Research Day 2022: Friday, November 4
October 28, 2022
The Mathematics Department hosted Research Day on Friday, November 4th, noon-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 our their own research projects. The event was held in the Math Commons room (McBryde 455), and culminated in a colloquium given by our own Dr. Omar Saucedo.
In addition to the scheduled live presentations, there were pre-recorded research talks which you can view below.
Current prospective graduate students should reach out to any of these faculty members to follow up on your own related interests.
Dr. Abaid discusses her research in Applied & Computational Mathematics and Math Physics.
Dr. Adjerid discusses his research in Applied & Computational Mathematics.
Dr. Borggaard discusses his research in Applied & Computational Mathematics.
Dr. Childs discusses her research in Mathematical Biology.
Dr. deSturler discusses his research in Applied & Computational Mathematics.
Dr. Elgart discusses his research in Math Physics and Analysis.
Dr. Lin discusses his research in Applied & Computational Mathematics.
Dr. Liu discusses his research in Applied & Computational Mathematics.
Dr. Palsson discusses his research in Analysis
Dr. Saucedo discusses his research in Mathematical Biology.
Dr. Saucedo will give a departmental colloquium at 4 pm, with a reception beginning at 3:30.
Title: The Role of Human Movement on Vector-Borne Diseases
Abstract: In the past decade, human mobility data has become increasingly available with the introduction of smartphone devices. Not only did communication between acquaintances and access to information become easier; smartphones can provide helpful clues on the movement patterns of individuals throughout their day. Additionally, incorporating mobility data into an epidemiological model offers valuable insight for implementing mitigation strategies. In this talk, we will present analytical tools for approximating the critical epidemiological threshold, the basic reproduction number, for a SIS-SI vector-borne disease multipatch model. We will use cell phone data to estimate the movement patterns of individuals between different geographical regions with the objective of understanding how the mobility network structure influences vector-borne disease dynamics.
Start time |
Speaker |
12:00 |
|
12:08 |
|
12:16 |
|
12:24 |
|
12:32 |
|
12:40 |
Daniel Valvo |
12:48 |
Corinne Mitchell |
12:56 |
Quiyana Murphy |
13:04 |
Sean Reiter |
13:12 |
Francisco Romero Acosta |
Break 13:20-14:00 | |
14:00 |
|
14:08 |
|
14:16 |
|
14:24 |
|
14:32 |
|
14:40 |
|
14:48 |
|
14:56 |
|
15:04 |
|
15:12 |
*prerecorded talks
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