Events
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Past Events
The University of Iowa Computing Conference (UICC) 2023
"The UICC is hosted by the students and for the students to promote computing as a science and a profession."
Date: Feb. 24-25
You can learn about this year's speakers and schedule below and on ACM@UIOWA site!
Check out past conferences! [ 2016, 2017, 2018, 2019, 2020, 2021, 2022]
Schedule Friday, Feb. 24, 2023 5:30pm Talk 1 (Keynote): Shambaugh, Main Library Joe Kearney 7:15pm Activity + Food: (Adler Journalism Building Rotunda + AJB E120 + AJB E126) S...Multiscale Methods in Numerical Analysis
Speaker: Wayne Polyzou, Dept. of Physics and Astronomy
Exploring quantum physics with quantum computers
Speaker: Yannick Meurice, Dept. of Physics and Astronomy
Introduction to scientific machine learning
Speaker: Xueyu Zhu, Dept. of Mathematics
Insights from Mathematical Modeling of Infectious Diseases
Speaker: Herbert Hethcote Emeritus Professor of Mathematics, University of Iowa
Number Theory and its applications
Speaker: Yangbo Ye, Dept. of Mathematics
Attractor-like dynamics extracted from brain recordings underlie bistable perception in auditory streaming
Speaker: Rodica Curtu, Dept. of Mathematics
Knotted Proteins
Speaker: Isabel Darcy, Dept. of Mathematics
CS Colloquium - Probabilistic machine learning for predictive models of mobile health data: a use case on menstrual cycle length prediction
Iñigo Urteaga
AbstractMobile health (mHealth) apps, such as menstrual trackers, provide a rich source of self-reported observations: they provide day-to-day health indicators and behaviors, which can help shed light onto an individual's wellness and health over time. However, self-tracked data collected via mHealth apps have questionable reliability, as they hinge on user adherence. Because mHealth app users may skip tracking relevant health information, disentangling physiological...
Topological Data Visualization Workshop
The workshop format is expected to be in person; however, many talks will be available online. Thus we expect to have both in person and online participants. Not all activities will be available to online participants.
Some datasets are too small for standard statistical/data analysis to accurately characterize the data. Others are extremely large and data size reduction methods may be needed. One solution is to use topological data analysis to simplify and/or visualize data. This workshop will...