Proceedings of the 20th Conference on Computer Science and Intelligence Systems (FedCSIS)

Dear it is our pleasure to present to you the Proceedings of the 20th Conference on Computer Science and Intelligence Systems (FedCSIS 2025), which took place on September 14-17, 2025, in Kraków, Poland.

FedCSIS 2025 was chaired by Jarosław Wąs. Moreover, Tomasz Hachaj was the Chair, while Marian Bubak, Marek Grzegorowski and Łukasz Rauch, were the Co-Chairs of the Organizing Committee.

This year, FedCSIS was organized by the Polish Information Processing Society (Mazovia Chapter), IEEE Poland Section Computer Society Chapter, Systems Research Institute of Polish Academy of Sciences, The Faculty of Mathematics and Information Science Warsaw University of Technology, The Faculty of Electrical and Computer Engineering of the Rzeszów University of Technology and The Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering AGH in cooperation with The Faculty of Metals Engineering and Industrial Computer Science AGH, The Faculty of Materials Science and Ceramics AGH, and Centre for Computational Personalised Medicine SANO.

FedCSIS 2025 was technically co-sponsored by IEEE Poland Section, IEEE Poland Section Computer Society (Gdańsk) Chapter, IEEE Czechoslovakia Section Computer Society Chapter, IEEE Poland Section Systems, Man, and Cybernetics Society Chapter, IEEE Serbia and Montenegro Section Computational Intelligence Society Chapter, IEEE Serbia and Montenegro Section Young Professionals Affinity Group, Committee of Computer Science of the Polish Academy of Sciences and Mazovia Cluster ICT.

FedCSIS 2025 was organized in collaboration with the Strategic Partner QED Software, and sponsored by Intel+Lenovo, Jupiter as well as MDPI Electronics, MDPI Applied Sciences and MDPI AI journals. Moreover, FedCSIS 2025 has been conducted under Honorary Patronages of Professor Jerzy Lis, Rector of the AGH University of Kraków and of Aleksander Miszalski, Mayor of Krakow, as well as under patronages of the Ministry of Digital Affairs of the Republic of Poland, Polish Artificial Intelligence Society (PSSI), Forum Akademickie and Naukowe Towarzystwo Informatyki Ekonomicznej. Finally, media patronage was provided by Krakow.pl, TVP Info, TVP3 Kraków, and Kraków Convetion Bureau.

This year, the structure of the conference remained the same as last year. FedCSIS 2025 had a single Main Track with 5 Topical Areas, which was supported by 12 Thematic Sessions and a Competition. Such structure emphasizes the integrity of the conference and its closeness to the issues that are crucial for the world around us. Here, we recognize the fact that today (in 2025) it is difficult to envision research (and its applications) without an intelligence component. Reflecting this, all five Topical Areas, which constitute the Main Track, represent various aspects of Intelligence Systems. Moreover, the Thematic Sessions provide further insights into selected areas of Intelligence Systems, approached from different perspectives.

In this context, Proceedings that we present to you, consist of six parts. Part 1 contains Invited Contributions. Part 2 collects Main Track full papers (arranged alphabetically, according to the last name of the first author, with the Topical Area represented in the metadata). Part 3 contains Main Track short papers (again, arranged alphabetically, with the Topical Area represented in the metadata). Part 4 contains full papers, originating from the Thematic Sessions (again, arranged alphabetically, according to the last name of the first author, with the name of the Thematic Session stated in the metadata). Part 5 collects short papers from all Thematic Sessions. Finally, Part 6 is devoted to contributions originating from the Competition.

Keeping this in mind, let us now introduce Keynote Speakers, the remaining Invited Contributions, and the five Topical Areas of the FedCSIS 2025 Main Track.

Invited Contributions

FedCSIS 2025 invited four keynote speakers to deliver lectures providing a broader context for the conference participants.

• Damaševičius, Robertas, Kaunas University of Technology, Lithuania: “AI-Driven Innovations in Brain Cancer Research”
• Dustdar, Schahram, TU Wien, Austria: “Active Inference for Distributed Intelligence in the Computing Continuum”
• Jonker, Catholijn, TU Delft (main affiliation), Leiden University, Vrije Universiteit Amsterdam, Netherlands: “Hybrid Human-AI Intelligence to Strengthen the Reflective and Learning Capacity of Organisations”
• Plank, Barbara, LMU Munich, Germany: “Human-centered LLMs for Inclusive Language Technology”

Moreover, four past FedCSIS keynote speakers have been invited to prepare special contributions, which refer to the core focus of the conference series. These were:

• Atiquzzaman, Mohammed, University of Oklahoma, USA:“Q-ID: A Reinforcement Learning Framework for Adaptive Intrusion Detection”
• Blum, Christian, Artificial Intelligence Research Institute, Spain:“Optimizing the Optimizer: An Example Showing the Power of LLM Code Generation”
• Luković, Ivan, University of Belgrade, Serbia:“New Education Challenges in Profiling Digital Experts for a Digital Economy Era”
• Skowron, Andrzej, Systems Research Institute Polish Academy of Sciences, Poland:“Interactive Granular Computing: Toward Computing Model for Complex Intelligent Systems ”

At the time, when you are reading this text, videos of the keynote presentations and of invited contributions, delivered during the FedCSIS 2025 conference, are already available on the official conference website (www.fedcsis.org). We warmly encourage you to visit the website and watch these recordings to gain additional insights and perspectives shared by distinguished speakers.

Finally, as a part of official Conference Opening, a special presentation, entitled: Paths to Zero Emission Computing—Reducing Energy Consumption, and carbon emissions in HPC and AI environments, was delivered by Tikiri Wanduragala, Technology Leader Lenovo Infrastructure Solutions Group (ISG), Lenovo UK and Ireland. An extended abstract, outlining main pints of this presentation can be found in the Position papers of FedCSIS 2025 volume, published in the Annals of Computer Science and Information Systems book series.

Advanced Artificial Intelligence in Applications

This Topical Area covers a wide range of core aspects of intelligence systems, with a particular focus on AI. Nowadays, AI is usually perceived as closely related to the data, therefore, the scope of this Topical Area includes, among others, elements of machine learning, data science, and big data processing, with important emerging aspects such as interactive learning and human-centered AI, as well as interpretable learning, explainable AI, and trustworthiness. Furthermore, since the realm of AI is far richer, the ultimate goal of this Topical Area is to show relationships between all of the currently pursued AI subareas, emphasizing a cross-disciplinary nature of various research branches. From the perspective of the general scope of FedCSIS, this Topical Area embraces AI methods and examples of their applications in different practical fields.

