PyGASP: Python-based GPU-accelerated signal processing. - Nathaniel Bowman; Erin Carrier; Greg Wolffe (EIT, 2013)

Exploiting compression in solving discretized linear systems - Erin Carrier (2019)

Identifying High-Risk Workspaces during COVID-19 using Machine Learning. - Lex Drennan; Matthew Chesser; Jorge Lozano; Erin Carrier (FLAIRS, 2021)

An Augmented Image Captioning Model: Incorporating Hierarchical Image Information. - Nathan Funckes; Erin Carrier; Greg Wolffe (ICMLA, 2021)

Predicting COVID-19 Case Counts using Twitter Image Data. - Seth Ockerman; Erin Carrier (ICMLA, 2022)

Value-Compressed Sparse Column (VCSC): Sparse Matrix Storage for Single-cell Omics Data. - Seth Wolfgang; Skyler Ruiter; Marc A. Tunnell; Timothy Triche Jr.; Erin Carrier; Zachary J. DeBruine (IEEE Big Data, 2024)

Value-Compressed Sparse Column (VCSC): Sparse Matrix Storage for Redundant Data. - Skyler Ruiter; Seth Wolfgang; Marc A. Tunnell; Timothy Triche Jr.; Erin Carrier; Zachary J. DeBruine (DCC, 2024)

Evaluating Parallel Sliding Window Techniques: Algorithmic and Multi-GPU Advancements with Fast-PII. - Seth Ockerman; Erin Carrier (GPGPU@PPoPP, 2025)

Rank Suggestion in Non-negative Matrix Factorization: Residual Sensitivity to Initial Conditions (RSIC). - Marc A. Tunnell; Zachary J. DeBruine; Erin Carrier (Trans. Mach. Learn. Res., 2025)