Push Me Pull You: Integrating Opposing Data Transport Modes for Efficient HPC Application Monitoring. - Omar Aaziz; Jonathan Cook 001; Hadi Sharifi (CLUSTER, 2015)

Automatically Instrumenting Scientific Applications to Produce Heartbeat Events. - Mohammed Tanash; Nasim Ghazanfari; Omar Aaziz; Jonathan Cook 001 (IPDPS Workshops, 2016)

YAViT (Yet Another Viz Tool): Raising the Level of Abstraction in End-User HPC Interactions. - Omar Aaziz; Ujjwal Panthi; Jonathan Cook 001 (CLUSTER, 2017)

The dark side of technology: An experimental investigation of the influence of customizability technology on online political selective exposure. - Ivan B. Dylko; Igor Dolgov; William Hoffman; Nicholas Eckhart; Maria D. Molina; Omar Aaziz (Comput. Hum. Behav., 2017)

A Methodology for Characterizing the Correspondence Between Real and Proxy Applications. - Omar Aaziz; Jeanine E. Cook; Jonathan Cook 001; Tanner Juedeman; David Richards; Courtenay Vaughan (CLUSTER, 2018)

Modeling Expected Application Runtime for Characterizing and Assessing Job Performance. - Omar Aaziz; Jonathan Cook 001; Mohammed Tanash (CLUSTER, 2018)

Exploring and Quantifying How Communication Behaviors in Proxies Relate to Real Applications. - Omar Aaziz; Jeanine E. Cook; Jonathan E. Cook 001; Courtenay Vaughan (PMBS@SC, 2018)

Proxy or Imposter? A Method and Case Study to Determine the Answer. - Omar Aaziz; Jeanine E. Cook; Courtenay Vaughan; David Richards (CLUSTER, 2019)

Fine-Grained Analysis of Communication Similarity between Real and Proxy Applications. - Omar Aaziz; Courtenay Vaughan; Jonathan E. Cook 001; Jeanine E. Cook; Jeffery Kuehn; David Richards (PMBS@SC, 2019)

Exploring Chapel Productivity Using Some Graph Algorithms. - Richard F. Barrett; Jeanine E. Cook; Stephen L. Olivier; Omar Aaziz; Christipher D. Jenkins; Courtenay T. Vaughan (IPDPS Workshops, 2020)

E2EWatch: An End-to-End Anomaly Diagnosis Framework for Production HPC Systems. - Burak Aksar; Benjamin Schwaller; Omar Aaziz; Vitus J. Leung; Jim M. Brandt; Manuel Egele; Ayse K. Coskun (Euro-Par, 2021)

Using Monitoring Data to Improve HPC Performance via Network-Data-Driven Allocation. - Yijia Zhang 002; Burak Aksar; Omar Aaziz; Benjamin Schwaller; Jim M. Brandt; Vitus J. Leung; Manuel Egele; Ayse K. Coskun (HPEC, 2021)

Proctor: A Semi-Supervised Performance Anomaly Diagnosis Framework for Production HPC Systems. - Burak Aksar; Yijia Zhang 002; Emre Ates; Benjamin Schwaller; Omar Aaziz; Vitus J. Leung; Jim M. Brandt; Manuel Egele; Ayse K. Coskun (ISC, 2021)

IncProf: Efficient Source-Oriented Phase Identification for Application Behavior Understanding. - Omar Aaziz; Mohammad Al-Tahat; Strahinja Trecakov; Jonathan Cook 001 (CLUSTER, 2022)

ALBADross: Active Learning Based Anomaly Diagnosis for Production HPC Systems. - Burak Aksar; Efe Sencan; Benjamin Schwaller; Omar Aaziz; Vitus J. Leung; Jim M. Brandt; Brian Kulis; Ayse K. Coskun (CLUSTER, 2022)

LDMS Darshan Connector: For Run Time Diagnosis of HPC Application I/O Performance. - Sara Walton; Omar Aaziz; Ana Luisa Veroneze Solórzano; Benjamin Schwaller (CLUSTER, 2022)

Evaluating HPC Job Run Time Predictions Using Application Input Parameters. - Kenneth Lamar; Alexander V. Goponenko; Omar Aaziz; Benjamin A. Allan; James M. Brandt; Damian Dechev (DEBS, 2023)

Prodigy: Towards Unsupervised Anomaly Detection in Production HPC Systems. - Burak Aksar; Efe Sencan; Benjamin Schwaller; Omar Aaziz; Vitus J. Leung; Jim M. Brandt; Brian Kulis; Manuel Egele; Ayse K. Coskun (SC, 2023)

Runtime Performance Anomaly Diagnosis in Production HPC Systems Using Active Learning. - Burak Aksar; Efe Sencan; Benjamin Schwaller; Omar Aaziz; Vitus J. Leung; Jim M. Brandt; Brian Kulis; Manuel Egele; Ayse K. Coskun (IEEE Trans. Parallel Distributed Syst., 2024)