An evaluation framework for scientific programming productivity: position paper. - W. K. Umayanganie Munipala; Shirley V. Moore (SE4Science@ICSE, 2016)

Code Complexity versus Performance for GPU-accelerated Scientific Applications. - W. K. Umayanganie Munipala; Shirley V. Moore (SE-HPCCSE@SC, 2016)

Tuyere: enabling scalable memory workloads for system exploration. - Ivy Bo Peng; Jeffrey S. Vetter; Shirley V. Moore; Seyong Lee (HPDC, 2018)

Prometheus: Coherent Exploration of Hardware and Software Optimizations Using Aspen. - Mariam Umar; Shirley V. Moore; Jeffrey S. Vetter; Kirk W. Cameron (MASCOTS, 2018)

Aspen-based performance and energy modeling frameworks. - Mariam Umar; Shirley V. Moore; Jeremy S. Meredith; Jeffrey S. Vetter; Kirk W. Cameron (J. Parallel Distributed Comput., 2018)

QCOR: A Language Extension Specification for the Heterogeneous Quantum-Classical Model of Computation. - Tiffany M. Mintz; Alexander J. McCaskey; Eugene F. Dumitrescu; Shirley V. Moore; Sarah Powers; Pavel Lougovski (ACM J. Emerg. Technol. Comput. Syst., 2020)

High Performance Adaptive Physics Refinement to Enable Large-Scale Tracking of Cancer Cell Trajectory. - Daniel F. Puleri; Sayan Roychowdhury; Peter Balogh; John Gounley; Erik W. Draeger; Jeff Ames; Adebayo Adebiyi; Simbarashe Chidyagwai; Benjamín Hernández; Seyong Lee; Shirley V. Moore; Jeffrey S. Vetter; et al. (CLUSTER, 2022)

Network Anomaly Detection Using Federated Learning. - William Marfo; Deepak K. Tosh; Shirley V. Moore (MILCOM, 2022)

Condition monitoring and anomaly detection in cyber-physical systems. - William Marfo; Deepak K. Tosh; Shirley V. Moore (SoSE, 2022)

The Exascale Framework for High Fidelity coupled Simulations (EFFIS): Enabling whole device modeling in fusion science. - Eric Suchyta; Scott Klasky; Norbert Podhorszki; Matthew Wolf; Abolaji D. Adesoji; Choong-Seock Chang; Jong Choi 001; Philip E. Davis; Julien Dominski; Stéphane Ethier; Ian T. Foster; Kai Germaschewski; et al. (Int. J. High Perform. Comput. Appl., 2022)

Propagation Pattern for Moment Representation of the Lattice Boltzmann Method. - John Gounley; Madhurima Vardhan; Erik W. Draeger; Pedro Valero-Lara; Shirley V. Moore; Amanda Randles (IEEE Trans. Parallel Distributed Syst., 2022)

Enhancing Network Anomaly Detection Using Graph Neural Networks. - William Marfo; Deepak K. Tosh; Shirley V. Moore (MedComNet, 2024)

Detecting Masquerade Attacks in Controller Area Networks Using Graph Machine Learning. - William Marfo; Pablo Moriano; Deepak K. Tosh; Shirley V. Moore (CoRR, 2024)

Network Anomaly Detection in Distributed Edge Computing Infrastructure. - William Marfo; Enrique A. Rico; Deepak K. Tosh; Shirley V. Moore (CCNC, 2025)

Efficient Client Selection in Federated Learning. - William Marfo; Deepak K. Tosh; Shirley V. Moore (CCNC, 2025)

Adaptive Client Selection in Federated Learning: A Network Anomaly Detection Use Case. - William Marfo; Deepak K. Tosh; Shirley V. Moore (ICNC, 2025)

Federated Learning for Efficient Condition Monitoring and Anomaly Detection in Industrial Cyber-Physical Systems. - William Marfo; Deepak K. Tosh; Shirley V. Moore (ICNC, 2025)

Reducing Communication Overhead in Federated Learning for Network Anomaly Detection with Adaptive Client Selection. - William Marfo; Deepak K. Tosh; Shirley V. Moore; Joshua Suetterlein; Joseph B. Manzano (CoRR, 2025)