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# AMCS Seminars

## Upcoming Seminars

There are currently no events to display.

## Past Seminars

## The application of implicit Runge-Kutta methods to various types of differential equations

Friday, April 26, 2024 3:30pm to 4:20pm

MacLean Hall

Speaker: Laurent O. Jay, Dept. of Mathematics

## Optimization and related problems

Friday, April 19, 2024 3:30pm to 4:20pm

MacLean Hall

Speaker: David Stewart, Department of Mathematics

## Advice for a Career in Academia

Friday, April 12, 2024 3:30pm to 4:20pm

MacLean Hall

Speaker: Joe Eichholz, United States Air Force Academy

## Mechanics of Collagenous soft tissue and meso-structural models

Friday, April 5, 2024 3:30pm to 4:20pm

MacLean Hall

Speaker: Jia Lu, Dept of Mechanical Engineering

## Statistical Modeling and Inference for Social Networks

Friday, March 29, 2024 3:30pm to 4:20pm

MacLean Hall

Speaker: Buddhika Nettasinghe, Dept. of Business Analytics

## The Power of Mathematical Symmetry in Theoretical Physics

Friday, March 22, 2024 3:30pm to 4:20pm

MacLean Hall

Speaker: Vincent Rodgers, Dept. of Physics & Astronomy

## Stochastic differential equations

Friday, March 8, 2024 3:30pm to 4:20pm

MacLean Hall

Speaker: Palle Jorgensen, Dept. of Mathematics

## Learning-based Agricultural Management Subject to Climate Variability

Friday, March 1, 2024 3:30pm to 4:20pm

MacLean Hall

Speaker: Shaoping Xiao, Dept. of Mechanical Engineering

## Two sample summary data Mendelian randomization analysis

Friday, February 23, 2024 3:30pm to 4:20pm

MacLean Hall

Speaker: Kai Wang, Dept. of Biostatistics

## Cooperative Autonomous Systems: optimal control and graph theory for guaranteed safety and robustness

Friday, February 16, 2024 3:30pm to 4:20pm

MacLean Hall

Speaker: Venanzio Cichella, Dept. of Mechanical Engineering

## Introduction to nonlinear PDE

Friday, February 9, 2024 3:30pm to 4:20pm

MacLean Hall

Speaker: Lihe Wang, Dept. of Mathematics

## Number theory, medical imaging, and machine learning

Friday, February 2, 2024 3:30pm to 4:20pm

MacLean Hall

Speaker: Prof. Yangbo Ye, Dept. of Mathematics

## Imaging-based Cluster-Informed Lung Assessment and Modeling

Friday, January 26, 2024 3:30pm to 4:20pm

MacLean Hall

Speaker: Ching-Long Lin, Dept. of Mechanical Engineering

## Mathematical biology

Friday, January 19, 2024 3:30pm to 4:20pm

MacLean Hall

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

MacLean Hall

Zakir Durumeric (Stanford) on "Tracking the Spread and Sway of Misinformation Narratives at Scale"

## Stochastic Analysis: Theory and Applications

Friday, April 28, 2023 3:30pm to 4:20pm

MacLean Hall

Speaker: Palle Jorgensen, Dept. of Mathematics

## Modeling seizure activity in flies

Friday, April 21, 2023 3:30pm to 4:20pm

MacLean Hall

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

MacLean Hall

Speaker: Laurent Jay, Dept. of Mathematics

## Streamflow prediction via Gated Recurrent Unit

Friday, April 7, 2023 3:30pm to 4:20pm

MacLean Hall

Speaker: Shaoping Xiao, Dept. of Mechanical Engineering

## Connecting family trees to understand the past, present and future of our society

Friday, March 31, 2023 3:30pm to 4:20pm

MacLean Hall

Speaker: Caglar Koylu, Department of Geographical and Sustainability Sciences

Canceled

## Applications and Consequences of the Friendship Paradox in Human Social Sensing

Friday, March 31, 2023 3:30pm to 4:20pm

MacLean Hall

Speaker: Buddhika Nettasinghe, Dept. of Business Analytics

Canceled

## Inversion and optimization problems in remote sensing: challenges and opportunities

Friday, March 24, 2023 3:30pm to 4:20pm

MacLean Hall

Speaker: Jun Wang, Department of Chemical and Biochemical Engineering

## Autonomous Vehicle Assisted Package Delivery

Friday, March 10, 2023 3:30pm to 4:20pm

MacLean Hall

Speaker: Ann Campbell, Dept. of Business Analytics

## Constrained Optimization Methods for Machine Learning with Fairness Constraints

Friday, March 3, 2023 3:30pm to 4:20pm

MacLean Hall

Speaker: Qihang Lin, Dept. of Business Analytics

## Multiscale Methods in Numerical Analysis

Friday, February 24, 2023 3:30pm to 4:20pm

MacLean Hall

Speaker: Wayne Polyzou, Dept. of Physics and Astronomy

## Exploring quantum physics with quantum computers

Friday, February 17, 2023 3:30pm to 4:20pm

MacLean Hall

Speaker: Yannick Meurice, Dept. of Physics and Astronomy

## Introduction to scientific machine learning

Friday, February 10, 2023 3:30pm to 4:20pm

MacLean Hall

Speaker: Xueyu Zhu, Dept. of Mathematics

## Number Theory and its applications

Friday, February 3, 2023 3:30pm to 4:20pm

MacLean Hall

Speaker: Yangbo Ye, Dept. of Mathematics

## Attractor-like dynamics extracted from brain recordings underlie bistable perception in auditory streaming

Friday, January 27, 2023 3:30pm to 4:20pm

MacLean Hall

Speaker: Rodica Curtu, Dept. of Mathematics

## Knotted Proteins

Friday, January 20, 2023 3:30pm to 4:20pm

MacLean Hall

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

Friday, September 23, 2022 4:00pm to 5:00pm

Seamans Center

Iñigo Urteaga (Columbia University) on "Probabilistic machine learning for predictive models of mobile health data: a use case on menstrual cycle length prediction"

