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Home » Mathematics and Statistical Science graduate students present summer research, October 11
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Mathematics and Statistical Science graduate students present summer research, October 11

Paul E.By Paul E.October 10, 2024No Comments2 Mins Read
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The Department of Mathematical Statistics will be holding a poster presentation on Friday, October 11th from 1:00 pm to 2:00 pm in the 3rd floor atrium of Cudahy Hall.

This event will showcase the research results of 12 graduate student researchers who participated in last summer’s Computational Science Summer Research Fellows Program. The program provides funding for graduate students to conduct summer research from a variety of fellowships, including Northwestern Mutual Data Science Institute Fellows, Wehr Fellows, Swokowski Fellows, and Computational Science Fellows.

The selection process is competitive and based on the quality and relevance of the student’s research proposal, which will be considered by a committee. Fellows benefit from hands-on research experience, mentorship from faculty, and opportunities to present their research results at events such as this poster presentation. The 12 speakers are listed below.

Regularization in singular spectrum analysis of functional time series
Jesse Addicory

Simulation and harmonic analysis of k-space readout
John Bodenschatz

Improving 3D complex geometric optics EIT reconstruction with a priori information
emily corcoran

Learning-based CT image reconstruction with improved signal detection loss
Megan Lantz

Spatial correlation sampling from parallel partial emulators for geophysical applications
joey lion

Hybrid PCA for multivariate functional and vector data
Soroush Mahmoudian Dekordi

Super-resolution recovery with implicit neural representation
Mahrok Najaf

Collective spectral density estimation for multiple multivariate time series
Shirin Nethanpour

Smooth and sparse multivariate functional principal component analysis
Mobina Pulmosir

A linguistic-theoretical approach to enumerating bounded permutations
Eric Redmon

Applying gradient kernel dimensionality reduction and parallel partial link emulator to post-fire debris flow data
Josh Seedman

CAIPI Approach to Simultaneous Multislice Technique to Improve Activation Detection in FMRI
Ke Xu

For more information, visit the department’s website or email naveen.bansal@marquette.edu.



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