Daniel Nelson, Phd work email
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I build computer models!I have a unique background that combines computational physics, non-linear dynamics and data science.Techniques and methods I use:RegressionBayesian InferenceStatisticsNumerical AnalysisUncertainty QuantificationKriging/Geo-Spatial AnalysisAnd more!Languages I program in:MATLABVB.NETFortranCC++PythonRAnd more!Things I build computer models of:Physical SystemsFluidsStructuresFluids and Structures at the same time (Fluid-Structure Interaction)Experimental DataIndustrial DataAny kind of data, really.
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Director Of Advanced DevelopmentNovity Apr 2023 - PresentSan Carlos, California, Us -
Multiphysics Modeling EngineerNovity Oct 2022 - Apr 2023San Carlos, California, Us -
Multiphysics Modeling EngineerParc, A Xerox Company Sep 2020 - Nov 2022Palo Alto, California, UsI develop multiphysics models for physics-based prognostics and health monitoring algorithms. -
LecturerSan Diego State University Aug 2015 - May 2021San Diego, Ca, UsCourses Taught: AE 601 - Computational Fluid Dynamics, AE 430 - Aircraft Propulsion Systems, AE 340 - Fluid Mechanics -
Teaching Associate, ResearcherSan Diego State University May 2010 - Dec 2015San Diego, Ca, UsResearch title: "Flow Separation and Lagrangian Coherent Structures in Complex Geometries with Discontinuous-Galerkin Methods"My current work focuses on the development of a high-order Lagrangian analysis method that is consistent in implementation and accuracy with high-order discontinuous-Galerkin fluid solvers. The method allows high-order accurate determination of distinguished coherent material flow structures that form the dynamic skeleton of unsteady separated flows, thus providing a pathway for the control of such structures. -
Research AdvisorSan Diego State University May 2012 - Aug 2012San Diego, Ca, Us-Advised and mentored a team of 5 undergraduate students in a summer research internship at the SDSU Computational Physics Laboratory, sponsored by the San Diego MESA Alliance and the California Space Grant Consortium.-Developed research goals for the 5-student team that led to the design and fabrication of a prototype experimental apparatus for the study of compressible flows using the shallow water analogy.-Held weekly meetings to ensure sufficient progress by the team in order to meet the overall educational goals of the program.-Gave lectures on theoretical methods including compressible flow theory, shallow water equations and the shallow water-compressible flow analogy. -
Lead CoordinatorSan Diego State University Jun 2012 - Jul 2012San Diego, Ca, Us-Led the development and execution, with 2 assistant coordinators, of a 1 week Research Academy for 20 local undergraduate MESA students in a program sponsored by the San Diego MESA Alliance and the California Space Grant Consortium.-Developed training material for research practices and methodologies and preparing research presentations.-Coordinated with researchers at UCSD and SDSU to provide investigative shadowing of current research projects in which the students participated in over the course of the training academy.-Coordinated an all day symposium at the end of the training academy where student participants presented their work and experience during the investigative shadowing. -
Computational Fluid Dynamics EngineerFlowserve Corporation Feb 2020 - Sep 2020Irving, Texas, UsI provided multiphysics modeling expertise to the mechanical seals organization. -
Lead Technology DeveloperFlowserve Corporation Jan 2016 - Feb 2020Irving, Texas, UsI lead a team of talented engineers in a nimble and dynamic advanced technology group focused on advancing the current state of the art.My responsibilities include:-Serve as the global lead for developing numerical analysis software to serve Flowserve's mechanical seals product lines.-Serve on the Global Simulation Steering Committee to define and execute the company's simulation, modeling, and high performance computing strategy.-Develop physical analytics for Flowserve's Industrial Internet of Things and Predictive Analytics products. -
Aerodynamics Engineering InternSolar Turbines Jun 2014 - Feb 2015San Diego, Ca, Us-Designing swirl brakes to control secondary flow in labyrinth seals of natural gas compressors by simulating flow in ANSYS CFX.-Final swirl brake design results in 70% reduction in swirl in front cavity.-Developing model of fluid-structure interaction between secondary flow and rotor to predict rotordynamic cross-coupling coefficients resulting from seal flow swirl.-Testing performance of low-solidity airfoil diffuser vanes in single stage scaled closed-loop compressor test rig. -
Cabling Engineering InternJet Propulsion Laboratory Jul 2010 - Aug 2010Pasadena, Ca, Us-Create and review harness block diagrams and harness fabrication drawings.-Review and evaluate software tools for harness development.-Coordinate subcontracting activities, including packing and shipping fabrication equipment to non-JPL vendors. -
Systems Engineering InternSpace Exploration Technologies Jun 2009 - Aug 2009Hawthorne, California, Us -
Technical InternMantech Jun 2008 - Feb 2009Herndon, Virginia, Us -
Engineering InternCalifornia Air Resources Board Jun 2006 - Jul 2007Sacramento, Ca, Us
Daniel Nelson, Phd Skills
Daniel Nelson, Phd Education Details
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Uc San DiegoAerospace Engineering -
San Diego State UniversityAerospace Engineering -
San Diego State UniversityAerospace Engineering -
California State University-Sacramento
Frequently Asked Questions about Daniel Nelson, Phd
What company does Daniel Nelson, Phd work for?
Daniel Nelson, Phd works for Novity
What is Daniel Nelson, Phd's role at the current company?
Daniel Nelson, Phd's current role is Physics-Based Predictive Maintenance.
What is Daniel Nelson, Phd's email address?
Daniel Nelson, Phd's email address is da****@****arc.com
What is Daniel Nelson, Phd's direct phone number?
Daniel Nelson, Phd's direct phone number is (972) 443*****
What schools did Daniel Nelson, Phd attend?
Daniel Nelson, Phd attended Uc San Diego, San Diego State University, San Diego State University, California State University-Sacramento.
What skills is Daniel Nelson, Phd known for?
Daniel Nelson, Phd has skills like Matlab, Fortran, Cfd, Fluid Dynamics, Aerospace, Solidworks, Aerodynamics, Finite Element Analysis, Systems Engineering, Ansys, Technical Writing, Simulations.
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