Mathematics
Student Publication
Mathematics Cheyenne Ty, Amanda Case, Emmanuel Mezzulo, Abigail Penland, and Kamila Larripa had their research paper published in the Spora: A Journal of Biomathematics.
Advances in Data Science
Kamila Larripa and collaborators had their paper accepted to the Springer volume Advances in Data Science. The article is titled "Randomized Iterative Methods for Tensor Regression Under the t-product" and sets forth novel methods to handle multimodal data. This publication is the res
Research Poster Presented at American Physical Society Far West Conference
Students Cheyenne Ty and Abigail Fenland presented a research poster at the American Physical Society Far West Conference. The poster summarized their math model of immune cell and neuron interaction in neurodegenerative diseases. They were advised by Kamila Larripa.
Math Modeling Paper Accepted to Spora: A Journal of Biomathematics
Cheyenne Ty, Amanda Case, Emmanuel Mezzulo, Abigail Penland, and Kamila Larripa had their paper accepted for publication in the Spora: A Journal of Biomathematics.
Professor Chris Dugaw publishes a new edition of math textbook
Professor Chris Dugaw updated and published a new edition of the text Laboratories in Mathematical Experimentation: A Bridge to Higher Mathematics, which is used in Cal Poly Humboldt's Mathematical Experimentation and Proof course.
New Mathematics Research Publication
Dr. Tyler Evans has published a new paper in collaboration with Professor Alice Fialowski (Eötvös Loránd University, Hungary) and her (former) Ph.D. student Professor Yong Yang (Xinjiang University, China).
Peter Goetz, Mathematics
Dr. Peter Goetz gave an invited talk titled "Frobenius Extensions in Noncommutative Invariant Theory" in the AMS Special Session on Homological Techniques in Noncommutative Algebra at the Joint Mathematics Meeting on January 3, 2024.
SLMath Research Program
Kamila Larripa was selected to participate in the Simons Laufer Mathematical Sciences Institute's Summer Research in Mathematics Program. She will work with collaborators on developing data-driven modeling approaches to investigate the impact of human behavior on epidemic dynamics for
Stochastic phenotype publication
Kamila Larripa and collaborators published an article in the Journal of Theoretical Biology entitled Macrophage phenotype transitions in a stochastic gene-regulatory network model. The study classifies cell phenotypes using a spectral clustering algorithm and quantifies transi
Collaborative Research Workshop in Data Science
Kamila Larripa was selected to participate in the Institute for Pure and Applied Mathematics collaborative research workshop in data science. She worked on tensor decomposition methods for machine learning.