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Past Seminars

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] promotional image](/sites/amcs.uiowa.edu/files/styles/square__768_x_768/public/externals/4/f/4fb1ce23d2767429f2c9f4f26b7a9c53.png?itok=MIarDZUS)
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...
![GAUSS Seminar: Puzzles, Ice, & Grothendieck Polynomials [hybrid] promotional image](/sites/amcs.uiowa.edu/files/styles/square__768_x_768/public/externals/e/8/e8f14d2a242352c68a623309f95ac8dd.png?itok=DAOddsFA)
GAUSS Seminar: Puzzles, Ice, & Grothendieck Polynomials [hybrid]
Tuesday, October 5, 2021 3:30pm to 4:20pm
Schaeffer Hall
Abstract
We introduce quivers, path algebras and their representations. Then, in the case when our ground field is algebraically closed, we discuss a particular Morita invariant of path algebras arising from finite quivers, the Ext quiver of the category. Through examples we see how to compute the Ext quiver using quiver representations and techniques from linear algebra. We aim to keep the talk accessible to undergraduate and graduate students alike.
Speaker
Ryan Bianconi UI Mathematics PhD...

GAUSS Seminar: Puzzles, Ice, & Grothendieck Polynomials
Tuesday, September 21, 2021 3:30pm to 4:20pm
Schaeffer Hall
Abstract
From a summer REU at the University of Minnesota, we constructed a solvable lattice model for the dual weak symmetric Grothendieck polynomials in hopes of using such a model to prove related properties of these polynomials, including Cauchy identities and branching rules. We also considered a similar lattice model construction for the weak symmetric Grothendieck polynomials in hopes of proving a Cauchy identity, concluding with a negative result. Moreover, we expand on previous work by...

GAUSS Seminar: Rotation Symmetric Boolean Functions and its Matrix
Tuesday, September 14, 2021 3:30pm to 4:20pm
Schaeffer Hall
Abstract
Digital signatures are an important feature in any encryption/decryption scheme, as it provides a message with integrity, authenticity, and nonrepudiation. The problem occurs when long messages are being exchanged and signatures that are just as long need to be verified. By using hash functions, a ”fingerprint” of the message can be used instead of the message itself for verification, making the process computationally inexpensive. If we consider a single iteration of a general hashing...

Colloquium - Diderot: A Parallel Domain-Specific Language for Image Analysis and Visualization
Friday, September 10, 2021 4:00pm to 5:00pm
MacLean Hall
Speaker
John Reppy
Abstract
The analysis of structure in three-dimensional images is increasingly valuable for biomedical research and computational science. At the same time, the computational burden of processing images is increasing as devices produce images of higher resolution (e.g., typical CT scans have gone from 128^3 to roughly 512^3 resolutions). With the latest scanning technologies, it is also more common for the values measured at each sample to be multi-dimensional rather than...

GAUSS Seminar: Mathematics and Redistricting
Tuesday, September 7, 2021 3:30pm to 4:20pm
Schaeffer Hall
What we know, what we don't, and where we're going
Every ten years, the Census Bureau conducts the Census, a nation-wide tallying of every single individual living in the United States. In addition to helping governments and researchers manage land, understand population trends, and distribute resources, the Census is essential to a key democratic function: drawing electoral districts. The process of drawing electoral districts, called “redistricting,” divides every state in the United States...
AMCS Seminar
Friday, April 30, 2021 3:30pm to 4:30pm
MacLean Hall
Speaker: Ariel Aloe, Dept. of Psychological and Quantitative Foundations
Topic: Evidence synthesis and meta-analysis
AMCS Seminar
Friday, April 23, 2021 3:30pm to 4:20pm
MacLean Hall
Speaker: Yannick Meurice, Dept. of Physics & Astronomy
Topic: Finding the boundary of quantum advantage for quantum field theory
AMCS Seminar
Friday, April 16, 2021 3:30pm to 4:20pm
MacLean Hall
Speaker: Jia Lu, Department of Mechanical and Industrial Engineering
Topic: What machine learning can tell us about tissue rapture
AMCS Seminar
Friday, April 9, 2021 3:30pm to 4:20pm
MacLean Hall
Speaker: Vincent Rodgers
Topic: Gauged Projective Geometry in Gravitation
AMCS Seminar
Friday, April 2, 2021 3:30pm to 4:20pm
MacLean Hall
Speaker: Shaoping Xiao, Department of Mechanical Engineering
Topic: Motion Planning in Robotics by Using Reinforcement Learning with LTL Constraints
Abstract: High-level robotics motion planning requires the robot to accomplish complex tasks instead of simple go-to-goal navigations. This seminar presents a research topic of motion planning in robotics via the integration of reinforcement learning (RL) and linear temporal logics (LTL). The framework consists of a Markov decision process (MDP)...
AMCS Seminar
Friday, March 19, 2021 3:30pm to 4:20pm
Virtual
Speaker: Weimin Han
Topic: Boundary Value Problems of Partial Differential Equations: Weak Formulation and Numerical Solution
AMCS Seminar
Friday, March 12, 2021 3:30pm to 4:20pm
Virtual
Speaker: Tong Wang, Dept. of Business Analytics
Topic: Hybrid Predictive Model: When an Interpretable Model Collaborates with a Black-box Model
AMCS Seminar
Friday, March 5, 2021 3:30pm to 4:20pm
Virtual
Speaker: Nicholas Yannelis, Dept. of Economics
Topic: Contracts under Asymmetric Information