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--- aira:start [2026/05/15 14:06] – [Schedule Spring 2026] mzk
+++ aira:start [2026/05/15 15:27] (current) – [2026-05-21] mzk
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 ===== Schedule Spring 2026 =====
-  * **[RESEARCH TRACK] 2026.05.21**: Jan Argasiński,  assistant professor @ Jagiellonian University, [[#section20260521|A Tract Density Biomarker for Survival Prediction in Glioblastoma]]
+  * **[RESEARCH TRACK] 2026.05.21**: Jan Argasiński,  assistant professor @ Jagiellonian University, [[#section20260521|Computational Neuroscience at Sano (Centre for Computational Medicine): Current Research and a Spotlight on “A Tract Density Biomarker for Survival Prediction in Glioblastoma”]]
     * Meeting link:[[https://teams.microsoft.com/meet/325587359264791?p=u7BhZIs7GL9MEk6U2J|MS Teams]]
     * Recording:  TDA
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+==== 2026-05-21 ====
+<WRAP column 15%>
+{{ :aira:jan-argasinski-foto.png?200| }}
+</WRAP>
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+**Speaker**: Jan Argasiński,  assistant professor @ Jagiellonian University
+**Title**: Computational Neuroscience at Sano (Centre for Computational Medicine): Current Research and a Spotlight on “A Tract Density Biomarker for Survival Prediction in Glioblastoma”
+**Abstract**:
+Significant computational capabilities of modern FPGAs, combined with high-level methodologies for developing their configuration, open new areas where unique features of this technology can be exploited, such as real-time processing, deterministic latency, reconfigurability, and low power consumption. As part of my research, I decided to explore the capabilities of this technology across data with various characteristics, develop a set of best-practice data processing techniques, and verify them using real-world use cases originating from large scale physics-experiments, medical imaging and computer networks.
+**Biogram**:
+Expert in the field of Field Programmable Gate Arrays (FPGA) technology with many years of experience acquired while working in international research projects. Ph.D. in technical sciences in the discipline of computer science obtained for the design and implementation of the data acquisition system for the HADES experiment detector system, which has also been used in dozens of other applications. Popularizer of FPGA technology by organizing conferences and training program in this field on a national scale. Since 2018 conducts research on the use of FPGAs in subjects related to processing massive amount of streamlined data such as in High Performance Computing, low and fixed latency networking. Technical coordinator of the Data Acquisition System in the PANDA experiment.
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+<WRAP clear></WRAP>
 ==== 2026-05-14 ====