The Department of Mathematical and Statistical Sciences will host poster presentations on Friday, Oct. 11, from 1 p.m. to 2 p.m. in the third floor atrium of Cudahy Hall.
The event will feature the work of 12 graduate student researchers who participated in the Computational Sciences Summer Research Fellows Program last summer. The program provides funding for graduate students to conduct summer research from various fellowships, including the Northwestern Mutual Data Science Institute Fellows, Wehr Fellows, Swokowski Fellow, and Computational Sciences Fellows.
The selection process is competitive and based on the quality and relevance of the students’ research proposals, which are reviewed by a committee. Fellows benefit from hands-on research experience, mentorship from faculty, and the opportunity to present their findings at events such as this poster presentation. The twelve presenters are:
Regularization in Singular Spectrum Analysis for Functional Times Series
Jesse Adikorley
Simulation and Harmonic Analysis of k-space Readout
John Bodenschatz
Improving 3D Complex Geometrical Optics EIT Reconstructions with a priori Information
Emily Corcoran
Learning-based CT Image Reconstruction with an Improved Signal Detectability Loss
Megan Lantz
Spatially Correlated Sampling from Parallel Partial Emulators for Geophysical Applications
Joey Lyon
Hybrid-PCA for Multivariate Functional and Vector Data
Soroush Mahmoudiandehkordi
Super Resolution Recovery with Implicit Neural Representations
Mahrokh Najaf
Collective Spectral Density Estimation for Multiple Multivariate Time Series
Shirin Nezampour
Smooth and Sparse Multivariate Functional Principal Component Analysis
Mobina Pourmoshir
A Language Theoretic Approach to Enumerating Bounded Permutations
Eric Redmon
Applying Gradient Kernel Dimension Reduction and Parallel Partial Linked Emulator to Postfire Debris Flow Data
Josh Seidman
A CAIPI Approach for Simultaneous Multi-Slice Technique to Increase Activation Detection in FMRI
Ke Xu
For more information, visit the department’s website or email naveen.bansal@marquette.edu.