This Topical Area was curated by:

• Artiemjew, Piotr, University of Warmia and Mazury, Poland
• Chelly Dagdia, Zaineb, University of Lille, France
• Corizzo, Roberto, American University, USA
• Zdravevski, Eftim, Ss. Cyril and Methodius University, Northern Macedonia

Computer Science & Systems

This Topical Area covers technical (or applicable) aspects of computer science and related disciplines. The Topical Area spans themes ranging from hardware issues close to the discipline of computer engineering via software issues tackled by the theory and applications of computer science, and to issues of interest to distributed, smart, data-oriented, multimedia and network systems.

The Topical Area is oriented on the research where the computer science meets the real world problems, real constraints, simulations and processing, model objectives, etc., in order to deliver Intelligence Systems. However the scope is not limited to applications, we all know that all of them were born from the innovative theory developed in the laboratory. We want to show the fusion of these two worlds. Therefore one of the goals for the Topical Area is to show how the idea is transformed into application, since the history of modern science shows the most successful research experiments had their continuation in the real world.

This Topical Area was curated by:

• Ferrando, Angelo, University of Modena and Reggio Emilia, Italy
• Pawłowski, Wiesław, University of Gdańsk and Systems Research Institute, Polish Academy of Sciences, Poland
• Wasielewska-Michniewska, Katarzyna, Systems Research Institute, Polish Academy of Sciences, Poland

Network Systems & Applications

Modern network systems encompass a wide range of solutions and technologies, including wireless and wired networks, network systems, services, and applications. This results in numerous active research areas oriented towards various technical, scientific, and social aspects of network systems and applications. The rapid development of computer networks including wired and wireless networks observed today is evolving, dynamic, and multidimensional. On the one hand, network technologies are used in the majority of areas that make human life easier and more comfortable. On the other hand, the rapid need for network deployment brings new challenges in network management and network design, which are reflected in hardware, software, services, and security-related problems. Every day, a new solution in the field of technology and applications of computer networks is released. New network vulnerabilities, threats and attacks are also emerging. This Topical Area is devoted to emphasizing up-to-date topics in networking systems and technologies by covering problems and challenges related to intensive multidimensional network developments. Yet, it is inclusive and spans a wide spectrum of networking-related topics.

This Topical Area was curated by:

• Armando, Alessandro, University of Genova, Italy
• Furtak, Janusz, Military University of Technology, Poland
• Suri, Niranjan, Institute of Human and Machine Cognition, United States

Information Technology for Business & Society

This Topical Area emphasizes Intelligence Systems as a central theme while embracing a comprehensive perspective on the role of various technologies, Management Information Systems (MIS), and Decision Support Systems (DSS) in addressing contemporary challenges faced by businesses, organizations, and society. It seeks to provide a platform for exploring how advanced technologies--such as big data, data mining, machine learning, IoT, blockchain, cloud computing, and social networks--interact with and contribute to the continuous improvement of processes, decision-making, and innovation in diverse domains, including business, government, and social sectors.

The aim is to comprehensively understand how Intelligence Systems and related technologies can be effectively leveraged within MIS and DSS to drive innovation, support strategic goals, and create value across various sectors and domains. This focus goes beyond the technical dimensions, integrating socio-technical and management perspectives to explore how these systems can be designed, implemented, and managed to meet real-world needs. This includes addressing challenges in organizational processes, decision-making frameworks, and strategies for achieving sustainable and continuous improvement.

This Topical Area was curated by:

• Cano, Alberto, Virginia Tech University, USA
• Dias, Gonçalo, University of Aveiro, Portugal
• Miller, Gloria, maxmetrics, Germany
• Naldi, Maurizio, LUMSA University, Italy
• Wątróbski, Jarosław, University of Szczecin, Poland
• Ziemba, Ewa Wanda, University of Economics in Katowice, Poland

Software, System & Service Engineering

The Topical Area emphasizes the issues relevant to developing and maintaining software systems that behave reliably, efficiently and effectively. It investigates both established traditional approaches and modern emerging approaches to large software production and evolution.

For decades, it is still an open question in software industry, how to provide fast and effective software process and (intelligent) software services, and how to come to the software systems, embedded systems, autonomous systems, intelligence systems, or cyber-physical systems that will address the open issue of supporting information management process in many, particularly complex organization systems. Even more, it is a hot issue how to provide a synergy between systems in common and software services as mandatory component of each modern organization, particularly in terms of IoT, Big Data, Data Science, Artificial Intelligence, Machine Learning, and Industry 4.0 paradigms.

In recent years, we are the witnesses of great movements in the area of software, system and service engineering (S3E). Such movements are both of technological and methodological nature. By this, today we have a huge selection of various technologies, tools, and methods as a discipline that helps in a support of the whole information life cycle in organization systems. Despite that, one of the hot issues in practice is still how to effectively develop and maintain complex systems from various aspects, particularly when software components are crucial for addressing declared system goals, and their successful operation. It seems that nowadays we have great theoretical potentials for application of new and more effective approaches. However, it is more likely that real deployment of such approaches in industry practice is far behind their theoretical potentials.

