pool fires: variations in crosswind velocity and pool shape", Flow, 2022.

    * Domino, S. P., Horne, W., "Development and deployment of a credible unstructured, six-DOF, implicit low-Mach overset simulation tool for wave energy applications", Renew. Energy, 2022.

    * Hubbard, J., Hansen, M., Kirsch, J., Hewson, J., Domino, S. P., “Medium scale methanol pool fire model validation”, J. Heat Transfer, 2022.

    * Barone, M., Ray, J., Domino, S. P., "Feature selection, clustering, and prototype placement for turbulence datasets", AIAA J., 2021,

    * Domino, S. P., Hewson, J., Knaus, R., Hansen, M., "Predicting large-scale pool fire dynamics using an unsteady flamelet- and large-eddy simulation-based model suite", Phys. Fluids, 2021. (Editor's pick)

    * Domino, S. P., "A case study on pathogen transport, deposition, evaporation and transmission: linking high-fidelity computational fluid dynamics simulations to probability of infection", Int. J. CFD, 2021.

    * Domino, S. P., Pierce, F., Hubbard, J., "A multi-physics computational investigation of droplet pathogen transport emanating from synthetic coughs and breathing", Atom. Sprays, 2021.

    * Jofre, L., Domino, S. P., Iaacarino, G., "Eigensensitivity analysis of subgrid-scale stresses in large-eddy simulation of a turbulent axisymmetric jet", Int. J. Heat Fluid Flow, 2019.

    * Domino, S. P., Sakievich, P., Barone, M., "An assessment of atypical mesh topologies for low-Mach large-eddy simulation", Comp. Fluids, 2019.

    * Domino, S. P., "Design-order, non-conformal low-Mach fluid algorithms using a hybrid CVFEM/DG approach ", J. Comput. Physics, 2018.

    * Jofre, L., Domino, S. P., Iaacarino, G., "A Framework for Characterizing Structural Uncertainty in Large-Eddy Simulation Closures", Flow Turb. Combust., 2018.

    CV: https://github.com/spdomin/Present/blob/master/cv/dominoCV.pdf