Title: Number theory and cryptography   Abstract:  In this presentation Professor Ye will survey his work and progress in number theory since his last colloquium talk in the department. Topics include the Riemann zeta function, automorphic L-functions, their functoriality, upper bounds, and zero statistics, computational number theory, and its applications to cyberspace security or insecurity.   Short Bio: Professor Yangbo Ye is a professor of Mathematics with expertise in number theory and...

Speaker: Weiyu Xu, Dept. of Electrical and Computer Engineering

Speaker: Rahul Singh, Dept. of Computer Science

Title: A model theorist’s perspective on the Connes Embedding Problem (and its resolution)Abstract: In 2020, a group of computer scientists resolved the Connes Embedding Problem (CEP) from von Neumann algebra theory. In this informal talk, I’ll explain how basic ideas from mathematical logic can be used to simplify and strengthen the resolution of the CEP from the computer science result.Professor Goldbring is giving a colloquium talk, Effective metric structure theory and operator algebras, at...

Speaker: Thiago Serra Azevedo Silva, Dept. of Business Analytics

Speaker: Mojtaba Hosseini, Dept. of Business Analytics

Speaker: Qi Luo, Dept. of Business Analytics

Title: Variational-Hemivariational Inequalities: Theory, Numerical Analysis, and ApplicationsAbstract: In recent years, modeling, mathematical analysis, and numerical solution of hemivariational inequalities, or more generally, variational-hemivariational inequalities, have attracted much attention in the research communities. Through the formulation of variational-hemivariational inequalities, application problems involving nonsmooth, monotone or non-monotone, multivalued constitutive laws...

Speaker: Wayne Polyzou, Dept. of Physics & Astronomy

Speaker: Palle Jorgensen (Dept. of Mathematics)

Speaker: Qihang Lin (Dept. of Business Analytics)

Speaker: Bin He, Biology Dept.

Speaker: Jia Lu, Dept. Mechanical Engineering

Speaker: Colleen Mitchell, Dept. of Mathematics

Speaker: Laurent O. Jay, 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...

Speaker: Dr. Rob Falgout, Center for Applied Scientific Computing (CASC) at Lawrence Livermore National Laboratory (LLNL) Abstract: Multigrid methods play a key role in large-scale scientific simulation because they are among the fastest and most scalable approaches for solving systems of equations. They are widely used to solve the sparse spatial systems that arise in these simulations, and they have been shown to scale efficiently on today’s supercomputers. For time-dependent simulations...

Speaker: Dr. Rob Falgout, Center for Applied Scientific Computing (CASC) at Lawrence Livermore National Laboratory (LLNL) Abstract: The multigrid reduction in time (MGRIT) method is a parallel multigrid-in-time solver designed to be as non-intrusive as possible and take advantage of existing simulation codes and techniques. This has worked well for parabolic equations, but parallel-in-time methods for advection-dominated hyperbolic problems have proven difficult to develop. In previous work, we...

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: Palle 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

Speaker Zakir Durumeric Abstract While a significant amount of research has shed light on how inauthentic news and misinformation spreads on social media platforms like Twitter, inauthentic narratives are increasingly spread on alternative platforms, messaging apps like Telegram and WhatsApp, niche forums, and on the broader web. In this talk, I will discuss how technologists can provide visibility into the spread of information on the broader Internet. I will present some of the recent work...

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

Speaker Iñigo Urteaga Abstract Mobile health (mHealth) apps, such as menstrual trackers, provide a rich source of self-reported observations: they provide day-to-day health indicators and behaviors, which can help shed light onto an individual's wellness and health over time. However, self-tracked data collected via mHealth apps have questionable reliability, as they hinge on user adherence. Because mHealth app users may skip tracking relevant health information, disentangling physiological...

Speaker: Palle Jorgensen, Dept. of Mathematics