Differences

This shows you the differences between two versions of the page.

--- aira:start [2025/04/01 08:13] – [2025-03-27] mzk
+++ aira:start [2025/06/11 00:23] (current) – [Schedule Spring 2025] mzk
@@ Line 15: / Line 15: @@
 ===== Schedule Spring 2025 =====
+  * **[Research Track] 2025.06.05**: Elżbieta Sroka,  PhD @ Łukasiewicz Research Network - EMAG Institute of Innovative Technologies, [[#section20250605| Interaction Design in Consideration of User Research and UX Specialist Perspectives.]]
+    * Meeting link:[[https://teams.microsoft.com/l/meetup-join/19%3aJF1L0935A7eV6s8R9brG5MMYONrqy4XmxPSYLeRMCGM1%40thread.tacv2/1748969648131?context=%7b%22Tid%22%3a%22eb0e26eb-bfbe-47d2-9e90-ebd2426dbceb%22%2c%22Oid%22%3a%22a39bd3b1-7b43-47ab-b5ec-29d9ab0ccbb2%22%7d|MS Teams]]
+    * Recording:  [[https://ujchmura.sharepoint.com/:v:/t/Section_495645_1/EXXr2Bww-WlGtD4kSo63kioBnlcBhajhN7zEXY22ok6huw?e=zPIl1S|View]]
+    * Presentation slides:  {{:aira:slides-elżbieta-sroka-2025-06-05.pdf|Download}}
+  * **[PHD TRACK] 2025.05.29**: Bogdan Gulowaty, PhD @ Wrocław University of Science and Technology, [[#section20250529|Building transparent classification models.]]
+    * Meeting link:[[https://teams.microsoft.com/l/meetup-join/19%3aJF1L0935A7eV6s8R9brG5MMYONrqy4XmxPSYLeRMCGM1%40thread.tacv2/1748506829263?context=%7b%22Tid%22%3a%22eb0e26eb-bfbe-47d2-9e90-ebd2426dbceb%22%2c%22Oid%22%3a%22a39bd3b1-7b43-47ab-b5ec-29d9ab0ccbb2%22%7d|MS Teams]]
+    * Recording:  [[https://ujchmura.sharepoint.com/:v:/t/Section_495645_1/EZxjf0UnTCtChkK4Lk39qcIBDU9df_PNwuCe9D_2MpFn_w?e=GtoV3X|View]]
+    * Presentation slides:  {{:aira:slides-bogdan-gulowaty-2025-05-29.pdf|Download}}
+  * **[PHD TRACK] 2025.05.22**: Jacek Karolczak,  PhD Candidate @ Poznań University of Technology, [[#section20250522|Explainable AI: Moving from numbers to meaningful insights via prototype-based explanations.]]
+    * Meeting link:[[https://teams.microsoft.com/l/meetup-join/19%3aJF1L0935A7eV6s8R9brG5MMYONrqy4XmxPSYLeRMCGM1%40thread.tacv2/1747385677830?context=%7b%22Tid%22%3a%22eb0e26eb-bfbe-47d2-9e90-ebd2426dbceb%22%2c%22Oid%22%3a%22a39bd3b1-7b43-47ab-b5ec-29d9ab0ccbb2%22%7d|MS Teams]]
+    * Recording:  [[https://ujchmura.sharepoint.com/:v:/t/Section_495645_1/EYgrsIJ986RNpBAtv_11xLcBcDlCsAbrXYbUbMoTEMuSww?e=3g2tJQ|View]]
+    * Presentation slides:  {{:aira:slides-jacek karolczak-2025-05-22.pdf|Download}}
+  * **[PHD TRACK] 2025.05.15**: Anastasiya Pechko,  PhD Candidate @ Jagiellonian University, [[#section20250515|Adaptive Modular Housing Design for Crisis Situations.]]
