Summary
Work History
Education
Skills
Websites
References
Research
Timeline
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Anahita Alibalazadeh

Summary

Extensive research experience in plasma physics, plasma Simulation, computational Modeling. Proficient in scientific computing languages (Python, C++). Expert in numerical techniques. Strong background in validating and optimizing models using mathematical principles. Strong analytical and problem-solving skills. Background in semiconductor physics. Ability to work both independently and in a collaborative team environment.

Work History

PHD Candidate

The University of New Mexico
  • Developed computational plasma modeling to simulate plasma formation and calculate the photoionization production rate, utilizing data from the Sandia Plasma Research Facility
  • Conducted numerical analysis of plasma systems, focusing on ionization rate calculations in reactive gas flows (e.g., nitrogen and oxygen mixtures)
  • Integrated experimental data into the classic photoionization model, enhancing its accuracy and applicability across different gas environments
  • Improved the classic photoionization model by applying advanced numerical techniques, such as Finite Volume Method (FVM), Finite Difference Method (FDM), and Successive Over Relaxation (SOR) method, increasing its reliability and performance
  • Optimized 2D photoionization rate calculation using Fast Fourier Transform (FFT) for improved computational efficiency
  • Presented research findings at IEEE Pulsed Power Conference (PPC), ICOPS, American physical society (APS), and Gaseous Electronics Conference (GEC)

  • Optimized the accuracy and feasibility of photoionization rate calculations by integrating experimental VUV emission spectra in plasma simulation
  • Implemented advanced mathematical techniques such as FFT to analyze and solve generalized physical problems, leading to a significant reduction in computational complexity and execution time while maintaining accuracy
  • Applied the numerical methods to a 2D axisymmetric fluid model to investigate plasma formation while minimizing the computational time using numerical methods and programming languages (Python, C++)

Education

PhD - Electrical Engineering, plasma physics, computational modeling, simulation

The University of New Mexico
04.2025

Master of Science - Mathematics, applied mathematics, numerical methods

The University of New Mexico
01.2020

Skills

  • Python
  • C
  • Numerical Methods
  • COMSOL
  • Simulation and Modeling
  • Computational Skills
  • Problem-solving Skills
  • Communication Skills

Websites

References

  • Dr. Mark Gilmore, Full Professor, University of New Mexico, mgilmore@unm.edu
  • Dr. Andrew Fierro, Professor, andrew.fierro@nmt.edu

Research

  • Optimized the accuracy and feasibility of photoionization rate calculations by integrating experimental VUV emission spectra in plasma simulation.
  • Implemented advanced mathematical techniques such as FFT to analyze and solve generalized physical problems, leading to a significant reduction in computational complexity and execution time while maintaining accuracy.
  • Applied the numerical methods to a 2D axisymmetric fluid model to investigate plasma formation while minimizing the computational time using numerical methods and programming languages (Python, C++).

Timeline

PHD Candidate

The University of New Mexico

PhD - Electrical Engineering, plasma physics, computational modeling, simulation

The University of New Mexico

Master of Science - Mathematics, applied mathematics, numerical methods

The University of New Mexico

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Anahita Alibalazadeh