Math Seminar Series

Throughout each semester Gonzaga's Mathematics Department hosts math talks (colloquia).  These talks are directed towards Mathematics majors but are usually accessible at a variety of levels.  If you have questions or are interested in presenting contact Dr. Hays Whitlatch.

 

Upcoming Talks

Careers in Science presented by Provost Sacha Kopp (Gonzaga University)

  • Co-sponsored by the Physics Department, Provost Kopp will talk about careers in science, how one gets started, what’s invigorating about doing science, and what are some options for careers post graduation. A Q&A session will follow the talk.

Thursday 20 October 2022 in JEPSON 114 Wolff Auditorium.  Pizza and light beverages will be offered from 3:30pm - 4:00pm, followed by the talk from 4:00pm - 5:00pm.  Bring your friends and classmates!

  

Past Talks

RITHMOMACHIA: A Proposal of Rules and Progressions for Victory presented by Rie Durnil.

  • Rithmomachia is an ancient mathematical strategy game that gradually disappeared after the Renaissance leaving inconsistent interpretations of the rules and the number of ways to achieve victories. As a basis for further research, Dr. Tomás Guardia and I propose a set of rules in hopes of creating an academic discussion to establish a final set that is both historically accurate and player friendly. Our current research on mathematic progressions within the game will also be discussed.

The Future of Governing Equations presented by J. Nathan Kutz (University of Washington)

  • Machine learning and AI algorithms are transforming a diverse number of fields in science and engineering. This is largely due their success in model discovery which turns data into reduced order models and neural network representations that are not just predictive, but provide insight into the nature of the underlying dynamical system that generated the data. We introduce a number of data-driven strategies, including targeted uses of deep learning, for discovering nonlinear multiscale dynamical systems, compact representations, and their embeddings from data. Importantly, data-driven architectures must jointly discover coordinates and parsimonious models in order to produce maximally generalizable and interpretable models of physics-based systems and processes.

Dissecting Graphs presented by Ann Clifton (Louisiana Tech University)

  • Graphs are used to model a wide range of phenomena from social networks to the structure of chemical compounds.  In a social network, we may want to divide the group into teams that share some special characteristics.  In a chemical compound, we may be interested in certain types of substructures.  How far can these divisions be taken while preserving the desired characteristics?We model this question by asking which graphs have an equitable dissection.  An equitable dissection of a graph on n vertices is an iterative partitioning of the vertex set into two disjoint balanced subsets so that the induced subgraphs are connected.  We say a graph is equitably dissectable if the iteration results in n isolated vertices.  We will present some recent results and questions for future work.

Inventing the Future of Medical Imaging with Mathematics presented by Dr. Melody Alsaker 

  • When most people think of medical imaging modalities such as CT, MRI, or ultrasound scans, they probably don't think about mathematicians being involved in the development of these important life-saving technologies. Medical imaging is part of a large and dynamic field of applied mathematics known as "inverse problems." This talk will provide an introduction to the idea of an inverse problem, and we will touch on the mathematics behind a few modern medical imaging technologies, including my own area of research, Electrical Impedance Tomography (EIT).

A Taste of Equivariant Topology presented by Dr. Eric Hogle     

  • Equivariant topology studies moving shapes. Some very simple questions about how shapes can move haven't been answered until quite recently. You might think it would be hard to understand research that hasn't even been published yet, but come give it a try! If you can imagine a donut, you can learn something only a handful of people on earth know.

 

 

 

 

 






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502 E. Boone Ave.
Spokane, WA 99258