This Topical Area was curated by:

• Luković, Ivan, University of Belgrade, Serbia
• Kolukısa Tarhan, Ayça, Hacettepe University, Turkey
• Popović, Aleksandar, University of Montenegro, Podgorica, Montenegro

FedCSIS 2025 Competition—Predicting Chess Puzzle Difficulty, Second Edition

FedCSIS 2025 Challenge was entitled: Predicting Chess Puzzle Difficulty—Second Edition. It was the 11th data science challenge, organized within the scope of FedCSIS conference series. The goal was to build a model to predict the difficulty (measured as Lichess rating) of given chess puzzles. The 2025 competition was organized by:

• Ślęzak, Dominik, QED Software and University of Warsaw, Poland
• Ślęzak, Michał, Polish-Japanese Academy of Information Technology, Poland
• Świechowski, Maciej, Grail Team, Poland
• Zyśko, Jan, University of Warsaw, Poland

This year, 42 teams participated in the competition. They, collectively, submitted 1185 solutions. Team members represented 16 different countries from around the world, with largest number of representatives coming from Poland, Germany, United States and Singapore. After evaluation, the following contributions, found also in these proceedings, discuss the winning solutions:

• First place: Sebastian Björkqvist, Estimating the Difficulty of Chess Puzzles by Combining Fine-Tuned Maia-2 with Hand-Crafted and Engine Features
• Second place: Tyler Woodruff, Luke Imbing, Marco Cognetta, The bread emoji Team’s Submission to the 2025 FedCSIS Predicting Chess Puzzle Difficulty Challenge
• Third place: Szymon Miłosz, Pretraining Transformers for Chess Puzzle Difficulty Prediction

Professor Zdzisław Pawlak Award

The above-described five Topical Areas of the FedCSIS Main Track reflect the five fundamental aspects of understanding, developing, and applying Intelligence Systems. This topical integrity is emphasized by the Professor Zdzisław Pawlak Award, presented in four categories: Best Paper, Young Researcher, Industry Cooperation, and International Cooperation. Here, note that although Professor Zdzisław Pawlak has been often recognized as ``the father of Polish AI'', his research achievements have gone far beyond AI itself, in particular toward AI applications and Intelligence Systems as we understand them. Accordingly, for this award contributions from the Main Track and from all Thematic Sessions are considered. This year, the following contributions have been awarded:

• In the category Best Paper: Preiß, Niklas and Westner, Markus: From Agents to Copilots: A Systematic Review of Digital Assistant Technology Adoption in Proprietary Productivity Software
• In the category Young Researcher: Lorenz, Alisa: A New Dimension of Acceptance? Introducing Perceived Public Value as Extension of UTAUT in the Smart City Context
• In the category Industry Cooperation: Sadel, Jakub, Tarasiewicz, Tomasz, Kowaleczko, Paweł, Ziaja, Maciej, Kostrzewa, Daniel, Benecki, Paweł and Kawulok, Michał: Keypoint-based metric for evaluating image super-resolution quality
• In the category International Cooperation: De Maeyer, Wannes, Van Overberghe, Steven, Cornelis, Chris and Restrepo Lopez, Mauricio: Estimating the entropy of covering-based rough set approximation operators

Young Researcher Award was sponsored by the MDPI Applied Sciences Journal, International Cooperation Award was sponsored by the MDPI AI Journal, Industry Cooperation Award was sponsored by the MDPI Electronics Journal, while the Best Paper Award was sponsored by the Mazovia Branch of Polish Information Processing Society.

Here, let us also note that Professor Zdzisław Pawlak Awards have been presented to authors of best papers since 2006.

Statistics

Each contribution, found in this volume, was refereed by at least two referees and the acceptance rate of regular full papers was approximately 18.66\% (47 accepted contributions, out of a total of 209 submissions representing 48 countries and 6 continents). Since we live in times when ``data is the new oil'', the long-term trend of acceptance of regular full papers is depicted in Figure 1. Note that this year the lowest, thus far, acceptance rate for regular full papers has been recorded.

Committees

The Senior Program Committee of FedCSIS 2025 consisted of:

• Arciuch, Artur, Military University of Technology, Poland
• Armando, Alessandro, University of Genova, Italy
• Artiemjew, Piotr, University of Warmia and Mazury in Olsztyn, Poland
• Bicevska, Zane, University of Latvia, Latvia
• Bumberger, Jan, Helmholtz‐Centre for Environmental Research – UFZ, Germany
• Bylina, Beata, Maria Curie-Sklodowska University, Poland
• Bylina, Jarosław, Marie Curie-Sklodowska University, Poland
• Cano, Alberto, Virginia Commonwealth University, United States
• Charvat, Karel, Czech Center for Science and Society, Czech Republic
• Chelly Dagdia, Zaineb, University of Lille, France
• Chmielarz, Witold, University of Warsaw, Poland
• Cooper, Anthony-Paul, Durham University, United Kingdom
• Corizzo, Roberto, American University, United States
• Coronato, Antonio, Università Giustino Fortunato, Italy
• Cyganek, Bogusław, AGH University of Krakow, Poland
• Dan, Daniel, MODUL University, Austria
• Debar, Hervé, Télécom SudParis, Institut Mines-Télécom, France
• Dias, Gonçalo, University of Aveiro, Portugal
• Dörpinghaus, Jens, Federal Institute for Vocational Education and Training (BIBB), Germany
• Felkner, Anna, NASK—National Research Institute, Poland
• Fernandes De Muylder, Cristiana, Universidade FUMEC, Brazil
• Ferrando, Angelo, University of Modena and Reggio Emilia, Italy
• Fidanova, Stefka, Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, Bulgaria
• Fornés Leal, Alejandro, Universitat Politècnica de València, Spain
• Franczyk, Bogdan, University of Leipzig, Germany
• Frank, Urlich, Universität Duisburg-Essen, Germany
• Furtak, Janusz, Military University of Technology, Poland
• Häckl, Dennis, University of Leipzig, Germany
• Helmrich, Robert, Federal Institute for Vocational Education and Training (BIBB), Germany
• Ioannidis, Sotirios, Technical University of Crete, Greece
• Iwanowski, Marcin, Warsaw University of Technology, Poland
• Janousek, Jan, Czech Technical University, Czech Republic
• Kadobayashi, Youki, Nara Institute of Science and Technology, Japan
• Kobyliński, Łukasz, Institute of Computer Science, Polish Academy of Sciences, Poland
• Kolukısa Tarhan, Ayça, Hacettepe University, Turkey
• Kubis, Marek, Adam Mickiewicz University, Poland
• Kwaśnicka, Halina, Wroclaw University of Technology, Poland
• Lacalle Úbeda, Ignacio, Universitat Politècnica de València, Spain
• Leyh, Christian, Technische Hochschule Mittelhessen (THM) – University of Applied Sciences, Germany
• Lirkov, Ivan, Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, Bulgaria
• Luković, Ivan, University of Belgrade, Serbia
• Martinelli, Massimo, Institute of Information Science and Technologies, National Research Council of Italy, Italy
• Milašinović, Boris, University of Zagreb, Croatia
• Militzer-Horstmann, Carsta, WIG2 Institute for Health Economics and Health Service Research, Germany
• Miller, Gloria, maxmetrics, Germany
• Moroni, Davide, Institute of Information Science and Technologies, National Research Council of Italy, Italy
• Mucherino, Antonio, IRISA, University of Rennes, France
• Naeem, Muddasar, Università Giustino Fortunato, Italy
• Nakayama, Minoru, Institute of Science Tokyo, Japan
• Naldi, Maurizio, LUMSA University, Italy
• Pałys, Tomasz, Military University of Technology, Poland
• Paszkiewicz, Andrzej, Rzeszow University of Technology, Poland
• Pawłowski, Wiesław, University of Gdańsk and Systems Research Institute Polish Academy of Sciences, Poland
• Popović, Aleksandar, University of Montenegro, Montenegro
• Procházka, Ales, University of Chemistry and Technology, Czech Republic
• Rangel Henriques, Pedro, University of Minho, Portugal
• Reinhold, Olaf, Social CRM Research Center, Germany
• Rishiwal, Vinay, Mahatma Jyotiba Phule Rohilkhand University, India
• Ristić, Sonja, University of Novi Sad, Serbia
• Rizvi, Syed Tahir Hussain, Wenn AsA, Sandnes, Norway
• Slivnik, Boštjan, University of Ljubljana, Slovenia
• Śluzek, Andrzej, Warsaw University of Life Sciences—SGGW, Poland
• Sołtysik-Piorunkiewicz, Anna, University of Economics in Katowice, Poland
• Speckesser, Stefan, University of Brighton, United Kingdom
• Stanescu, Liana, University of Craiova, Romania
• Stpiczyński, Przemysław, Maria Curie-Sklodowska University, Poland
• Suri, Niranjan, Institute of Human and Machine Cognition, United States
• Świątkowska, Joanna, Deputy Secretary General at European Cyber Security Organisation, Belgium
• Tiemann, Michael, Federal Institute for Vocational Education and Training (BIBB), Germany
• Tolvanen, Juha-Pekka, MetaCase, Finland
• Varanda Pereira, Maria Joao, Instituto Politecnico de Braganca, Portugal
• Wasielewska-Michniewska, Katarzyna, Systems Research Institute, Polish Academy of Sciences, Poland
• Wątróbski, Jarosław, West Pomeranian University of Technology, Poland
• Wróblewska, Anna, University of Technology, Poland
• Zaharie, Daniela, West University of Timisoara, Romania
• Zdravevski, Eftim, Ss. Cyril and Methodius University, North Macedonia
• Ziemba, Ewa, University of Economics in Katowice, Poland

