Resume

Education

Ph.D in Mechanical and Aerospace Engineering, University of California, San Diego and San Diego State University, 2019-present

M.S. in Mechanical and Aerospace Engineering, University of California, San Diego, 2021

M.S. in Mechanical Engineering, University of Malaga, 2019

M.S. in Environmental Engineering, University of Malaga, 2019 

B.S. in Mechanical Engineering, University of Malaga, 2016

Work Experience

PhD Researcher at the Computational Physics Lab at SDSU (2019-present), Department of Aerospace Engineering, San Diego State University.

Developed research on uncertainty quantification and data-driven approaches in multiphase flows with high-inertial particles where the forcing is unknown. Improved and extended the state-of-the-art CFD codes of particle-laden flows to improve simulations of particle-shock interactions. Advisor: Prof. Gustaaf Jacobs. Collaborators: Prof. Daniel M. Tartakovsky and Prof. Qi Wang.

http://attila.sdsu.edu/~jacobs/index.html

https://tartakovsky.stanford.edu/

https://sites.google.com/sdsu.edu/qiwang

Researcher and Lecturer of Fluid Mechanics (2018-2019), Department of Mechanical Engineering, University of Malaga, Spain.

Prepared, taught and supervised the course of Fluid Mechanics in Mechanical Engineering Undergrad Degrees in the course 2018-2019 while performing research in the areas of Physics of Plasmas and Computational Fluid Dynamics.

Airzone (2017-2018), Malaga, Spain.

Responsible for the Computational Fluid Dynamics simulations of HVAC flows and development of models for data characterization.

 Bettergy (2018), Malaga, Spain.

Development of predictive algorithms for energy consumption and collaborated in consultancy of efficiency for building design.

Private Tutor for College Students (2013-2019), Malaga, Spain.

Helped 150+ students to pass the toughest courses in Mechanical Engineering: Calculus, Algebra, Applied Math, Solid Mechanics, Fluid Mechanics, Thermodynamics and Heat Transfer.

Awards

University Graduate Fellowship (2020-2022), San Diego State University

Best Master’s Thesis Award (2018-2019), University of Malaga

Numerical and analytical study of a plasma shock wave
Graduate Student Fellowship (2016-2017), Spanish Ministry of Education
Awarded to top 1% graduate students in Spain

University Fellowship (2015-2016), University of Malaga
Awarded to the best undergraduate student in each department

University Entrance Exam Award (2011)
Excellence award granted by the Spanish Ministry of Education

Publications

Domínguez-Vázquez, D., Jacobs, G. B., & Tartakovsky, D. M. (2023). Analytical stochastic descriptions of the disperse phase in particle-laden flows. In Preparation.

Domínguez-Vázquez, D., Castiblanco-Ballesteros, S. A., Jacobs, G. B., & Tartakovsky, D. M. (2023). Deterministic Lagrangian framework for the simulation of stochastically forced inertial particles. In Preparation.

Domínguez-Vázquez, D., & Jacobs, G. B. (2023). Point-cloud method SPARSE for particle-laden flows with stochastic forcing. In Preparation.

Domínguez-Vázquez, D., Wang, Q., & Jacobs, G. B. (2022). Adjoint-based Particle Forcing Reconstruction and Uncertainty Quantification. arXiv preprint arXiv:2211.10849https://arxiv.org/abs/2211.10849

Domínguez-Vázquez, D., Klose, F. B., & Jacobs, G. B. (2022). Closed SPARSE—A predictive particle cloud tracer. International Journal of Multiphase Flow, 161, 104375. https://doi.org/10.1016/j.ijmultiphaseflow.2022.104375

Domínguez-Vázquez, D., Jacobs, G. B., & Tartakovsky, D. M. (2021). Lagrangian models of particle-laden flows with stochastic forcing: Monte Carlo, moment equations, and method of distributions analyses. Physics of Fluids33(3), 033326. https://doi.org/10.1063/5.0039787

Domínguez-Vázquez, D., & Fernandez-Feria, R. (2019). On analytical approximations for the structure of a shock wave in a fully ionized plasma. Physics of Plasmas26(8), 082118. https://doi.org/10.1063/1.5111923

Conferences

Domínguez-Vázquez, D., Jacobs, G. B., & Coimbra, C. F. M. (2022). Point-cloud method SPARSE for particle-laden flows with stochastic forcing. Joint Doctoral Program Research Symposium, San Diego State University, December 2.

