{"id":30871,"date":"2026-05-20T16:47:26","date_gmt":"2026-05-20T14:47:26","guid":{"rendered":"https:\/\/sano.science\/?post_type=seminars&p=30871"},"modified":"2026-05-28T13:50:38","modified_gmt":"2026-05-28T11:50:38","slug":"sano-centre-posters-at-the-ku-kdm-2026","status":"publish","type":"seminars","link":"https:\/\/sano.science\/seminars\/sano-centre-posters-at-the-ku-kdm-2026\/","title":{"rendered":"191. Sano Centre posters at the KU KDM 2026"},"content":{"rendered":"\n

1. Benchmarking a Heterogeneous Metagenomics Pipeline on Ares and Helios Supercomputers<\/strong> – Piotr Kica<\/em>; Kinga Zieli\u0144ska; Micha\u0142 Orzechowski; Karol Zaj\u0105c; Tomasz Ko\u015bci\u00f3\u0142ek; Maciej Malawski<\/p>\n\n\n\n

https:\/\/sano.science\/people\/piotr-kica\/<\/a>
2. HPC in Global Quantification and Personalization of Regulated Cardiovascular Model \u2013 a Cohort Study<\/strong> – Karolina Tla\u0142ka<\/em>; Ian Halliday; Andrew Narracott; Maciej Malawski<\/p>\n\n\n\n

https:\/\/sano.science\/people\/karolina-tlalka\/<\/a>
3. Automating CFD Workflows on HPC with PyFluent: from Batch Simulations to Large-Scale Study<\/strong> – Karol Zaj\u0105c<\/em>; Magdalena Otta<\/em>; Maciej Malawski; Andrew Narracott<\/p>\n\n\n\n

https:\/\/sano.science\/people\/karol-zajac\/<\/a>
4. PubDB: an Institutional Publication Database for KPI Monitoring and Visibility<\/strong> – Taras Zhyhulin<\/em>; Adam Nowak; Jan Meizner; Piotr Nowakowski<\/p>\n\n\n\n

https:\/\/sano.science\/people\/taras-zhyhulin\/<\/a>
5. Evaluating the Stability of Deep Neural Networks for Brain Microstructural Parameter Estimation under Varying Diffusion Gradient Schemes<\/strong> – Dominika Ciupek<\/em>; Maciej Malawski; Tomasz Pi\u0119ciak<\/p>\n\n\n\n

https:\/\/sano.science\/people\/dominika-ciupek\/<\/a>
6. High\u2011Throughput Statistical Shape Modelling of Venous Anatomy Using Containerised Deformetrica on Ares Supercomputer<\/strong> – Magdalena Otta<\/em>; Piotr Kica; Maciej Malawski<\/p>\n\n\n\n

https:\/\/sano.science\/people\/magdalena-otta\/<\/a>
7. Using High Performance Computing for the Application of PINNs in Cardiovascular Models<\/strong> – Elena Gomez del Pozo<\/em>; Karolina Tla\u0142ka; Karol Zaj\u0105c; Maciej Malawski;<\/p>\n\n\n\n

https:\/\/sano.science\/people\/elena-gomez-del-pozo\/<\/a><\/p>\n\n\n\n

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Sano Representatives at the High Performance Computing Users<\/a><\/blockquote>