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--- aira:start [2025/05/18 00:38] – [2025-05-15] mzk
+++ aira:start [2025/10/16 10:00] (current) – [2025-06-26] mzk
@@ Line 1: / Line 1: @@
 ====== Artificial Intelligence in Research and Applications Seminar (AIRA) ======
-GEIST is happy to announce, the launch of an open, online seminar on Artificial Intelligence in Research and Applications (AIRA).
+AIRA (the Artificial Intelligence Research and Applications) seminar (https://aira.geist.re) is an event organized by the GEIST group (https://www.geist.re) and the HCAI department (https://hcai.fais.uj.edu.pl) in the FAIS Faculty@JU in cooperation with the Mark Kac center (https://markkac.id.uj.edu.pl) and the JAHCAI lab (https://jahcai.id.uj.edu.pl).
-AIRA is a weekly event (with some breaks between semesters and holidays) devoted to recent results in AI research presented by invited guests from many AI-related fields as well as applications of AI methods and tools in areas of science, industry and business.
+AIRA was created in 2021 and has been regularly organized since then as an online/hybrid event.
+During this time we had almost 100 speakers (as of mid 2025) including researchers from many EU countries, PhD students from the Jagiellonian University, Poland, and Europe.
-**Please save your Thursdays between 3:15-4:45 PM Warsaw Time**
+The objective of AIRA is to create an open venue to discuss AI on an interdisciplinary level and from multiple perspectives. We invite AI talks from technical and exact sciences, but also welcome researchers from social sciences and humanities to share their views on AI development and its applications. Finally we are also open on practitioners from industry and business using AI in their companies.
-The program will be published at [[https://aira.geist.re]] in advance
+AIRA also formally exists as a PhD course in the Jagiellonian University in the Technical Computer Science program as one of the foundational seminars ([WFAIS.SDSP-IT001.01] and [WFAIS.SDSP-IT001.02]). The students are invited to presents their research plans, as well as to share the progress of their PhD projects. Furthemore, we welcome PhD students from other programs in the JU who are interested in AI. PhD students can participate actively presenting their work and perspectives; however, participation with no presentation is also possible, e.g. for persons who are not computer scientists.
-(a dedicated MS Teams group for announcements is available for those who are interested).
+**Please save your Thursdays between 3:15-4:45 PM Warsaw Time on MS teams.**
+The program will be published at the https://aira.geist.re webpage in advance (a dedicated MS Teams group for announcements is available for those who are interested).
 Scientific coordination: [[https://gjn.re|Grzegorz J. Nalepa]]
-Scientific secretaries [[https://szymon.bobek.re|Szymon Bobek]], [[https://www.geist.re/pub:about_us:mtm|Maciej Mozolewski]], [[https://www.geist.re/pub:about_us:mzk|Maciej Szelążek]]
+Scientific secretaries [[https://www.geist.re/pub:about_us:mzk|Maciej Szelążek]], [[https://www.geist.re/pub:about_us:mtm|Maciej Mozolewski]], [[https://szymon.bobek.re|Szymon Bobek]]
+Contact for enrollment of the JU PhD students [[https://fais.uj.edu.pl/wydzial/dziekanat|Mrs Ewa Lelek @ WFAIS]]
+===== Schedule Autumn 2025 =====
+  * **[PHD TRACK] 2025.10.16**: Karol Dobiczek,  PhD Candidate @ Jagiellonian University, [[#section20251016|Applying Counterfactual Explanations in Evolving Scenarios and Expert Domains.]]
+    * Meeting link:[[https://teams.microsoft.com/meet/3634985739900?p=D3AqLZM4yWIU1nXOWh|MS Teams]]
+    * Recording:  TDA
+    * Presentation slides:  TDA
+  * **2025.10.09**: Grzegorz J. Nalepa, AIRAmaster @ Jagiellonian University, //Introduction to AIRA to the new PhD students//
 ===== Schedule Spring 2025 =====
+  * **[RESEARCH TRACK] 2025.06.26**: Artur Miroszewski,  PhD @ Jagiellonian University, [[#section20250626|Exploring Quantum Machine Learning through Earth Observation Case Studies.]]
