Uncertainty quantification-as-a-service. - Malgorzata J. Zimon; Vadim V. Elisseev; Robert Sawko; Samuel Antão; Kirk E. Jordan (CASCON, 2018)

Improving Performance and Energy Efficiency on OpenPower Systems Using Scalable Hardware-Software Co-design. - Milos Puzovic; Vadim V. Elisseev; Kirk E. Jordan; James L. McDonagh; Alexander Harrison; Robert Sawko (ISC Workshops, 2018)

Enabling UQ for Complex Modelling Workflows. - Malgorzata J. Zimon; Samuel Antão; Robert Sawko; Alex Skillen; Vadim V. Elisseev (ICCS (5), 2019)

HPC-cloud native framework for concurrent simulation, analysis and visualization of CFD workflows. - Carlos Peña-Monferrer; Robert Sawko; Vadim V. Elisseev (Future Gener. Comput. Syst., 2021)

Multiscale scientific workflows on high-performance hybrid cloud. - Vadim V. Elisseev; Robert Manson-Sawko; Carlos Peña-Monferrer; Guido Lupieri; Michael Seaton 001; Gianluca Boccardo; Jan-Willem Handgraaf; Ilian T. Todorov; Daniele L. Marchisio; Adam Kowalski (CANOPIE-HPC@SC, 2022)

Effective Generation of Compressed Stationary Gaussian Fields. - Robert Sawko; Malgorzata J. Zimon (SIAM/ASA J. Uncertain. Quantification, 2022)

A computational framework for modelling infectious disease policy based on age and household structure with applications to the COVID-19 pandemic. - Joe Hilton; Heather Riley; Lorenzo Pellis; Rabia Aziza; Samuel P. C. Brand; Ivy K. Kombe; John Ojal; Andrea Parisi; Matt J. Keeling; D. James Nokes; Robert Manson-Sawko; Thomas A. House (PLoS Comput. Biol., 2022)

Performance-Portable Multiphase Flow Solutions with Discontinuous Galerkin Methods. - Tobias S. Flynn; Robert Manson-Sawko; Gihan R. Mudalige (IPDPS, 2024)