The Mathematics Department will host Research Day on Friday, November 8th, 11:35am-5pm. Research Day is an annual tradition and an opportunity for graduate students in the department to learn about its various research programs. Students can then make informed decisions about participating on research teams and carrying out their own research projects. The event will be held in the Math Commons room (McBryde 455) and will culminate in a pair of colloquia given by Professors Guher Camliyurt and Michael Robert.

There will be several short (8-minute) talks and interactive "poster" sessions given by faculty and graduate students, with plenty of opportunities for discussion during breaks and lunch. In addition to the scheduled live events, there are pre-recorded research talks that you can view below.

Current and prospective graduate students should reach out to any of these faculty members to follow up on their own related interests. 

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Dr. Childs discusses her research in Mathematical Biology.

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Dr. Elgart discusses his research in Math Physics and Analysis.

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Dr. Lin discusses his research in  Applied & Computational Mathematics.

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Dr. Liu discusses his research in  Applied & Computational Mathematics.

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Dr. Palsson discusses his research in Analysis

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Dr. Robert discusses his research in Mathematical Biology.

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Dr. Saucedo discusses his research in Mathematical Biology.

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Welcome and Short (8-minute) Presentations
11:35-12:25

Time

Event

Speaker

11:35-11:45

Intro

Nicole Abaid

11:45-11:53 talk 1 Ionut-Gabriel Farcas

11:53-12:01

talk 2

Honghu Liu

12:01-12:09

talk 3

Wenbo Sun

12:09-12:17

talk 4

Jason LeGrow

12:17-12:25

talk 5

Leo Herr

Lunch Break: Pizza and Mingling
12:25-1:15

Second Set of Short Presentations
1:15-2:02

1:15-1:22

talk 6

Andreas Deuchert

1:30-1:38

talk 7

Leah LeJeune

1:38-1:46

talk 8

Johann Rudi

1:46-1:54

talk 9

Justin Krometis

1:54-2:02

talk 10

Agnieszka Miedlar

Interactive "Poster" Session
2:02-2:45

Time

Event

Speaker

1:15-1:22

talk 6

Andreas Deuchert

1:30-1:38

talk 7

Leah LeJeune

1:38-1:46

talk 8

Johann Rudi

1:46-1:54

talk 9

Justin Krometis

1:54-2:02

talk 10

Agnieszka Miedlar

Third Set of Short Presentations
2:45-3:30

Time

Event

Speaker

2:45-2:53

talk 11

Steffen Werner

2:53-3:01

talk 12

Daniel Appelo

3:01-3:09

talk 13

Shixu Meng

3:09-3:17

talk 14

Hiram Lopez

3:17-3:25

talk 15

Mirjeta Pasha

Professors Guher Camliyurt and Michael Robert will present a pair of short (20-25-minute) colloquium talks, starting at 4 pm, with a reception beginning at 3:30.

Michael A. Robert
Assistant Professor
Department of Mathematics
Center for the Mathematics of Biosystems (VT-CMB)
Center for Emerging, Zoonotic and Arthropod-borne Pathogens (CeZAP)

Title: Climate and mosquito-borne disease: Model-based investigations of dengue emergence and spread

Abstract: Mosquito-borne diseases endemic to areas with tropical climates have been spreading in temperate regions of the world with greater frequency in recent years.  Numerous factors contribute to this spread, including urbanization, increases in global travel, and changes in temperature, precipitation, and humidity patterns due to climate change. Mathematical, statistical, and computational modeling are useful tools to examine how these different influences impact transmission and spread of arboviruses and for projecting how potential future changes in these factors may affect arbovirus dynamics. Models have long been employed f to study disease dynamics, but diseases emerging in new regions present particular challenges. Dengue fever, caused by a virus that is transmitted primarily by the mosquito Aedes aegypti, is emerging and becoming established in previously naïve regions while also causing greater morbidity and mortality in endemic regions. In this talk, I will discuss models developed to study the introduction, emergence, and spread of dengue, with a particular focus on its emergence in a region of temperate Argentina, where the virus appeared for the first time in 2009. I will present mathematical, statistical, and machine learning based models we have developed to better understand the role of climate in dengue’s emergence and increase in incidence. Taken together, this myriad of modeling approaches can be used in tandem to improve predictive models of dengue emergence and spread, which has important implications for dengue and mosquito mitigation strategies.