+    * Meeting link:[[https://teams.microsoft.com/l/meetup-join/19%3aJF1L0935A7eV6s8R9brG5MMYONrqy4XmxPSYLeRMCGM1%40thread.tacv2/1746780764971?context=%7b%22Tid%22%3a%22eb0e26eb-bfbe-47d2-9e90-ebd2426dbceb%22%2c%22Oid%22%3a%22a39bd3b1-7b43-47ab-b5ec-29d9ab0ccbb2%22%7d|MS Teams]]
+    * Recording:  [[https://ujchmura.sharepoint.com/:v:/t/Section_495645_1/EbyiCvceYJdEnCVPvfgVlNsBVB5BDIsbHRpDRgc8_19rMA?e=wktReu|View]]
+    * Presentation slides:  {{:aira:slides-anastasiya-pechko-2025-05-15.pdf|Download}}
+  * **[RESEARCH TRACK] 2025.05.08**: Gianluca Guglielmo,  PhD @ Tilburg University, [[#section20250508|From Video Games to Real-life ”Games”: The Emergence of Real-life Expertise in (Serious) Video Games.]]
+    * Meeting link:[[https://teams.microsoft.com/l/meetup-join/19%3aJF1L0935A7eV6s8R9brG5MMYONrqy4XmxPSYLeRMCGM1%40thread.tacv2/1746526946846?context=%7b%22Tid%22%3a%22eb0e26eb-bfbe-47d2-9e90-ebd2426dbceb%22%2c%22Oid%22%3a%22a39bd3b1-7b43-47ab-b5ec-29d9ab0ccbb2%22%7d|MS Teams]]
+    * Recording:  [[https://ujchmura.sharepoint.com/:v:/t/Section_495645_1/EXI-yziJgQVEu8CHWewpTrABob_7ilL9hZeDNWU-OSbWWQ?e=nCNWWc|View]]
+    * Presentation slides:  {{:aira:slides-gianluca-guglielmo-2025-05-08.pdf|Download}}
+  * **[PHD TRACK] 2025.04.24**: Natalia Wojak-Strzelecka,  PhD Candidate @ Jagiellonian University, [[#section20250424|Enhancing concept drift detection, explanation and adaptation to changes in industrial data streams.]]
+    * Meeting link: [[https://teams.microsoft.com/l/meetup-join/19%3aJF1L0935A7eV6s8R9brG5MMYONrqy4XmxPSYLeRMCGM1%40thread.tacv2/1744878780977?context=%7b%22Tid%22%3a%22eb0e26eb-bfbe-47d2-9e90-ebd2426dbceb%22%2c%22Oid%22%3a%22a39bd3b1-7b43-47ab-b5ec-29d9ab0ccbb2%22%7d|MS Teams]]
+    * Recording:  [[https://ujchmura.sharepoint.com/:v:/t/Section_495645_1/EWKQNaHF8SNGhAjftjZOkZcB07wrJAXFXi4-k7saiWYx6Q?e=Iq5cb0|View]]
+    * Presentation slides:  {{:aira:slides-natalia-wojak-strzelecka-2025-04-24.pdf|Download}}
   * **[PHD TRACK] 2025.04.03**: Dmytro Polishchuk,  PhD Candidate @ Jagiellonian University, [[#section20250403|Automated GitHub Repository Quality Evaluation: A Metrics-Based Approach.]]
     * Meeting link: [[https://teams.microsoft.com/l/meetup-join/19%3aJF1L0935A7eV6s8R9brG5MMYONrqy4XmxPSYLeRMCGM1%40thread.tacv2/1743415239609?context=%7b%22Tid%22%3a%22eb0e26eb-bfbe-47d2-9e90-ebd2426dbceb%22%2c%22Oid%22%3a%22a39bd3b1-7b43-47ab-b5ec-29d9ab0ccbb2%22%7d|MS Teams]]
-    * Recording:  TDA
+    * Recording:  [[https://ujchmura.sharepoint.com/:v:/t/Section_495645_1/EWqf_EYlyY9PiBDp4s6kJDsBQo_W7RnsB9aP1WagKm0MRw?e=ROAopX|View]]
-    * Presentation slides:  TDA
+    * Presentation slides:  {{:aira:slides-dmytro-polishchuk-2025-04-03.pdf|Download}}
   * **[PHD TRACK] 2025.03.27**: Jakub Jakubowski,  PhD Candidate @ AGH University, [[#section20250327|Dry run thesis defense IN POLISH - Explainable Predictive Maintenance in Steel Rolling.]]
