Skip to main content

Upcoming Seminars

Memorial Union on sunny day

Join us for an upcoming seminar featuring mathematics faculty and invited speakers on one of our seven research topics. You may also see upcoming seminars by topic:


Mathematical Strategies for Regional Natural Resource Assessments with Examples for Geothermal Energy

STAG 112
Applied Mathematics and Computation Seminar

Speaker: Erick Burns

Abstract: Under the Energy Act of 2020, the U.S. Geological Survey is tasked with completing assessments for five geothermal resource types: conventional geothermal, enhanced geothermal systems (EGS), low-temperature heating and cooling resources, underground thermal energy storage, and the potential for co-production of conventional hydrothermal with critical minerals. The mathematical tools employed for these assessments range from data-driven methods (e.g., Machine Learning) to process-based physically motivated models, with methods selected to capitalize upon what is known from past study. The goal is to make a best estimate of the resource along with estimates of uncertainty, typically using Bayesian paradigms. The reality of data often conflicts with the idealized assumptions of the underlying mathematical strategies, and understanding the math helps the practitioner understand and address bias (e.g., the use of regularization). As methods become increasingly complex and… Read more.


Two presentations: Mansi Mahajan and Nicholas Slugg

STAG 112
Applied Mathematics and Computation Seminar

Presentation by Mansi MahajanTitle : Spectral Finite Elements for Electromagnetic Metamaterial Models Abstract: Metamaterials are artificially structured materials designed to exhibit electromagnetic properties not found in naturally occurring materials. This talk begins with a brief overview of electromagnetic metamaterials and their applications, such as cloaking, negative refraction, and superlensing. I will then introduce spectral finite element methods for modeling wave propagation in such media, with a focus on dispersive models like the Drude model and the use of edge (Nédélec) elements for accurate discretization of Maxwell’s equations. The talk will also touch on dispersion relations arising from the discretized system and their relevance to wave behavior in metamaterials.Presentation by Nicholas SluggTitle: Modeling Hysteresis in Permafrost Thaw Using Neural NetworksAbstract: Modeling permafrost thaw is an important task due to the importance of permafrost on the local… Read more.


Poverty Traping in Proportional Loss Insurance Models

STAG 111
Dynamical Systems Seminar, Mathematical Biology Seminar, Probability and Data Science Seminar

Speaker: Enrique Thomann

In this talk I will describe recent work on modeling risk processes in low income households for which a proportional loss model can capture the catastrophic effects of income loss. These models are particularly adept for households with low liquidity, in which a governmental or NGO can provide subsidies for insurance. The mathematical analysis of the model combines stochastic processes, integro-differential equations and numerical calculations. This analysis help determine conditions in which the insured population can avoid a certainty of ruin. This is join work with Kira Henshaw, Jose Flores-Contro, Jorge Ramirez, Sooie-Hoe Loke and Coriina Constantinescu. Read more.


Poverty Traping in Proportional Loss Insurance Models

STAG 111
Dynamical Systems Seminar, Mathematical Biology Seminar, Probability and Data Science Seminar

Speaker: Enrique Thomann

In this talk I will describe recent work on modeling risk processes in low income households for which a proportional loss model can capture the catastrophic effects of income loss. These models are particularly adept for households with low liquidity, in which a governmental or NGO can provide subsidies for insurance. The mathematical analysis of the model combines stochastic processes, integro-differential equations and numerical calculations. This analysis help determine conditions in which the insured population can avoid a certainty of ruin. This is join work with Kira Henshaw, Jose Flores-Contro, Jorge Ramirez, Sooie-Hoe Loke and Coriina Constantinescu. Read more.


Poverty Traping in Proportional Loss Insurance Models

STAG 111
Dynamical Systems Seminar, Mathematical Biology Seminar, Probability and Data Science Seminar

Speaker: Enrique Thomann

In this talk I will describe recent work on modeling risk processes in low income households for which a proportional loss model can capture the catastrophic effects of income loss. These models are particularly adept for households with low liquidity, in which a governmental or NGO can provide subsidies for insurance. The mathematical analysis of the model combines stochastic processes, integro-differential equations and numerical calculations. This analysis help determine conditions in which the insured population can avoid a certainty of ruin. This is join work with Kira Henshaw, Jose Flores-Contro, Jorge Ramirez, Sooie-Hoe Loke and Coriina Constantinescu. Read more.