The Program Committee of FedCSIS 2025 consisted of:

• Abromavičius, Vytautas, Vilnius Gediminas Technical University, Lithuania
• Adil, Muhammad, Institute of Marine Sciences CNR, Italy
• Ahmad, Muhammad Ovais, Karlstad University, Sweden
• Amodio, Pierluigi, Universita' di Bari, Italy
• Anastassi, Zacharias, ASPETE School of Pedagogical and Technological Education, Greece
• Arabas, Piotr, NASK—National Research Institute, Poland
• Asselborn, Thomas, University of Hamburg, Germany
• Awuni Kolog, Emmanuel, University of Ghana, Ghana
• Azad, Mohammad, Jouf University, Saudi Arabia
• Azevedo, Ana, CEOS.PP, ISCAP, P.PORTO, Portugal
• Bacco, Manlio, ISTI-CNR, Italy
• Badica, Costin, University of Craiova, Romania
• Badica, Amelia, University of Craiova, Romania
• Badr, Georges, Holy Spirit University of Kaslik, Lebanon
• Baldán Lozano, Francisco Javier, University of Málaga, Spain
• Banach, Richard, University of Manchester, United Kingdom
• Barišić, Ankica, ActiveEon, France
• Belciug, Smaranda, University of Craiova, Romania
• Ben-Assuli, Ofir, Ono Academic College, Israel
• Beuran, Razvan, Japan Advanced Institute of Science and Technology, Japan
• Białas, Andrzej, Research Network Łukasiewicz—Institute of Innovative Technologies EMAG, Poland
• Bicevskis, Janis, University of Latvia, Latvia
• Bieniek, Mariusz, University of Maria Curie Skłodowska, Poland
• Bjeladinović, Srđa, University of Belgrade, Serbia
• Boehm, Karsten, FH KufsteinTirol—University of Applies Science, Austria
• Borkowski, Boleslaw, Warsaw University of Life Sciences, Poland
• Bountakas, Panagiotis, Sphynx Technology Solutions AG, University of Piraeus, Switzerland
• Brdjanin, Drazen, University of Banja Luka, Bosnia and Herzegovina
• Brezovan, Marius, University of Craiova, Romania
• Bridova, Ivana, University of Zilina, Slovakia
• Brzoza-Zajęcka, Ada, AGH University of Krakow, Poland
• Cabri, Giacomo, Università di Modena e Reggio Emilia, Italy
• Calpe Maravilla, Javier, University of Valencia, Spain
• Carbone, Roberto, Security & Trust Unit, FBK, Italy
• Carchiolo, Vincenza, Universita di Catania, Italy
• Casalino, Gabriella, University of Bari Aldo Moro, Italy
• Chen, Haiming, Chinese Academy of Sciences, China
• Chiru, Costin, University Politehnica of Bucharest, Romania
• Christozov, Dimitar, American University in Bulgaria, Bulgaria
• Cicconetti, Claudio, IIT-CNR, Italy
• Ciucci, Davide, Università di Milano-Bicocca, Italy
• Colantonio, Sara, ISTI-CNR, Italy
• Corizzo, Roberto, American University, United States
• Cosulschi, Mirel, University of Craiova, Romania
• Coviello, Giuseppe, Politecnico Di Bari, Italy
• Cybulski, Piotr, Military University of Technology in Warsaw, Poland
• Czachorski, Tadeusz, IITiS PAN, Polish Academy of Sciences, Poland
• Czarnacka-Chrobot, Beata, Warsaw School of Economics, Poland
• Czarnul, Pawel, Gdansk University of Technology, Poland
• Damasevicius, Robertas, Vytautas Magnus University, Poland
• de Lara, Juan, Universidad Autonoma de Madrid, Spain
• Defigueiredo, Felipeaugustopereira, Ghent Univerity, Belgium
• Derezinska, Anna, Warsaw University of Technology, Poland
• Dery, Lihi, Ariel University, Israel
• Dimitrieski, Vladimir, Faculty Of Technical Sciences, Serbia
• Dionysiou, Antreas, University of Cyprus, Cyprus
• Dudycz, Helena, Wroclaw University of Economics, Poland
• Dutta, Arpita, National University of Singapore, Singapore
• Eisenbardt, Monika, Univeristy of Economics Katowice, Poland
• Eisenbardt, Tomasz, University of Warsaw, Poland
• Engelbrecht, Andries, University of Stellenbosch, South Africa
• Erata, Ferhat, Yale University, United States
• Faber, Łukasz, AGH University of Krakow, Poland
• Fajsi, Angela, University of Novi Sad, Serbia
• Faonio, Antonio, Eurecom, France
• Fertalj, Krešimir, University of Zagreb, Croatia
• Fialko, Sergiy, Cracow University of Technology, Poland
• Fischer, Andreas, f-bb, Germany
• Frommholtz, Ingo, MODUL University, Austria
• Frommholz, Ingo, MODUL University, Austria
• Fuentes, Alvaro, Jeonbuk National University, South Korea
• Furnell, Steven, University of Nottingham, United Kingdom
• G.-Tóth, Boglárka, University of Szeged, Hungary
• García-Mireles, Gabriel, Universidad de Sonora, Mexico
• García, Laura, Universidad Politécnica de Cartagena, Spain
• Garitano, Iñaki, Mondragon Unibertsitatea, Spain
• Gawkowski, Piotr, Warsaw University of Technology, Poland
• Gburzyński, Paweł, Vistula University, Poland
• Gepner, Paweł, Warsaw University of Technology, Poland
• Gerhards, Christian, Federal Institute for Vocational Education and Training (BIBB), Germany
• Geri, Nitza, The Open University of Israel, Israel
• Gezici Geçer, Bahar, Hacettepe University, Turkey
• Gheisari, Mehdi, Islamic Azad University, Iran
• Gimenez, Pierre-François, Inria, France
• Gołuchowski, Jerzy, Katowice University of Economics
• Gomolińska, Anna, University of Białystok, Poland
• Góźdź, Marek, Maria Curie-Skłodowska University, Poland
• Grabara, Dariusz, University of Economics in Katowice, Poland
• Gravvanis, George, Democritus University of Thrace, Greece
• Grochla, Krzysztof, Institute of Theoretical and Applied Informatics, Polish Academy of Sciences, Poland