Domínguez-Vázquez, D., Wang, Q., & Jacobs, G. B. (2022). Adjoint-based particle forcing recon- struction from sparse measurements with uncertainty quantification. 75th Annual Meeting of the APS Division of Fluid Dynamics, November 20–22, Indianapolis, IN. https://meetings.aps.org/Meeting/DFD22/Session/J20.10

Domínguez-Vázquez, D., & Jacobs, G. B. (2022). Point-cloud Subgrid Particle-Averaged Reynolds Stress Equivalent (SPARSE) method for particle-laden flows with stochastic forcing. 75th Annual Meeting of the APS Division of Fluid Dynamics, November 20–22, Indianapolis, IN. https://meetings.aps.org/Meeting/DFD22/Session/U36.5

Domínguez-Vázquez, D., & Jacobs, G. B. (2022). High-order approximation of deterministic initial conditions for distributional partial differential equations. 2nd North American High Order Methods Conference. July 18-19, San Diego State University, San Diego, CA. https://sites.google.com/sdsu.edu/nahomcon2022

Domínguez-Vázquez, D., & Jacobs, G. B. (2022). Predictive cloud method SPARSE for computing particle-laden flows with stochastic forcing. 15th Southern California Flow Physics Symposium, University of California, Los Angeles, April 23. https://sites.google.com/g.ucla.edu/socalfluidsxv

Domínguez-Vázquez, D., Jacobs, G. B., & Coimbra, C. F. M. (2021). A closed Cloud-In-Cell SPARSE model for simulating particle-laden flows. Joint Doctoral Program Research Symposium, San Diego State University, December 3.

Domínguez-Vázquez, D., & Jacobs, G. B. (2021). SPARSE Model: Closed! 74th Annual Meeting of the APS Division of Fluid Dynamics, November 21–23, Phoenix, AZ. https://meetings.aps.org/Meeting/DFD21/Session/Q08.2

Domínguez-Vázquez, D., Jacobs, G. B., & Tartakovsky, D. M. (2021). Uncertainty quantification analysis of point-particle Eulerian-Lagrangian systems with stochastic forcing. 74th Annual Meeting of the APS Division of Fluid Dynamics, November 21–23, Phoenix, AZ. https://meetings.aps.org/Meeting/DFD21/Session/P27.5

Domínguez-Vázquez, D., Jacobs, G. B., & Tartakovsky, D. M. (2021). Uncertainty quantification analysis of point-particle Eulerian-Lagrangian systems with stochastic forcing. Mechanistic Machine Learning and Digital Twins for Computational Science, Engineering & Technology. September 26-29, San Diego, CA. https://mmldt.eng.ucsd.edu

Domínguez-Vázquez, D., Jacobs, G. B., & Tartakovsky, D. M. (2021). Uncertainty quantification analysis of point-particle Eulerian-Lagrangian systems with stochastic forcing. 14th Southern California Flow Physics Symposium, Caltech, April 10. https://sites.google.com/view/socalfluidsxiv

Domínguez-Vázquez, D., Jacobs, G. B., & Coimbra, C. F. M. (2019). Lagrangian models of particle-laden flows with stochastic forcing. Joint Doctoral Program Research Symposium, San Diego State University, December 4.

Invited Talks

Daniel Domínguez-Vázquez, (2022). A comprehensive analysis of Eulerian-Lagrangian descriptions of particle-laden flows with random forcing. I Love Fluid Mechanics Talks, University of Malaga, December 20. https://sites.google.com/view/ilfmtalks

Daniel Domínguez-Vázquez, (2021). SPARSE: A closed Cloud-In-Cell formulation for simulating particle-laden flows that accounts for sub-grid fluctuations. Charlas el Almendro, University of Malaga, December 22. https://sites.google.com/view/charlaselalmendro

Daniel Domínguez-Vázquez, (2019). Uncertainty quantification of particle-laden flow models with stochastic forcing: Monte Carlo, method of moments and method of distribution analyses. Charlas el Almendro, University of Malaga, December 20. https://sites.google.com/view/charlaselalmendro