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 InstituteFellows, 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 [email protected].

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