• Gurgen, Tugba, Hacettepe University, Turkey
• Halawi, Leila, Embry Riddle Aeronautical Univ, United States
• Hamel, Oussama, University Blida, Algeria
• Hammi, Badis, Telecom-Sud Paris, France
• Hanslo, Ridewaan, University of Johannesburg, South Africa
• Hapka, Aneta, Koszalin Univeristy of Technology, Poland
• Harezlak, Katarzyna, Silesian University of Technology, Poland
• Hasso, Hussein, Fraunhofer FKIE, Germany
• Heidler, Tobias, WIG2 Institute for Health Economics and Health System Research, Germany
• Hein, Kristine, Federal Institute for Vocational Education and Training (BIBB), Germany
• Helsingius, Mika, Finnish Defence Research Agency, Finland
• Hernes, Marcin, Wrocław University of Economics and Business, Poland
• Hodoň, Michal, University of Zilina, Slovakia
• Homa, Jarosław, Silesian University of Technology, Poland
• Horváth, Zoltán, Eotvos Lorand University, Hungary
• Hosobe, Hiroshi, Hosei University, Japan
• Houben, Timo, Helmholtz Centre for Environmental Research—UFZ, Germany
• Hrach, Christian, Institute for Applied Informatics (InfAI), Germany
• Hussain, Asad, Reading University, United Kingdom
• Ienco, Dino, IRSTEA, France
• Ilia, Panagiotis, Cyprus University of Technology, Cyprus
• Ionescu, Mihaela, University of Medicine and Pharmacy of Craiova, Romania
• Ivanovic, Mirjana, University of Novi Sad, Serbia
• Jakovljević, Nikša, University of Novi Sad, Serbia
• Janicki, Ryszard, McMaster University, Canada
• Janicki, Artur, Warsaw University of Technology, Poland
• Janiszewski, Marek, NASK—National Research Institute, Poland
• Janousek, Jan, Czech Technical University, Czech Republic
• Jarzebowicz, Aleksander, Gdansk University of Technology, Poland
• Jaskóła, Przemysław, NASK—National Research Institute, Poland
• Jassem, Krzysztof, Adam Mickiewicz University, Poland
• Jelonek, Dorota, Czestochowa University of Technology, Poland
• Johnsen, Frank, Norwegian Defence Research Establishment (FFI), Norway
• Jovancevic, Igor, University of Montenegro, Montenegro
• Jovanovik, Milos, Ss. Cyril and Methodius University in Skopje, North Macedonia
• Kalibatiene, Diana, VGTU, Lithuania
• Kaloyanova, Kalinka, University of Sofia, Bulgaria
• Kamola, Mariusz, NASK—National Research Institute, Poland
• Kanciak, Krzysztof, Military University of Technology, Poland
• Kapczyński, Adrian, Polish Information Processing Society, Poland
• Kardas, Geylani, Ege University International Computer Institute, Turkey
• Karpinska, Marzena, University of Massachusetts Amherst, United States
• Kasprzak, Włodzimierz, Warsaw University of Technology, Poland
• Keir, Paul, University of the West of Scotland, United Kingdom
• Kelner, Jan, Military University of Technology, Poland
• Kenett, Yoed, Israel Institute of Technology, Israel
• Khan, Adil, Xi’an Eurasia University, China
• Khlif, Wiem, FSEGS, Tunisia
• Kibilda, Jacek, Virginia Tech, United States
• Klapp, Iftach, Agriculture research Organization—Volcani Institute, Israel
• Kobylinski, Andrzej, Warsaw School of Economics, Poland
• Kołodziej, Joanna, Krakow University of Technology, Poland
• Kononova, Anna V., LIACS, Leiden University, Netherlands
• Kordić, Slavica, Faculty of Technical Sciences, Serbia
• Kosmopoulos, Dimitrios, University of Patras, Greece
• Kossowska-Lai, Magdalena, Jagiellonin University, Poland
• Kosta, Sokol, Aalborg University, Denmark
• Kozak, Jan, University of Economics in Katowice, Poland
• Krajsic, Philippe, University of Leipzig, Germany
• Krdzavac, Nenad, Leibniz Information Centre for Science and Technology (TIB), Germany
• Kucaba-Pietal, Anna, Rzeszów University of Technology, Poland
• Kucharska, Edyta, AGH University of Krakow, Poland
• Kurasova, Olga, Institute of Mathematics and Informatics, Lithuania
• Kurzyna, Marcin, UMCS, Poland
• Kwasnicka, Halina, Wroclaw University of Technology, Poland
• Kwater, Tadeusz, PANS Jaroslaw, Poland
• L'Ecuyer, Pierre, University of Montreal, Canada
• La Cascia, Marco, University of Palermo, Italy
• Laborde, Romain, Université de Toulouse, France
• Lasek, Piotr, University of Rzeszów, Poland
• Laskov, Lasko, New Bulgarian University, Bulgaria
• Lastovetsky, Alexey, University College Dublin, Ireland
• Leka, Blerta, Agricultural University of Tirana, Albania
• Lerga, Jonatan, Faculty of Engineering & Center for Artificial Intelligence and Cybersecurity, University of Rijeka, Croatia
• Levillain, Olivier, Samovar, Télécom SudParis, Institut Polytechnique de Paris, France
• Lewandowski, Piotr, NASK—National Research Institute, Poland
• Ligeza, Antoni, AGH University of Krakow, Poland
• Li, Tianrui, Southwest Jiaotong University, China
• Li, Shujun, University of Kent, United Kingdom
• Ljubić, Sandi, University of Rijeka, Croatia
• Lloret, Jaime, Universitat Politècnica de València, Spain
• Ltaief, Hatem, King Abdullah University of Science and Technology, Saudi Arabia
• Lucas-Estañ, M. Carmen, University Miguel Hernandez of Elche, Spain
• Luszczek, Piotr, University of Tennessee Knoxville, United States
• Machado, José, University of Minho, DI, ALGORITMI/LASI, Portugal
• Majdik, András, HUN-REN SZTAKI—Hungarian Research Network, Hungary
