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Students

Ph.D. Graduates
  1. Carlos Bazan, PDE-Based Image and Structure Enhancement for Electron Tomography of Mitochondria. Doctor of Philosophy in Computational Science. Spring 2009. [pdf]

  2. Bing Zhu, Computational Modeling and Bifurcation Analysis of Bubbling Fluidized Processes. Doctor of Philosophy in Computational Science. Spring 2008. [pdf]

  3. Scott Arthur Gasner, Cellular Pattern Formation and Noise in O(2) Symmetric Systems. Doctor of Philosophy in Computational Science. Summer 2006. [pdf]

Masters Graduates
  1. Emma Sully, A Computational Study of Wind Turbine Wake Models and Their Application in Wind Farm Layout Optimization, Master of Science in Applied Mathematics. Spring 2022.

  2. Daniel Matteson, Toward Optimal GPU Utilization: Code-Optimization of a Simulation Environment for Vortex Patch Interactions and their Influence on Cnoidal Waves Using the ScalFMM Framework, Master of Science in Computational Science. Spring 2021.

  3. Jayme Rosenquist, Data Analysis Tools to Inform Undergraduate Advising. Master of Science in Applied Mathematics. Fall 2020.

  4. Kunal Lalwani, Clustering of the Microorganisms into the Empires and Kingdoms. Master of Science in Computational Science: Data Science. Fall 2020.

  5. Ludwig Siegert, Review and Numerical Comparison of Image Superresolution Algorithms. Master of Science in Applied Mathematics. Spring 2018.

  6. Martin Rodriguez, Computational Aspects of the Material Point Method with Applications in Computer Graphics. Master of Science in Applied Mathematics with a Concentration in Dynamical Systems. Spring 2017.

  7. Anja Schmidt, A survey of the Equivalence of Non-Convex l0 and Convex l1 Minimization with Application to Compressed Sensing. Master of Science in Applied Mathematics. Spring 2017.

  8. Tejas Natu, A Study of Interior Point Methods on the Compressed Sensing Problem. Master of Science in Applied Mathematics. Spring 2017.

  9. Jose Anibal Cruz Villarreal, Approximations to the Lid-Driven Cavity Problem in 2D. Master of Science in Applied Mathematics with a Concentration in Dynamical Systems. Summer 2016.

  10. Joshua Taylor, Compressive sensing approach to BI-SQUID arrays. Master of Science in Applied Mathematics. Spring 2016.

  11. Nicholas Llewellyn Fisher, The Computational Analysis and Classification of Histological Images for Prostate Andenocarcinoma. Master of Science in Applied Mathematics with a Concentration in Dynamical Systems. Summer 2014.

  12. Adam Oberlander, Optimization of Michell Truss Systems with Multiple External Forces in Bending State. Master of Science in Applied Mathematics with a Concentration in Dynamical Systems. Fall 2013.

  13. Hung Viet Nguyen, Image Processing and Analysis of Cardiomyocyte Contractility /and/ Quantification of Western Blots. Master of Science in Computational Science. Spring 2013.

  14. Trevor Hawkins, Introduction of Non-linear Elasticity Models for Characterization of Shape and Deformation Statistics: Application to Contractility Assessment of Enzymatically Isolated Adult Cardiocytes. Master of Science in Applied Mathematics. Spring 2012.

  15. Erin Daly, Multiphase Levelset Evolution with Applications to Automatic Generational Tracking of Cell Division of Escherichia coli. Master of Science in Applied Mathematics. Spring 2012.

  16. Joseph Marcucilli, A Review of Some Inverse Scale Space Methods for Image Reconstruction. Master of Science in Applied Mathematics. Spring 2012.

  17. Ryan E Humphrey, Inpainting Using Anisotropic Diffusion and its Application to Synthetic Aperture Radar Interferograms. Master of Science in Applied Mathematics. Spring 2009.

  18. Michelle Miller, Level Set Methods for Biomedical Imaging. Master of Science in Applied Mathematics. Spring 2008

  19. Eugenia Chen, Optimizing a Coral Nerve Net. Master of Science in Computational Science. Spring 2008.

  20. Scott Arthur Gasner, Integrating the Kuramoto-Sivashinsky Equation: A Simulation of the Hopping State. Master of Science in Computational Science. Fall 2004.

"499" Senior Projects
  1. Devin Stanley, Adaptive Entropy-Driven Partitioning of Spatiotemporal Datasets. Spring 2022.

  2. Ethan Ha, Outcome-Prediction using Machine Learning Tools. Spring 2022.

  3. Bennett Guillaume, Tensor-SVD Based Video Compression Codec. Spring 2021.

  4. Rachel East, L.A.D.S. — Linear Algebra in Data Science. Fall 2020.

  5. Vody Pavlyuk, L.A.D.S. — Linear Algebra in Data Science. Fall 2020.

  6. John Cossette, Video Compression Using Higher Order Singular Value Decomposition. San Diego State University, Senior Project, Spring 2020.

  7. Ken Luu, Computational Energy Extrapolation Methods Nuclear Shell Model Calculations. San Diego State University, Senior Project, Fall 2018.

  8. Alyssa Cesca, A Qualitative Analysis of Student Learning and Success in Introduction to Linear Algebra. San Diego State University, Senior Project, Fall 2017.

  9. Kristina Norris, Mathematical Modelling and Data Analysis: Linear Algebra Methods applied to the "MLSP 2014 Schizophrenia Classification Challenge." San Diego State University, Senior Project, Spring 2017.

  10. Mary Popko, Algorithms and Systems for Foreign Object Debris Dectection San Diego State University, Senior Project, Spring 2016.

  11. David Popko, Detecting Foreign Object Debris (FOD) on Runways. San Diego State University, Senior Project, Spring 2015.

  12. Haydee Garrido, Developing a "light-weight" skin cancer image screening system. San Diego State University, Senior Project, Spring 2013.

  13. Jesus Flores, Modeling and Simulating of Calcium Diffusion in a Single Sarcomere of a Cardiomyocyte. San Diego State University, Senior Project, Spring 2013.

  14. Olga Lyan, Compressed Sensing. San Diego State University, Senior Project, Spring 2012.

  15. Worawat Laicharoensup, Mathematical Modeling in Aircraft Technology. San Diego State University, Senior Project, Spring 2009.

  16. Karen Johnson, Cubic and Quintic Splines. San Diego State University, Senior Project, Spring 2008.

  17. Jeff Cooper, Statistical Classification of Video Data Under Compression. San Diego State University, Senior Project, Spring 2007.

  18. Jeremy Kramer, Coupling-Induced Pattern Formation in the Kuramoto-Sivashinsky Equation. San Diego State University, Senior Project, Fall 2006.

Masters (in progress)
  1. Susana Munguia Hernandez, Scalable Fast Multipole Computations using the ScalFMM and StarPU Frameworks, Master of Science in Applied Mathematics. (Summer 2022, planned).

  2. Hiro Suzuki, [...], Master of Science in Computational Science: Data Science (Spring 2023, planned).

"499" Senior Projects (in progress)
  1. [...]. (planned).