Upcoming Events
Evolution of Stress Response and Adhesin Gene Family in Pathogenic Yeasts
Friday, February 14, 2025 3:30pm to 4:20pm
Speaker: Bin He, Biology Dept.
The University of Iowa Computing Conference (UICC) 2025
Saturday, February 22, 2025 10:00am to 7:00pm
"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...
Past Events
Introduction to nonlinear PDE
Friday, February 9, 2024 3:30pm to 4:20pm
Speaker: Lihe Wang, Dept. of Mathematics
Number theory, medical imaging, and machine learning
Friday, February 2, 2024 3:30pm to 4:20pm
Speaker: Prof. Yangbo Ye, Dept. of Mathematics
Imaging-based Cluster-Informed Lung Assessment and Modeling
Friday, January 26, 2024 3:30pm to 4:20pm
Speaker: Ching-Long Lin, Dept. of Mechanical Engineering
Mathematical biology
Friday, January 19, 2024 3:30pm to 4:20pm
Speaker: Prof. Colleen Mitchell, Dept. of Mathematics
CS Colloquium - Tracking the Spread and Sway of Misinformation Narratives at Scale
Friday, December 8, 2023 3:30pm to 4:30pm
Zakir Durumeric (Stanford) on "Tracking the Spread and Sway of Misinformation Narratives at Scale"
Final Exam - Building Interpretable Machine Learning Models for Sequential Data
Wednesday, June 7, 2023 9:00am
PhD Candidate: Dat Hong
Abstract
The past decade has seen a tremendous increase in machine learning research, particularly in deep learning techniques. These methods have proven to be highly effective in various domains, including health care, finance, genomics, image processing, and text analytics. However, machine learning has its limitations, particularly in the lack of transparency behind its behaviors, which leaves users with little understanding of how decisions are made by these models...
Stochastic Analysis: Theory and Applications
Friday, April 28, 2023 3:30pm to 4:20pm
Speaker: Palle Jorgensen, Dept. of Mathematics
Modeling seizure activity in flies
Friday, April 21, 2023 3:30pm to 4:20pm
Speaker: John Manak, Depts. of Biology and Pediatrics and the Roy J. Carver Center for Genomics
Using constant step sizes and time-rescaling in the numerical integration of differential equations
Friday, April 14, 2023 3:30pm to 4:20pm
Speaker: Laurent Jay, Dept. of Mathematics
Streamflow prediction via Gated Recurrent Unit
Friday, April 7, 2023 3:30pm to 4:20pm
Speaker: Shaoping Xiao, Dept. of Mechanical Engineering