Events

Math Ed Seminar

234 Gordon Palmer Hall AL, United States

Applied Math Seminar – Qin Wang, University of Alabama

302 Gordon Palmer Hall

Title: Sufficient dimension reduction for high dimensional data Abstract: The high dimensional data generated from modern scientific discoveries introduces unique challenges to statistical modeling. Sufficient dimension reduction (SDR) is a useful tool to bridge the gap through projection subspace recovery. In this study, a new formulation is proposed based on the Hellinger integral of order

Math Ed Seminar

234 Gordon Palmer Hall AL, United States

Math Ed Seminar

234 Gordon Palmer Hall AL, United States

Putnam Competition

234 Gordon Palmer Hall AL, United States

The William Lowell Putnam Mathematical Competition is the preeminent mathematics competition for undergraduate college students in the United States and Canada. The Putnam Competition takes place annually on the first Saturday of December. The competition consists of two 3-hour sessions, one in the morning and one in the afternoon. During each session, participants work individually

Applied Math Seminar – Evie A. Malaia, Communicative Disorders, University of Alabama

302 Gordon Palmer Hall

Title: Mathematical models in cognitive neuroscience: advances and opportunities Abstract:  High prevalence of neurodegenerative (Parkinson’s, Alzheimer’s) and neurodevelopmental (Autism spectrum disorders, ADHD) disorders in modern population increased the demand for precision therapeutic interventions. However, the current understanding of how those diseases develop and affect brain processing over time is incomplete, and testing of in-vivo interventions

Applied Math Seminar – Di Liu, Michigan State University

302 Gordon Palmer Hall

Title: Multiscale Modeling and Computation of Optically Manipulated Nano Devices Abstract: We present a multiscale modeling and computational scheme for optical-mechanical responses of nanostructures. The multi-physical nature of the problem is a result of the interaction between the electromagnetic (EM) field, the molecular motion, and the electronic excitation. To balance accuracy and complexity, we adopt the semi-classical