• Mangroliya, Meetkumar Pravinbhai, University of Koblenz, Germany
• Manso, Marco, PARTICLE LTD, Portugal
• Marchiori, Massimo, UNIPD and EISMD, Italy
• Marcińczuk, Michał, Samurai Labs, Poland
• Marciniak, Jacek, Adam Mickiewicz University, Poland
• Marciniak, Małgorzata, Institute of Computer Science, Polish Academy of Sciences, Poland
• Marcinkowski, Bartosz, University of Gdansk, Poland
• Marciszewska, Barbara, Gdynia Maritime University, Poland
• Marghitu, Daniela, Auburn University, United States
• Markakis, Evangelos, Hellenic Mediterranean University, Greece
• Marko, Oskar, BioSense Institute, Serbia
• Martín-Navarro, Alicia, INDESS. University of Cádiz, Spain
• Martínez López, Pablo E., Universidad Nacional de Quilmes, Argentina
• Matson, Eric, Purdue University, United States
• Medeišis, Artūras, Vilnius Gediminas Technical University, Lithuania
• Mele, Valeria, University of Naples Federico II, Italy
• Melzer, Sylvia, University of Hamburg, Germany
• Meneses, Claudio, Universidad Católica del Norte, Chile
• Merkel, Manuel, University of Stuttgart, Germany
• Micota, Flavia, West University of Timisoara, Romania
• Mignone, Paolo, Università degli studi di Bari, Italy
• Mihaescu, Marian Cristian, University of Craiova, Romania
• Mihajlov, Martin, Jozef Stefan Institute, Slovenia
• Milašinović, Boris, University of Zagreb, Croatia
• Mildorf, Tomas, University of West Bohemia, Czech Republic
• Milella, Annalisa, CNR-STIIMA, Italy
• Millham, Richard, Durban University of Technology, South Africa
• Misra, Nn, Dublin Institute of Technology, Ireland
• Misra, Sanjay, Institute For Energy Technology, Norway
• Mocanu, Mihai, University of Craiova, Romania
• Modoni, Gianfranco, STIIMA-CNR, Italy
• Mollenhauer, Hannes, Helmholtz Centre for Environmental Research—UFZ, Germany
• Moraca, Slobodan, Faculty of Technical Sciences, Serbia
• Moshkov, Mikhail, KAUST, Saudi Arabia
• Mozgovoy, Maxim, University of Aizu, Japan
• Mullins, Roisin, University of Wales Trinity Saint David, United Kingdom
• Mumm, Rebekka, WIG2 Institute for Health Economics and Health System Research, Germany
• Muñoz, Andres, Universidad de Cádiz, Spain
• Muszyńska, Karolina, University of Szczecin, Poland
• Mykowiecka, Agnieszka, Institute of Computer Science, PAS and Polish-Japanese Academy of Information Technology, Poland
• Myszkowski, Pawel, Wroclaw University of Science and Technology, Poland
• Nguyen, Khuong An, University of London, United Kingdom
• Niewiadomska-Szynkiewicz, Ewa, Warsaw University of Technology, Poland
• Ota, Daniel, Fraunhofer FKIE, Germany
• Ozkan, Necmettin, Gebze Technical University, Turkey
• Oztutus, Ferhat, Hakkari University, Turkey
• Paliwoda-Pękosz, Grażyna, Krakow University of Economics, Poland
• Palma, Raul, Poznan Supercomputing and Networking Center, Poland
• Palmigiano, Alessandra, the Vrije Universiteit Amsterdam, Netherlands
• Paluszyński, Wiesław, Polish Information Processing Society, Poland
• Pandey, Dr. Rajiv, Amity University, India
• Pankowska, Malgorzata, University of Economics in Katowice, Poland
• Pataricza, András, Budapest University of Technology and Economics, Hungary
• Patterson, Alfred, University of Turku, Finland
• Pazienza, Andrea, NTT DATA Italia SpA & A3K Srl, Italy
• Peña, Josem, CSIC, Spain
• Petcu, Dana, West University of Timisoara, Romania
• Peukert, Hagen, University of Hamburg, Germany
• Pires, Ivan Miguel, Instituto de Telecomunicações, ESTGA, Universidade de Aveiro, Portugal
• Popescu, Elvira, University of Craiova, Romania
• Popović, Aleksandar, University of Montenegro, Montenegro
• Pop, Florin, Politehnica Bucharest, Romania / ICI Bucharest, Romania
• Porta, Marco, University of Pavia, Italy
• Po, Laura, Universitá di Modena e Reggio Emilia, Italy
• Przybyła-Kasperek, Małgorzata, University of Silesia in Katowice, Poland
• Ptaszynski, Michal, Kitami Institute of Technology, Japan
• Quessette, Franck, PRISM—University of Versailles, France
• Ramanna, Sheela, University of Winnipeg, Canada
• Rangel Henriques, Pedro, University of Minho, Portugal
• Rauch, Jan, Prague University of Economics and Business, Czech Republic
• Rechavi, Amit, Ruppin Academic Center, Israel
• Reformat, Marek, University of Alberta, Canada
• Reiser, Thomas, University of Koblenz, Germany
• Riedinger, Constanze, HTWG Konstanz, Germany
• Ristic, Sonja, University of Novi Sad, Serbia
• Rojek, Krzysztof, Czestochowa University of Technology, Poland
• Rossi, Bruno, Masaryk University, Czech Republic
• Roszczyk, Radosław, Warsaw University of Technology, Poland
• Rozevskis, Uldis, University of Latvia, Latvia
• Rytel, Marcin, NASK—National Research Institute, Poland
• Sachdeva, Shelly, National Institute of Technology Delhi, India
• Salvetti, Ovidio, Institute of Information Science and Technologies, CNR, Italy
• Sancho, Paula, University of Cádiz, Spain
• Saracino, Andrea, Scuola Superiore Universitaria Sant'Anna di Pisa, Italy
• Saraiva, João, University of Minho, Portugal
• Sari, Riri Fitri, University of Indonesia, Indonesia
• Sawerwain, Marek, University of Zielona Góra, Poland
• Schreiber, Celine, University Leipzig, Germany
• Schreiner, Wolfgang, Johannes Kepler University Linz, Austria
