| 2026 | HPDC | Robust I/O Characterization of Machine Learning Workloads Across Performance Analysis Tools. | Zoya Masih, Radita Liem, Julian M. Kunkel |
| 2026 | SSDBM | Aligning Storage Benchmark Metrics with Application-Level Performance. | Radita Liem, Khoa Nguyen, Julian M. Kunkel, Jay F. Lofstead, Sarah Neuwirth |
| 2025 | CLUSTER | Towards an Optimal IO500 Configuration: Literature Meets Empirical Evaluation. | Hadi Ahmad, Radita Liem, Jay F. Lofstead |
| 2025 | HiPC | Maximizing Insights, Minimizing Data: I/O Time Prediction Using Transfer Learning. | Adrian Vo, Radita Liem, Julian M. Kunkel, Jay F. Lofstead, Philip H. Carns, Matthias Mller |
| 2025 | HPDC | Factors Impacting I/O Time Proportion in AI Workloads. | Zoya Masih, Radita Liem, Julian M. Kunkel |
| 2024 | CLUSTER | Challenges in Understanding Metadata Performance: A Case of Metadata Analysis Using Score-P. | Boris Kosmynin, Radita Liem |
| 2024 | SC | EE-HPC a Framework for Energy Efficient HPC System Management. | Christian Terboven, Radita Liem, Jos Gracia, Kingshuk Haldar, J. F. Engels, Pay Giesselmann, David Brayford, Torsten Wilde, Christian Simmendinger, Marcel Marquardt, Jan Eitzinger, Thomas Gruber |
| 2024 | SBAC-PAD | High-Quality I/O Bandwidth Prediction with Minimal Data via Transfer Learning Workflow. | Dmytro Povaliaiev, Radita Liem, Julian M. Kunkel, Jay F. Lofstead, Philip H. Carns |
| 2023 | CLUSTER | Mango-IO: I/O Metrics Consistency Analysis. | Radita Liem, Sebastian Oeste, Jay F. Lofstead, Julian M. Kunkel |
| 2022 | HPDC | PERMAVOST '22: Workshop on Performance EngineeRing, Modelling, Analysis, and VisualizatiOn Strategy. | Radita Liem, Ana Veroneze Solorzano, Connor Scully-Allison |
| 2022 | HPDC | PERMAVOST'22 Discussion Panel: Domain Scientists vs. Performance Analysis Tools: Advancing in HPC. | Radita Liem, Connor Scully-Allison, Ana Veroneze Solorzano, Kristopher Keipert, Rafael Ferreira da Silva, Suraj P. Kesavan, Tirthak Patel |