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--- aira:start [2026/04/07 08:25] – [Schedule Spring 2026] mzk
+++ aira:start [2026/05/15 15:27] (current) – [2026-05-21] mzk
@@ Line 21: / Line 21: @@
 ===== Schedule Spring 2026 =====
+  * **[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
+    * Presentation slides:  TDA
+  * **[RESEARCH TRACK] 2026.05.14**: Grzegorz Korcyl,  assistant professor @ Jagiellonian University, [[#section20260514|Innovative data processing methods on field programmable gate arrays (FPGAs)]]
+    * Meeting link:[[https://teams.microsoft.com/meet/373763391192108?p=pFLRPFxMHuCjgEGpfY|MS Teams]]
+    * Recording:  [[https://ujchmura.sharepoint.com/:v:/t/Section_495645_1/IQC_U4aUF3QqSrlH-oUgaQykASQMD0HRn4AVp3Xk6CFuFgk?e=s6Z97b|View]]
+    * Presentation slides:  {{:aira:slides-grzegorz-korcyl-2026-05-14.pdf|Download}}
+  * **[RESEARCH TRACK] 2026.04.16**: Patrick Altmeyer,  Researcher @ Delft University of Technology, [[#section20260416|Explaining Models or Modelling Explanations? Counterfactual Explanations and Algorithmic Recourse for Trustworthy AI]]
+    * Meeting link:[[https://teams.microsoft.com/meet/372057591033533?p=u4Kxst3Eu3DsxRwxw8|MS Teams]]
+    * Recording: [[https://ujchmura.sharepoint.com/:v:/t/Section_495645_1/IQBnzx56wup2SqdgH7vcGMsTAVLulmE_zJmARUq1q1R49og?e=HHKlf1|View]]
+    * Presentation slides: {{:aira:slides-patrick-altmeyer-2026-04-16.pdf|Download}}
   * **[PHD TRACK] 2026.04.09**: Dmytro Polishchuk,  PhD Candidate @ Jagiellonian University, [[#section20260409|A Time-Aware GitHub Mining Framework for Empirical Software Quality Studies.]]
     * Meeting link: [[https://teams.microsoft.com/meet/357521097755345?p=DozT4DQGJzfZH4PXfD|MS Teams]]
-    * Recording:  TDA
+    * Recording:  [[https://ujchmura.sharepoint.com/:v:/t/Section_495645_1/IQBZU45fdhPPTJ780XqynOeuAVb4v5B4fIOgb0KD1EKkI5U?e=aGWY1Z|View]]
     * Presentation slides:  TDA
@@ Line 550: / Line 565: @@
+==== 2026-05-21 ====
+<WRAP column 15%>
+{{ :aira:jan-argasinski-foto.png?200| }}
+</WRAP>
+<WRAP column 75%>
+**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.
+</WRAP>
+<WRAP clear></WRAP>
+==== 2026-05-14 ====
+<WRAP column 15%>
+{{ :aira:grzegorz-korcyl-foto.jpeg?200| }}
+</WRAP>
+<WRAP column 75%>
+**Speaker**: Grzegorz Korcyl,  assistant professor @ Jagiellonian University
+**Title**: Innovative data processing methods on field programmable gate arrays (FPGAs)
+**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.
+</WRAP>
+<WRAP clear></WRAP>
+==== 2026-04-16 ====
+<WRAP column 15%>
+{{ :aira:patrick-altmeyer-foto.png?200| }}
+</WRAP>
+<WRAP column 75%>
+**Speaker**: Patrick Altmeyer,  Researcher @ Delft University of Technology
+**Title**: Explaining Models or Modelling Explanations? Counterfactual Explanations and Algorithmic Recourse for Trustworthy AI
+**Abstract**:
+Counterfactual explanations (CE) and algorithmic recourse (AR) have emerged as promising approaches towards explaining opaque machine learning models and empowering individuals affected by them. This seminar will explore unexpected challenges and new opportunities in this context and demonstrate how counterfactuals can be used to improve the trustworthiness of models . It will summarize some of the main findings of Patrick's Ph.D. research: https://www.patalt.org/thesis/. The slides will be made available on the website ahead of the seminar.
+**Biogram**:
+Patrick is a trained economist, computer scientist, and researcher. In his research, he has challenged long-standing paradigms in explainable AI, developed novel methods to make AI more trustworthy, and questioned hyperbolic claims about AGI. Patrick is also experienced an open-source software developer and the core developer and maintainer of Trustworthy Artificial Intelligence in Julia (Taija).
+</WRAP>
+<WRAP clear></WRAP>
+==== 2026-04-09 ====
+<WRAP column 15%>
+{{ :aira:dmytro-polishchuk-foto.png?200| }}
+</WRAP>
+<WRAP column 75%>
+**Speaker**: Dmytro Polishchuk,  PhD Candidate @ Jagiellonian University
+**Title**: A Time-Aware GitHub Mining Framework for Empirical Software Quality Studies.
+**Abstract**:
+This research focuses on designing an automated system to assess the quality of GitHub repositories based on a predefined quality model. The proposed approach evaluates repositories using a range of metrics, including commit history and its associated metadata (such as size, timestamps, and descriptions), code coverage, pull request review duration, issue resolution time, the number of open issues, code churn, and code complexity.
+In addition, the system may incorporate further quality indicators, potentially drawing on established frameworks such as ISO/IEC 25010:2011, to provide a more comprehensive and standardized evaluation.
+**Biogram**:
+Software engineer with a background in the telecom domain, specializing in network management systems and Software Defined Networking (SDN). Experienced in performance engineering, including byte code instrumentation, and has worked across various technologies, including IoT. Previously contributed to major companies like Ericsson, Cisco Systems, and Playtech.
+</WRAP>
+<WRAP clear></WRAP>
 ==== 2026-03-26 ====