• Scozzari, Andrea, CNR ISTI, Italy
• Segedinac, Milan, Faculty of Technical Scieneces, Serbia
• Shah, Syed Ihtesham Hussain, Vrije University Amesterdam, Netherlands
• Shaska, Tony, Oakland University, United States
• Shen, Kao-Yi, Chinese Culture University, Taiwan
• Sidje, Roger B., University of Alabama, United States
• Sierra, Jose Luis, Universidad Complutense de Madrid, Spain
• Sifaleras, Angelo, University of Macedonia, Greece
• Sikorski, Marcin, Gdansk University of Technology, Poland
• Silva, Lincoln, Departamento de Tecnologia da Informação e Educação em Saúde—Faculdade de Ciências Médicas da UERJ, Brazil
• Skarmeta, Antonio, Universidad de Murcia, Spain
• Skórzewski, Paweł, Adam Mickiewicz University, Poland
• Skubalska-Rafajłowicz, Ewa, Wrocław University of Science and Technology, Poland
• Slivnik, Boštjan, University of Ljubljana, Slovenia
• Sosnowski, Łukasz, Systems Research Institute, Polish Academy of Sciences, Poland
• Sowański, Marcin, Samsung Research Poland, Poland
• Söylemez, Mehmet, Hacettepe University, Turkey
• Stanczyk, Urszula, Silesian University of Technology, Poland
• Stark, Sandra, Leipzig University, Germany
• Stavness, Ian, University of Saskatchewan, Canada
• Steiner, Petra, Federal Institute for Vocational Education and Training (BIBB), Germany
• Štěpánek, Lubomír, Faculty of Medicine, Charles University; Faculty of Informatics and Statistics, University of Economics, Czech Republic
• Stoean, Ruxandra, University of Craiova, Romania
• Stoica, Cosmin, University of Craiova, Romania
• Stoicu-Tivadar, Lăcrămioara, "Politehnica" University Timisoara, Romania
• Stój, Jacek, Silesian University of Technology, Poland
• Strzelecki, Artur, University of Economics in Katowice, Poland
• Stutzer, Franziska, WIG2 Institute for Health Economics and Health System Research, Germany
• Subbotin, Sergey, National University "Zaporizhzhia Polytechnic", Ukraine
• Suraj, Zbigniew, University of Rzeszów, Poland
• Swacha, Jakub, University of Szczecin, Poland
• Świechowski, Maciej, QED Software, Poland
• Sysko-Romańczuk, Sylwia, Warsaw University of Technology, Poland
• Syta, Jakub, Akademia Marynarki Wojennej w Gdyni, Poland
• Szantoi, Zoltan, European Space Agency, Italy
• Szczech, Izabela, Poznan University of Technology, Poland
• Szczuka, Marcin, The University of Warsaw, Poland
• Szmit, Maciej, University of Lodz, Poland
• Szumski, Oskar, University of Warsaw Faculty of Management, Poland
• Szustak, Lukasz, Czestochowa University of Technology, Poland
• Ślęzak, Michał, Polish-Japanese Academy of Information Technology, Poland
• Taglino, Francesco, IASI-CNR, Italy
• Telek, Miklos, Budapest University of Technology and Economics, Hungary
• Tomczyk, Łukasz, Jagiellonian University, Poland
• Tomović, Savo, University of Montenegro, Montenegro
• Töreyin, Behçet Uğur, Istanbul Technical University, Turkey
• Trabert, Thomas, Helmholtz Centre for Environmental Research—UFZ, Germany
• Trocan, Maria, Institut Supérieur d'Électronique de Paris, France
• Tsihrintzis, George A., University of Piraeus, Greece
• Tudruj, Marek, Institute of Computer Science, Polish Academy of Sciences, Poland
• Udristoiu, Anca, University of Craiova, Romania
• Ullah, Ubaid, Deusto University Bilbao, Spain
• Ullah, Zaib, Università Telematica Giustino Fortunato, Italy
• Unland, Rainer, University of Duisburg-Essen, ICB, Germany
• Valle, Marcos Eduardo, Universidade Estadual de Campinas, Brazil
• Varanda Pereira, Maria João, Instituto Politécnico de Bragança, Portugal
• Vardanega, Tullio, University of Padua, Italy
• Vasiliadis, Giorgos, Hellenic Mediterranean University and FORTH-ICS, Greece
• Vega-Rodríguez, Miguel A., University of Extremadura, Spain
• Vescoukis, Vassilios, National Technical University of Athens, Greece
• Vogiatzis, Chrysafis, University of Illinois, United States
• Vo, Bich Khue, University of Finance—Marketing, Viet Nam
• Vuković, Željko, Faculty of Technical Sciences, Serbia
• Wahid, Khan Ferdous, Airbus Group, Germany
• Walters, Kamila, University of Brighton, School of Business and Law, United Kingdom
• Wątróbski, Jarosław, West Pomeranian University of Technology, Poland
• Wawer, Aleksander, Institute of Computer Science, Polish Academy of Sciences, Poland
• Wecel, Krzysztof, Poznan University of Economics and Business, Poland
• White, Martin, University of Sussex, United Kingdom
• Wiesmayr, Bianca, Johannes Kepler University Linz, Austria
• Wilcockson, Thomas, Loughborough University, United Kingdom
• Winnige, Stefan, Federal Institute for Vocational Education and Training (BIBB), Germany
• Wojszczyk, Rafał, Koszalin University of Technology, Poland
• Wrona, Konrad, NCIA, Poland
• Wyrzykowski, Roman, Czestochowa University of Technology, Poland
• Xenakis, Christos, University of Piraeus, Greece
• Yasir, Muhammad, IREA-CNR, Italy
• Zargayouna, Mahdi, Université Gustave Eiffel, France
• Zaza, Gianluca, University of Bari Aldo Moro, Italy
• Zborowski, Marek, University of Warsaw, Poland
• Zielinski, Zbigniew, Military University of Technology, Poland
• Ziemba, Paweł, University of Szczecin, Poland
• Zurutuza, Urko, Mondragon Unibertsitatea, Spain