     * Meeting link: [[|The talk will be held stationary in room C-2-10]]
-    * Recording:  TDADry run thesis defense
+    * Recording:  - (Dry run thesis defense)
-    * Presentation slides:  TDA
+    * Presentation slides: {{:aira:slides-jakub-jakubowski-20250327.pdf|Download}}
   * **[PHD TRACK] 2025.03.13**: Maciej Szelążek,  PhD Candidate @ Jagiellonian University, [[#section20250313|Semantic Data Mining methods for decision support in smart manufacturing.]]
     * Meeting link: [[|offline mode]]
-    * Recording:  TDA
+    * Recording:  - (Dry run thesis defense)
-    * Presentation slides:  TDA
+    * Presentation slides: {{:aira:slides-maciej-szelążek-20250313.pdf|Download}}
   * **[RESEARCH TRACK] 2025.03.06**: Renata Włoch,  Professor @ University of Warsaw, [[#section20250306|Does fear of automation motivate workers to reskill?]]
@@ Line 404: / Line 434: @@
 ===== Presentation details =====
+==== 2025-06-05 ====
+<WRAP column 15%>
+{{ :aira:elzbieta-sroka-foto.jpg?200| }}
+</WRAP>
+<WRAP column 75%>
+**Speaker**:  Elżbieta Sroka,  PhD @ Łukasiewicz Research Network - EMAG Institute of Innovative Technologies
+**Title**: Interaction Design in Consideration of User Research and UX Specialist Perspectives: Artificial intelligence in UX Design, users experience in digital library and the needs of digital humanities researchers, reception of signed avatars by Deaf users.
+**Abstract**:
+The presentation presents the results of research in the field of Human-Computer Interaction (HCI), with a special focus on the needs of different user groups and the application of artificial intelligence (AI) tools in both the design and research processes. The areas discussed include: the use of AI in UX design and designers' perspectives; the experiences of digital library users, especially in the context of orientation in the field, navigation, and information retrieval; the needs of digital collection researchers and their expectations regarding AI-supported solutions; and the accessibility of research tools for Deaf people and the reception of sign avatars communicating in Polish Sign Language (PJM) in the Deaf community.
+**Biogram**:
+Elżbieta Sroka, PhD, certified UX designer, Senior Specialist at the Łukasiewicz Research Network – Institute of Innovative Technologies EMAG in Katowice, Poland.
+She obtained her doctoral degree in 2018 from the University of Silesia in Katowice, based on a dissertation focused on the digitization of social life documents in Polish digital libraries.
+Her research interests include research users information behavior, user experience (UX) design, and digital humanities, as well as applications of artificial intelligence—particularly in the context of human–AI interaction, the impact of AI on UX, and the use of AI in the study of digital collections. She also conducts research in the areas of digital accessibility, information management and information retrieval.
+</WRAP>
+<WRAP clear></WRAP>
+==== 2025-05-29 ====
+<WRAP column 15%>
+{{ :aira:Bogdan_Gulowaty_foto.jpg?200| }}
+</WRAP>
+<WRAP column 75%>
+**Speaker**: Bogdan Gulowaty,  PhD @ Wrocław University of Science and Technology
+**Title**: Building transparent classification models.
+**Abstract**:
+As AI and ML technologies advance and become deeply integrated into daily life, the need for transparent and interpretable models grows increasingly urgent. AI systems must be understandable, trustworthy, and ethical, especially in critical healthcare, finance, and legal sectors. The rise of XAI seeks to address these challenges by providing explanations of model decisions, making AI systems more transparent. However, much of the progress in XAI has focused on deep neural networks, leaving other complex models like ensemble methods needing to be explored more regarding their interpretability.
+The thesis aims to fill that gap by developing novel methods to improve the transparency and interpretability of ensemble classifiers while ensuring these models maintain competitive predictive performance and build inherently transparent models. The central hypothesis of the thesis is that it is possible to construct such transparent or explainable models that perform as well as black-box models in a wide range of classification tasks. The work focuses on three primary methods designed to either explain or replace complex models with transparent alternatives: NOTE, optimal-centroids and quad-split algorithms.
