The Mathematics + Computer Science Seminar is a biweekly seminar highlighting research activities within the MCS Department at LTU.
Attendance is a requirement of "MCS 2111: MCS Seminar"
Communication Between Math, History, Art in Architectural Buildings
Speaker: Wisam Bukaita
Abstract: The scope of the presentation incorporates a brief review of the research path and future research in addition to the in-class projects and modeling. A second-order non-homogenous differential equation is employed in my research papers to add the aesthetical and architectural views to the structural system and deliver the art of math in a real-life structural building. The modified differential equation provides a strong alternative to the most recent American Institute Steel Construction, AISC codes for structural engineers through a new derived alignment chart to facilitate the design process. Coding skills and 3D printing are functionalized to enhance learning in the classroom. Other alternative teaching methods are presented to combine playing games and practicing some of the theoretical concepts using virtual reality.
Extract Meaning from Text using Word Embeddings
Speaker: Paula Lauren
Abstract: In this talk, I will explain the use of word embeddings and how they are used to derive meaning from text. Word embeddings are a numerical representation of words (also known as distributional word vectors) based on word pair co-occurrences from a corpus. In addition, I will present an overview of some of my past, recent, and current research projects leveraging word embeddings in various computing tasks. Since this seminar series is geared towards MCS2111 students, I will also incorporate a teaching part at the end of my talk to discuss my text mining and analytics course along with methodology towards senior projects and directed study.
A Mathematical Journey of Disease Spread Models
Speaker: Bruce Pell
Abstract: In this talk, I’ll present an overview of my past, present and future research projects that relate to modeling the spread of infectious diseases. Along the way we’ll discuss reasons for why such a task is important and what types of mathematical tools can be used to understand the dynamic spread of diseases. Specific case studies will be presented from previous research projects (Ebola, Zika and Plague) along with current and future projects (COVID-19, pathogen fitness and thermal mismatch curves).
A Mathematical Model of COVID-19 Spread by Vaccination Status
Speaker: Matthew D. Johnston
Abstract: In this talk, I will present some recent joint work with Drs. Pell and Nelson on the mathematics of COVID-19 spread. We introduce an n-stage vaccination model and corresponding system of differential equations which can simulate a disease outbreak by breaking the population down according to their vaccination status. This allows the mitigation effects of vaccination and accelerating effects of variants such as delta to be uncoupled from one another, and offers valuable insight for the future course of the COVID-19 pandemic. We fit the model to 2021 data from the Virginia Department of Health.