## Stochastic Analysis and Applications

Friday, April 29, 2022 3:30pm to 4:20pm

MacLean Hall

Speaker: Palle Jorgensen, Dept. of Mathematics

## High energy physics with quantum computers

Friday, April 22, 2022 3:30pm to 4:20pm

MacLean Hall

Speaker: Yannick Meurice, Dept. of Physics and Astronomy

## UNI - John Deere Symposium on Machine Learning

Friday, April 22, 2022 9:50am to 2:00pm

The symposium will be held at the University of Northern Iowa, Maucker Union, Rooms A & B for those who want to attend in person and online via Zoom for anyone who wants to attend virtually. You must register to receive the link to the virtual event.
Registration is free and open to industry professionals, academic faculty and students interested in the fields of

**data science**,**analytics**,**computer science**,**statistics**,**mathematics**,**engineering**, and**business**. University of Iowa Computer Science...## Weak Formulation and Finite Element Method for Partial Differential Equations

Friday, April 15, 2022 3:30pm to 4:20pm

MacLean Hall

Speaker: Weimin Han, Dept. of Mathematics

## Model based deep learning algorithms for next generation imaging

Friday, April 8, 2022 3:30pm to 4:20pm

MacLean Hall

Speaker: Mathews Jacob, Dept. of Electrical and Computer Engineering

## An introduction to interpretable machine learning

Friday, April 1, 2022 3:30pm to 4:20pm

MacLean Hall

Speaker: Tong Wang, Dept. of Business Analytics

## The excitable brain: order and disorder through the lens of Drosophila neurogenetics

Friday, March 25, 2022 3:30pm to 4:20pm

MacLean Hall

Speaker: Atulya Iyengar, Dept. of Biology

## Colloquium - Securing Operating System Kernels with Fewer Shots

Tuesday, March 15, 2022 11:30am to 12:30pm

Virtual

**Speaker**Yueqi Chen

**Abstract**Despite significant efforts on cybersecurity, we are observing an increasing number of attacks in recent years. The reason for this harsh reality is all our efforts aim at individual incidents and there is no deep understanding of attack surfaces in software systems. As a result, software systems are integrated with too many individual patches and ad-hoc mitigations, which slows down systems significantly without introducing substantial security benefits. In this...

## Logarithmic Lipschitz Norms and Diffusion-Induced instability

Friday, March 11, 2022 3:30pm to 4:20pm

MacLean Hall

Speaker: Zahra Aminzare, Dept. of Mathematics

## Decision Making under Uncertainty: An Optimization Perspective

Friday, March 4, 2022 3:30pm to 4:20pm

MacLean Hall

Speaker: Beste Basciftci, Dept. of Business Analytics

## Dynamical Systems and Neuronal Dynamics

Friday, February 25, 2022 3:30pm to 4:20pm

MacLean Hall

Speaker: Yangyang Wang, Department of Mathematics

Canceled

## Optimization & approximation: the mathematical challenges of machine learning

Friday, February 18, 2022 3:30am to 4:20am

MacLean Hall

Speaker: David Stewart, Department of Mathematics

## Evidence Synthesis

Friday, February 11, 2022 3:30pm to 4:20pm

MacLean Hall

Speaker: Ariel Aloe, Department of Psychological and Quantitative Foundations

## Introduction to Scientific Machine Learning

Friday, February 4, 2022 3:30pm to 4:20pm

MacLean Hall

Speaker: Xueyu Zhu, Department of Mathematics.

## Intelligent traffic light via policy-based reinforcement learning

Friday, January 28, 2022 3:30pm to 4:20pm

MacLean Hall

Speaker: Shaoping Xiao, Department of Mechanical Engineering

## Flattening the error curve of predictors for implicit methods in IVPs

Friday, January 21, 2022 3:30pm to 4:20pm

MacLean Hall

Speaker: Laurent Jay, Department of Mathematics

## GAUSS Seminar: Numbers and Games [hybrid]

Tuesday, November 2, 2021 3:30pm to 4:20pm

Schaeffer Hall

Abstract
This talk will focus itself on games. Some basic games will be introduced and their strategies analyzed. We will scratch the surface of combinatorial game theory, a lovely, playful, and often overlooked branch of mathematics. In the process we will stumble upon the surreal numbers and explore the very nature of “numbers”. This talk will be accessible for all audiences. There is no prerequisite knowledge needed, just an open mind.

**We will have milk and cookies! Remember to bring your**...## Colloquium - Programming Languages Techniques for Controlling Generalization Errors in Adaptive Data Analysis

Friday, October 22, 2021 4:00pm to 5:00pm

Virtual

Speaker
Marco Gaboardi (Boston University)
Abstract
Data analysts aim at guaranteeing that the result of a data analysis run on sample data does not differ too much from the result one would achieve by running the analysis over the entire population. To achieve this goal, they have developed several techniques to control the generalization errors of their data analyses. In this talk, I will discuss how programming language techniques can help data analysts to design adaptive data analyses...

## Colloquium - On Feature Learning in Neural Networks: Emergence from Inputs and Advantage over Fixed Features

Friday, October 15, 2021 4:00pm to 5:00pm

Virtual

Speaker
Yingyu Liang
Abstract
An important characteristic of neural networks is their ability to learn representations of the input data with effective features for prediction, which is believed to be a key factor to their superior empirical performance. To better understand the source and benefit of feature learning in neural networks, we consider learning problems motivated by practical data, where the labels are determined by a set of class relevant patterns and the inputs are generated...