Prediction and characterization of application power use in a high-performance computing environment. - Bruce Bugbee; Caleb Phillips; Hilary Egan; Ryan Elmore; Kenny Gruchalla; Avi Purkayastha (Stat. Anal. Data Min., 2017)

Data Center Facility Monitoring with Physics Aware Approach. - Hilary Egan; Avi Purkayastha; David Sickinger (ISC Workshops, 2022)

Autonomy Loops for Monitoring, Operational Data Analytics, Feedback, and Response in HPC Operations. - Francieli Boito; Jim M. Brandt; Valeria Cardellini; Philip H. Carns; Florina M. Ciorba; Hilary Egan; Ahmed Eleliemy; Ann C. Gentile; Thomas Gruber; Jeff Hanson; Utz-Uwe Haus; Kevin A. Huck; et al. (CLUSTER Workshops, 2023)

HTEM AI-XRD: Large-scale deployment of AI interpretation of X-Ray Diffraction Spectra. - Hilary Egan; Max C. Gallant; Davi Febba Marcelo; Nick Wunder; Joseph Smith; Andriy Zakutayev (PEARC, 2024)

A Beginner's Guide to Power and Energy Measurement and Estimation for Computing and Machine Learning. - Akshaya Jagannadharao; Nicole Beckage; Sovan Biswas; Hilary Egan; Jamil Gafur; Thijs Metsch; Dawn Nafus; Giuseppe Raffa; Charles Tripp (CoRR, 2024)

Adaptive Computing for Scale-Up Problems. - Kevin Patrick Griffin; Hilary Egan; Marc T. Henry de Frahan; Juliane Mueller 002; Deepthi Vaidhynathan; Dylan Wald; Rohit Chintala; Olga A. Doronina; Hariswaran Sitaraman; Ethan Young; Ryan King; Jibonananda Sanyal; et al. (Comput. Sci. Eng., 2025)

Understanding Computational Science and Domain Science Skills Development in National Laboratory Graduate Internships. - Morgan M. Fong; Hilary Egan; Marc Day; Kristin Potter; Michael James Martin (CoRR, 2025)

Mind the Gap: Bridging the Divide Between AI Aspirations and the Reality of Autonomous Characterization. - Grace Guinan; Addison Salvador; Michelle A. Smeaton; Andrew Glaws; Hilary Egan; Brian C. Wyatt; Babak Anasori; Kevin R. Fiedler; Matthew J. Olszta; Steven R. Spurgeon (CoRR, 2025)