+**Biogram**:
+Finished his PhD at Wroclaw University of Technology in 2025. Full time Software Engineer. Enthusiast of mountaineering, various sports activities and motorcycling. Born in Bolesławiec, currently lives in Wrocław.
+</WRAP>
+<WRAP clear></WRAP>
+==== 2025-05-22 ====
+<WRAP column 15%>
+{{ :aira:Jacek_Karolczak_foto.jpg?200| }}
+</WRAP>
+<WRAP column 75%>
+**Speaker**: Jacek Karolczak,  PhD Candidate @ Poznań University of Technology
+**Title**: Explainable AI: Moving from numbers to meaningful insights via prototype-based explanations.
+**Abstract**:
+The increasing complexity of machine learning models has heightened the demand for their explainability. Most existing work in explainable artificial intelligence (xAI) focuses on techniques like pixel attribution or feature importance, especially Shapley values. However, these types of explanations are often criticized for being hard to interpret—not just for laypersons, but even for machine learning experts. In contrast, the XAI 2.0 manifesto advocates for concept-based explanations, such as prototypes - representative instances. This talk will introduce the problem and survey existing approaches, with a focus on recent developments in prototype-based explainability. It will also present the author’s own work on prototype-based concept drift detection, which maintains intrinsic interpretability. Finally, open challenges and directions for future work in prototype-based explainability will be discussed.
+**Biogram**:
+Jacek Karolczak is a PhD student at Poznan University of Technology, where he also earned BSc and MSc in Artificial Intelligence. His research focuses on improving the interpretability of machine learning models, particularly in dynamic environments where data continuously evolves. He believes the world of explainable AI (xAI) is shifting beyond feature-importance explanations, embracing high-level concept-based interpretations that better align with the language and reasoning of end users.
+</WRAP>
+<WRAP clear></WRAP>
+==== 2025-05-15 ====
+<WRAP column 15%>
+{{ :aira:Anastasiya_Pechko_foto.png?200| }}
+</WRAP>
+<WRAP column 75%>
+**Speaker**: Anastasiya Pechko,  PhD Candidate @ Jagiellonian University
+**Title**: Adaptive Modular Housing Design for Crisis Situations.
+**Abstract**:
+Today, the world is facing many challenges, and one of the most pressing is the humanitarian crisis caused by the war in Ukraine. A large number of people have been displaced and left without homes. That's why the need for scalable, adaptable housing solutions is highly relevant. This talk presents a new way of using computational tools—specifically, an adapted version of the Wave Function Collapse (WFC) algorithm—to design modular housing estates. The applied heuristics allow the solutions o meet specific project requirements, generating various modular settlement designs that consider functionality and social aspects. The talk will include examples of generated modular arrangements, highlighting the potential of this approach in real-world applications.
+**Biogram**:
+Anastasiya Pechko is a first-year PhD student in Technical Computer Science with a master's degree in computer game science (2023). She is a member of the Neu3D research group led by Dr. Przemysław Spurek and is also involved in the project "Effective Rendering of 3D Objects Using Gaussian Splatting in an Augmented Reality Environment" under the FIRST TEAM FENG programme of the Foundation for Polish Science. Her research focuses on computer-aided design and neural rendering—particularly Gaussian Splatting. In addition, Anastasiya has a deep interest in the synergy between art and algorithms, with a particular fascination for complex, emergent behaviors in digital systems.
+</WRAP>
+<WRAP clear></WRAP>
+==== 2025-05-08 ====
+<WRAP column 15%>
+{{ :aira:gianluca-guglielmo-foto.png?200| }}
+</WRAP>
+<WRAP column 75%>
+**Speaker**: Gianluca Guglielmo,  PhD @ Tilburg University
+**Title**: From Video Games to Real-life ”Games”: The Emergence of Real-life Expertise in (Serious) Video Games.
