Joseph N. Squeo
Dayton
Summary
Adept Combustion Research Engineer with a proven track record at Innovative Scientific Solutions, Inc., and the University of Connecticut, specializing in high-fidelity simulations and computational analysis. Excelled in developing advanced algorithms and tools, enhancing simulation accuracy and efficiency. Skilled in Python and collaborative research, demonstrated by published works and conference presentations. Active Secret clearance and U.S. citizen.
Overview
7
7
years of professional experience
Work History
Combustion Research Engineer
Innovative Scientific Solutions, Inc.
Dayton
01.2022 - Current
- Performed high-fidelity large eddy simulations (LES) of reacting flows on DoD high-performance computing systems.
- Experience in configuring and running simulations of bluff-body stabilized turbulent flames, rotating detonation engines, shock tubes, and detonations.
- Developed Python code to analyze and post-process terabyte-sized simulation data, and visualize data in ParaView.
- Developed Cantera scripts to compute metrics for deflagration and detonations, and integrated the code into a toolbox similar to the Shock-Detonation Toolbox for other engineers to utilize.
- Modified the Navier-Stokes governing equations to add a source term for fuel injection and forced mixing.
- Managed and archived all code on GitLab in repositories for version control, code documentation, and access to other engineers.
- Presented technical research at conferences and published in the AIAA Journal.
- Worked closely with experimental engineers to design, test, and analyze experiments of combustors for air-breathing propulsion systems.
Graduate Research Engineer
University of Connecticut
Storrs
08.2018 - 11.2021
- Performed large eddy simulations of buoyancy-driven laminar and turbulent non-premixed flames in OpenFOAM for fire modeling research.
- Modified Navier-Stokes governing equations to integrate a data assimilation model into the physics-based solver, to assimilate experimental measurements into the simulation.
- Developed a computational framework in Python, leveraging Kalman filtering and a regression-based machine learning model, to improve the accuracy of soot modeling for diffusion flames.
- Maintained a working knowledge of computational thermal fluids, advanced mathematics, and machine learning to investigate new concepts to improve soot and radiative heat transfer models.
- Developed and presented technical work at conferences, and summarized the research reports.
Education
M.S. - Mechanical Engineering
University of Connecticut
Storrs, CT11.2021
B.S. - Mechanical Engineering
University of Connecticut
Storrs, CT01.2019
Skills
- Research planning
- Simulation modeling
- Computational analysis
- Physics and chemistry
- Algorithm development
- Proficiency in Python, Matlab, and Fortran
- Parallel programming (HPCs)
- Data analysis (Paraview, VisIt)
- Cantera, SD Toolbox
- ICEMCFD, GridPro (meshing)
- NX, SOLIDWORKS (CAD)
- Technical documentation (GitLab)
Websites
Publications
- Squeo, J.N. and Sykes, J.P. and Comer, A.L. and Gallagher, T.P. and Rankin, B.A, "Corner Vortex Structures Within Recirculation Zones of Confined Bluff-Body Flows," AIAA Journal, 62, 2024, 62, 1–12, https://doi.org/10.2514/1.j063820.
- Squeo, J. N. and Sykes, J. and Comer, A. and Fugger, C. and Rankin, B. A., “Quantitative Comparison of Large Eddy Simulations and Optical Diagnostics of Bluff-Body Premixed Flames with High and Low Approach Flow Turbulence,” AIAA SciTech 2024 Forum, pp. 1-24, 2024. https://doi.org/10.2514/6.2024-1248.
- Squeo, J. N. and Sykes, J. and Rankin, B. A., “Recirculation Zone Structure and Dynamics in Confined Bluff-Body Turbulent Premixed Flames,” AIAA SciTech 2023 Forum, pp. 1-11, 2023. https://doi.org/10.2514/6.2023-0927.
- Squeo, J. N., “Data-Based Soot Modeling in Buoyancy-Driven Diffusion Flames,” Thesis, Department of Mechanical Engineering, University of Connecticut, pp. 1-170, 2021. http://hdl.handle.net/11134/20002:860656234.
References
References available upon request.
Timeline
Combustion Research Engineer
Innovative Scientific Solutions, Inc.
01.2022 - Current
Graduate Research Engineer
University of Connecticut
08.2018 - 11.2021
M.S. - Mechanical Engineering
University of Connecticut
B.S. - Mechanical Engineering
University of Connecticut
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