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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
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Blog Post number 4
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Blog Post number 3
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Blog Post number 2
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Blog Post number 1
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portfolio
Portfolio item number 1
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Portfolio item number 2
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publications
A Novel Convolutional Neural Network for Emotion Recognition Using Neurophysiological Signals
Marc Tunnell, Huijin Chung, Yuchou Chang
Published: International Conference on Robotics and Automation (ICRA), 2022
Presented at ICRA in May 2022, this paper introduces a novel convolutional neural network for emotion recognition using neurophysiological signals.
Generating Very Large-Scale Unstructured Meshes for Storm-Surge Modelling: Parallelizing the JIGSAW Library
Marc Tunnell, Darren Engwirda
Presented: AGU Fall Meeting, 2022
Presented at the AGU Fall Meeting 2022, this summary describes the parallelization of the JIGSAW library for generating large-scale unstructured meshes.
Fast Gaussian Process Emulation of Mars Global Climate Model
Marc Tunnell, Nathaniel Bowman, Erin Carrier
Published: AGU Earth & Space Science, 2023
Published in September 2023, this work presents a fast Gaussian process emulation method for the Mars Global Climate Model.
Value-Compressed Sparse Column (VCSC): Sparse Matrix Storage for Redundant Data
Skylar Ruiter, Seth Wolfgang, Marc Tunnell, Timothy Triche, Erin Carrier, Zachary DeBruine
Published: Data Compression Conference (DCC), 2024
Accepted as a one-page summary for DCC 2024.
Parallel Incomplete LU Factorizations Based on Alternating Triangle Solves
Marc Tunnell, Erik Boman
Submitted: Sandia Internal, 2024
A technical report on the development of parallel incomplete LU factorizations based on alternating triangle solves.
Rank Suggestion in Non-negative Matrix Factorization: Residual Sensitivity to Initial Conditions (RSIC)
Marc Tunnell, Zachary DeBruine, Erin Carrier
Accepted: TMLR, 2025
This paper proposes a method for rank suggestion in non-negative matrix factorization through sensitivity analysis, accepted for publication.
research-experience
National Science Foundation REU
A Novel Convolutional Neural Network for Emotion Recognition Using Neurophysiological Signals.
Undergraduate Research
Fast Gaussian Process Emulation for Mars Global Climate Model.
LANL Parallel Computing Summer Research Internship
Generating Very Large-Scale Unstructured Meshes for Storm-Surge Modelling.
Applied Computing Institute
Accelerating Large Scale Non-negative Matrix Factorizations with CUDA.
Applied Computing Institute
Value-Compressed Sparse Column (VCSC): Sparse Matrix Storage for Redundant Data
Collaborative Research
Development of a novel in-memory accelerated preconditioner.
PhD Research
Evaluating the efficacy of preconditioners in solving real-world problems.
talks
A Novel Convolutional Neural Network for Emotion Recognition Using Neurophysiological Signals
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This oral presentation was given at the final presentation session for the NSF REU program at UMass, Dartmouth, discussing a novel convolutional neural network for emotion recognition using neurophysiological signals.
Panel on Involvement in Undergraduate Research
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This panel participation involved discussing experiences and involvement in undergraduate research.
Novel Convolutional Neural Network for Emotion Recognition Using Neurophysiological Signals
Published:
This oral presentation at the IEEE International Conference on Robotics and Automation 2022 introduced a novel convolutional neural network designed for emotion recognition using neurophysiological signals.
Fast Gaussian Process Emulation for Mars Global Climate Model
Published:
This poster presentation at the 26th Annual Student Scholars Day presented a fast Gaussian process emulation for the Mars Global Climate Model.
Fast Gaussian Process Emulation for Mars Global Climate Model
Published:
This poster presentation at Midwest Numerical Analysis Day 2022 focused on a fast Gaussian process emulation method for the Mars Global Climate Model.
Generating Very Large-Scale Unstructured Meshes for Storm-Surge Modelling: Parallelizing the JIGSAW Library
Published:
This oral presentation at the LANL Student Symposium 2022 covered the development of a parallel implementation of the JIGSAW library for generating large-scale unstructured meshes used in storm-surge modeling.
Accelerating Large Scale Non-Negative Matrix Factorizations with CUDA
Published:
This poster presentation at the West Michigan Regional Undergraduate Science Conference discussed the acceleration of large-scale non-negative matrix factorizations using CUDA.
Generating Very Large-Scale Unstructured Meshes for Storm-Surge Modelling: Parallelizing the JIGSAW Library
Published:
This poster presentation at the AGU Fall Meeting 2022 focused on the generation of very large-scale unstructured meshes for storm-surge modeling, specifically the parallelization of the JIGSAW library.
teaching
Mathematics Tutor
Undergraduate Tutor, Grand Valley State University, Department of Mathematics, 2020
I was a mathematics tutor throughout my undergraduate degree at GVSU.
CS 240 Teaching Assistant
Teaching Assistant, Purdue University, Department of Computer Science, 2023
CS 240 Programming in C. Lead discussion sections, labs, office hours, and online discussion forums.
CS 240 Teaching Assistant
Teaching Assistant, Purdue University, Department of Computer Science, 2024
CS 240 Programming in C. Lead discussion sections, labs, office hours, and online discussion forums.
CS 515 Teaching Assistant
Teaching Assistant, Purdue University, Department of Computer Science, 2024
CS 515 Numerical Linear Algebra (Graduate). Lead office hours and online discussion forums, create homework questions, and grade assignments
volunteer-work
Undergraduate Research Fair
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Represented the Department of Mathematics (2021) and the School of Computer Information Systems (2022, 2023) at the annual undergraduate research fair, aimed at increasing undergraduate engagement in research.
Graduate Student Interview with Prospective Computer Science Heads
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Selected to engage with the final three candidates for the Computer Science department head position and provide input on the direction of the department.
Graduate Student Senate
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Served as a member of the Board Constitution Review Committee for the Graduate Student Senate at Purdue University during Fall 2024.
Prospective PhD Student Visit Day
Collaborated with administration on revamping the prospective student visit day. I submitted a proposal for a revamped visit day to Ha Nguyen, the program administrator, and collaborated with her in developing the visit day. Initial feedback for the visit day was highly positive.
2025 Inaugural Graduate Research Symposium Committee Member
Organized and co-hosted the inaugural graduate research symposium. Together with three other committee members, we spent over 1000 hours developing materials and guidelines for hosting the event, which went smoothly and without issue. This was by far the largest event run by the graduate student board, in which attendance was well over 200 people. This event was hosted on the second day of visit day for prospective students and was widely praised in feedback from students, faculty, and staff.