+**Abstract**:
+Can real-life behaviors carry over into digital environments like serious and video games? Do we make decisions and respond to events in simulated settings the same way we do in the real world? These are the underlying questions that Gianluca Guglielmo will explore in this talk. Gianluca Guglielmo is a researcher who recently obtained his PhD in Cognitive Science and Artificial Intelligence at Tilburg University (Netherlands). In this seminar presentation, Gianluca will present some results of his PhD project, which was conducted in collaboration with Port of Rotterdam. During this project, he focused on using serious games to address some future challenges that the Port of Rotterdam will face in the future. Such challenges include the green transition, in line with the European Green Deal goals, as well as identifying new potential employees. These objectives are based on the idea that serious games, like video games, over safe simulated environments where specific skills can emerge and be developed. Throughout his PhD, Gianluca applied methods drawn from cognitive science, data science, and game studies. He combined non-invasive techniques to track physiological responses with machine learning algorithms to evaluate the effectiveness of a fordable and scalable approaches that can be used both in research with limited resources and in business contexts. The methods proposed may be applied not only to serious and video games but also to other screen-based tasks across different domains. The results presented in this seminar presentation will provide evidence that skills acquired in real life also manifest in serious games and that this transferability overs a solid foundation for using serious games to simulate future developments within companies and to help identify
+the experts of tomorrow."
+**Biogram**:
+Gianluca Guglielmo is an Italian researcher born and raised in Milan. He recently earned his PhD in Cognitive Science and Artificial Intelligence at Tilburg University. His PhD project, conducted in collaboration with the Port of Rotterdam, focused on decision-making, expertise, and the use of serious games. The project aimed to demonstrate how serious games can be powerful tools not only for communicating innovative business concepts to stakeholders but also for identifying and selecting new employees.
+Academically, Gianluca has a diverse and interdisciplinary background. He began with a Bachelor's degree in Philosophy at Università Statale di Milano, where he specialized in
+philosophy of science writing a thesis focused on game theory and evolutionary game theory. His interest in philosophy reflects his strong belief that the way we define a problem
+fundamentally shapes how we investigate it and the research outcomes we obtain. He then pursued a Master's in Cognitive Science and Neuroscience through a joint program at
+Università Statale di Milano and Maastricht University, majoring in psychopharmacology. During this time, he joined a research team at San Paolo Hospital in Milan, working on the
+clinical use of ketamine as a fast-action antidepressant for patients with major depressive disorder. His contributions helped produce the first Italian case series on this treatment, which also formed the basis of his master’s thesis. Before starting his PhD, Gianluca completed a second Master’s in Cognitive Science and
+Artificial Intelligence. During this period, he worked as a student assistant on a project employing video games to study moral decision-making. This research culminated in a
+conference paper titled "The Temperature of Morality: A Behavioral Study on the Efect of Moral Decisions on Facial Thermal Variations in Video Games."
+</WRAP>
+<WRAP clear></WRAP>
+==== 2025-04-24 ====
+<WRAP column 15%>
+{{ :aira:natalia-wojak-strzelecka-foto.jpg?200| }}
+</WRAP>
+<WRAP column 75%>
+**Speaker**: Natalia Wojak-Strzelecka,  PhD Candidate @ Jagiellonian University
+**Title**: Automated GitHub Repository Quality Evaluation: A Metrics-Based Approach.
+**Abstract**:
+In this seminar, we will explore three complementary approaches to handling evolving data in industrial environments. We'll discuss methods for detecting and adapting to domain shifts in data streams, distinguishing between real system failures and normal process changes, and using explainable AI to better understand and interpret concept drift. The presented work combines domain adaptation, drift detection, and XAI to improve the robustness and transparency of machine learning models in real-time settings like manufacturing and healthcare.
+**Biogram**:
+Natalia has received Bachelor's (2020) and Master's (2022) degrees in Mathematics from Silesia Univerity of Technology, Faculty of Applied Mathematics. Her career path is deeply rooted in the industry, she started as a data scientist working on vibration signals for predictive maintenance applications and continuing as a modelling specialist at ArcelorMittal, where she develops and implements models for production optimization and image processing. Currently, as a PhD candidate, she is working on advanced domain adaptation techniques for industrial data stream applications and explainable anomaly detection.
+</WRAP>
+<WRAP clear></WRAP>
 ==== 2025-04-03 ====