Events
Upcoming Events
CS Colloquium - "Learning Sparse Dependence Structure in Complex-Valued Tensor Data"
CS Colloquium - "Approximation Algorithms: Some ancient, some new - the good, the bad and the ugly"
Past Events
Alumni talk about a career in industry
Speaker: TBA (now at Netflix)
Mathematics of stochastic tools, and their diverse applications
Speaker: Palle Jorgensen (Dept. of Mathematics)
The University of Iowa Computing Conference (UICC) 2025
"The UICC is hosted by the students and for the students to promote computing as a science and a profession."
Date: Feb. 22
Check out past conferences! [ 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024]
ACM@UIowa welcomes students, faculty, and all members of the community to our annual UIowa Computing Conference! The theme for UICC 2025 is "Finance and Technology." On Feb. 22, join us at the AJB and the Main Library SHAM auditorium for a deep exploration of how computer science and...
Constrained Optimization Methods for Machine Learning with Fairness Constraints
Speaker: Qihang Lin (Dept. of Business Analytics)
Evolution of Stress Response and Adhesin Gene Family in Pathogenic Yeasts
Speaker: Bin He, Biology Dept.
Structural Models for Vascular Tissues
Speaker: Jia Lu, Dept. Mechanical Engineering
Models of Mitochondrial Fission from ODE to PDE to DDE
Speaker: Colleen Mitchell, Dept. of Mathematics
Time integration methods for systems with constraints
Speaker: Laurent O. Jay, Department of Mathematics
Mathematics Faculty Colloquium - Xueyu Zhu; University of Iowa Department of Mathematics
Title: Recent Advancement of Scientific Machine Learning
Abstract: Machine learning has revolutionized scientific computing, offering unprecedented computational efficiency, flexibility, and applicability to real-world challenges. However, traditional machine learning approaches often overlook the rich insights provided by existing physical laws or mathematical properties. This talk explores the latest advancements in AI techniques that respect existing physical laws or mathematical properties...
A Machine Learning Approach to Analysis of Daily Vocal Function and Vocal Behavior of Individuals with Phonotraumatic Vocal Hyperfunction
In-person (WJSHC 210) and via Zoom (https://uiowa.zoom.us/j/92047907158?pwd=35J1P4oAYnVfabrLo7xdtBFhrX22GC.1 )
Title:
A Machine Learning Approach to Analysis of Daily Vocal Function and Vocal Behavior of Individuals with Phonotraumatic Vocal Hyperfunction
Abstract:
Voice disorders affect approximately 8% of U.S. adults at a given point in time, with a lifetime prevalence of approximately 30% for adults. Many voice disorders are considered behavioral in nature and are associated with vocal...