Speaker: Laurent O. Jay, Dept. of Mathematics

Speaker: David Stewart, Department of Mathematics

Speaker: Joe Eichholz, United States Air Force Academy

Speaker: Jia Lu, Dept of Mechanical Engineering

Speaker: Buddhika Nettasinghe, Dept. of Business Analytics

Speaker: Vincent Rodgers, Dept. of Physics & Astronomy

Speaker: Pallle Jorgensen, Dept. of Mathematics

Speaker: Shaoping Xiao, Dept. of Mechanical Engineering

Speaker: Kai Wang, Dept. of Biostatistics

Speaker: Venanzio Cichella, Dept. of Mechanical Engineering

Speaker: Lihe Wang, Dept. of Mathematics

Speaker: Prof. Yangbo Ye, Dept. of Mathematics

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

Speaker: Prof. Colleen Mitchell, Dept. of Mathematics

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

Speaker: Palle Jorgensen, Dept. of Mathematics

Speaker: John Manak, Depts. of Biology and Pediatrics and the Roy J. Carver Center for Genomics

Speaker: Laurent Jay, Dept. of Mathematics

Speaker: Shaoping Xiao, Dept. of Mechanical Engineering

Speaker: Caglar Koylu, Department of Geographical and Sustainability Sciences

Speaker: Buddhika Nettasinghe, Dept. of  Business Analytics

Speaker: Jun Wang, Department of Chemical and Biochemical Engineering

Speaker: Ann Campbell, Dept. of Business Analytics

Speaker: Qihang Lin, Dept. of  Business Analytics

Speaker: Wayne Polyzou, Dept. of Physics and Astronomy

Speaker: Yannick Meurice, Dept. of Physics and Astronomy

Speaker: Xueyu Zhu, Dept. of Mathematics

Speaker: Yangbo Ye, Dept. of Mathematics

Speaker: Rodica Curtu, Dept. of Mathematics

Speaker: Isabel Darcy, Dept. of Mathematics

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

Speaker: Palle Jorgensen, Dept. of Mathematics

Speaker: Yannick Meurice, Dept. of Physics and Astronomy

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...

Speaker: Weimin Han, Dept. of Mathematics

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

Speaker: Tong Wang, Dept. of Business Analytics

Speaker: Atulya Iyengar, Dept. of Biology

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...

Speaker: Zahra Aminzare, Dept. of Mathematics

Speaker: Beste Basciftci, Dept. of Business Analytics

Speaker: Yangyang Wang, Department of Mathematics

Speaker: David Stewart, Department of Mathematics

Speaker: Ariel Aloe, Department of Psychological and Quantitative Foundations

Speaker: Xueyu Zhu, Department of Mathematics.

Speaker: Shaoping Xiao, Department of Mechanical Engineering

Speaker: Laurent Jay, Department of Mathematics

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...

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...

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...