+    * Meeting link:[[https://teams.microsoft.com/l/meetup-join/19%3aJF1L0935A7eV6s8R9brG5MMYONrqy4XmxPSYLeRMCGM1%40thread.tacv2/1750076384548?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/Eb-PxGrj_L9Hka7sdu3TMY4BI2qKDq_5Bvl5hfUPyUwnNA?e=IFBlWx|View]]
+    * Presentation slides:  {{:aira:slides-artur-miroszewski-2025-06-26.pdf|Download}}
+  * **[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:  TDA
+    * Recording:  [[https://ujchmura.sharepoint.com/:v:/t/Section_495645_1/EYgrsIJ986RNpBAtv_11xLcBcDlCsAbrXYbUbMoTEMuSww?e=3g2tJQ|View]]
-    * Presentation slides:  TDA
+    * 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:  TDA
+    * Recording:  [[https://ujchmura.sharepoint.com/:v:/t/Section_495645_1/EbyiCvceYJdEnCVPvfgVlNsBVB5BDIsbHRpDRgc8_19rMA?e=wktReu|View]]
-    * Presentation slides:  TDA
+    * 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.]]
@@ Line 423: / Line 454: @@
 ===== Presentation details =====
+==== 2025-10-16 ====
+<WRAP column 15%>
+{{ :aira:karol-dobiczek-foto.jpg?200| }}
+</WRAP>
+<WRAP column 75%>
+**Speaker**: Karol Dobiczek,  PhD Candidate @ Jagiellonian University
+**Title**: Applying Counterfactual Explanations in Evolving Scenarios and Expert Domains.
+**Abstract**:
+Counterfactual explanations (CE) are one of the building blocks of many explainable machine learning methods, however their application and effects when applied to realistic scenarios are often missing. This seminar presents two works on counterfactual explanations that address some of these scenarios. First work explores the effects of applying CEs in an evolving domain and model, the second investigates whether existing methods for natural language CEs can handle being applied to expert domains. Other current and future directions in applying CEs and other XAI methods will be discussed.
+**Biogram**:
+Karol Dobiczek is a PhD candidate in the team led by professor Grzegorz J. Nalepa at the Jagiellonian University in Kraków. He received his Master's degree from the Delft University of Technology in 2024 and his Bachelor's thesis from the same university in 2022. His work focuses on explainable and interpretable machine learning, mostly on the use of counterfactual explanations. Karol is currently a Software Engineer at Qualtrics and a Research Software Engineer at the MI2 team at the Warsaw University of Technology.
+</WRAP>
+<WRAP clear></WRAP>
+==== 2025-06-26 ====
+<WRAP column 15%>
+{{ :aira:artur-miroszewski-foto.jpeg?200| }}
+</WRAP>
+<WRAP column 75%>
+**Speaker**: Artur Miroszewski,  PhD @ Jagiellonian University
+**Title**: Exploring Quantum Machine Learning through Earth Observation Case Studies.
+**Abstract**:
+The analysis of satellite images has attracted significant research interest due to its numerous applications and unparalleled scalability in Earth Observation (EO). Although artificial intelligence algorithms for EO emerge at a steady pace, the community still needs to address many practical challenges that are concerned with such highly dimensional and unprecedentedly large volumes of image data. Quantum Machine Learning (QML) is a promising research avenue here. Despite the growing interest and funding in the field, current results remain inconclusive, shifting focus toward understanding the strengths and limitations of QML rather than solely expanding applications of such methods. This seminar addresses a critical gap by consolidating advancements in QML, with a special focus put on quantum kernel methods - which already proved their value in EO - to evaluate their role in advancing state-of-the-art EO solutions and exploring the potential quantum advantage via identifying their benefits and shortcomings in an unbiased and thorough way.
+**Biogram**:
+Artur Miroszewski received the Ph.D. degree in theoretical physics from the National Centre for Nuclear Research, Otwock, Poland, in 2021. He is a Postdoctoral Researcher with the Jagiellonian University, Kraków, Poland.
+He is involved in European Space Agency projects exploring the potential of quantum machine learning for satellite data analysis and serves as a quantum computing lecturer at the IEEE GRSS HDCRS summer schools. He is a co-chair of the QUEST IEEE GRSS Technical Committee.
+His main research interest include the study and applications of quantum kernel methods.
+</WRAP>
+<WRAP clear></WRAP>
+==== 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 ====