Acknowledgments

In conclusion, let us emphasize that delivery of FedCSIS 2025 required a dedicated effort of many people. We would like to express our warmest gratitude to all Topical Area Curators, Thematic Session organizers, members of the FedCSIS 2025 Senior Program Committee and members of the FedCSIS 2025 Program Committee (a total of more than 600 individuals), for their hard work in attracting and reviewing all submissions. We thank the authors of papers for their great contribution to the theory and practice of Computer Science and Intelligence Systems. We are grateful to Keynote and Invited Speakers for sharing their knowledge and experiences with the participants. Last, but not least, we acknowledge, one more time, Jarosław Wąs, Tomasz Hahaj, Łukasz Rauch, Anna Smyk, Anna Stolarczyk Piotrowska, Marian Bubak and Marek Grzegorowski, and their Team, Anastasiya Danilenka and Paweł Szmeja, as well as a fantastic group of student helpers. We are very grateful for your efforts!

We also hope to meet you again for the 21st Conference on Computer Science and Intelligence Systems (FedCSIS 2026) which will take place in Riga, Latvia, on August 23-26, 2026.

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Parts 4 and 5 of FedCSIS 2025 Proceedings contain contributions originating from the Thematic Sections. Let us briefly introduce each one of them (in alphabetical order).

AI in Agriculture

Artificial Intelligence (AI) is increasingly used in agriculture for a variety of uses, from plant disease detection to weeding automation, soil status monitoring, crop prediction, irrigation management, and decreased use of resources for improving quality and productivity. This Thematic Session welcomes contributions related to a wide variety of interdisciplinary research and applications related to the application of intelligence systems in agriculture. AI can, in fact, provide highly positive effects on precision agriculture by optimizing, automating, and forecasting several aspects of farming and revolutionizing the sector, providing helpful information and driving decisions using multiple sources of data and different sensors.

Moreover, in the climate change era, AI can improve sustainability by optimizing resources such as water and soil management as well as fostering novel methods and approaches. We welcome innovative contributions, early results, and position papers addressing one or more of the topics listed below. We intend to foster informal discussions and bring together researchers, practitioners, and industry experts to explore the challenges and opportunities of intelligence systems and agriculture.

This Thematic Session was organized by:

• Charvat, Karel, Czech Center for Science and Society, Czech Republic
• Martinelli, Massimo, Institute of Information Science and Technologies, National Research Council of Italy, Italy
• Moroni, Davide, Institute of Information Science and Technologies, National Research Council of Italy, Italy
• Procházka, Ales, University of Chemistry and Technology and Czech Technical University CIIRC, Czech Republic

AI in Digital Humanities, Computational Social Sciences and Economics Research

This thematic session is dedicated to the computational study of Social Sciences, Economics and Humanities, including all subjects like, for example, education, labour market, history, religious studies, theology, cultural heritage, and informative predictions for decision--making and behavioural-science perspectives. While digital methods, intelligence systems, and AI have been emerging topics in these fields for several decades, this thematic session is not only limited to discoveries in these domains, but also dedicated to the reflections of these methods and results within the field of computer science. Thus, we are in particular interested in interdisciplinary exchange and dissemination with a clear focus on computational and AI methods for intelligence systems.

Since there is a clear methodological overlap between these three domains and often similar algorithms and AI approaches are considered, we see this thematic session as place for interdisciplinary learning, discussing a joint toolbox as a support for scholars from these field with human and context-aware agents.

The aim of this thematic session is thus to bridge the gap between scientific domains, foster interdisciplinary exchange and discuss how research questions from other domains challenge current computer science. In particular, we are interested in communications between researchers from different fields of computer science, social sciences, economics, humanities, and practitioners from different fields

This Thematic Session was organized by:

• Cooper, Anthony-Paul, Durham University, United Kingdom and University of Turku, Finland
• Dörpinghaus, Jens, BIBB and University of Koblenz, Germany
• Helmrich, Robert, BIBB and University of Bonn, Germany
• Speckesser, Stefan, Brighton University, United Kingdom
• Tiemann, Michael, BIBB and University of Koblenz, Germany

Advances in Programming Languages

Programming languages are the most fundamental tools for programmers. With the right programming languages, one can significantly reduce the cost of building new applications and maintaining existing ones. Over the last few decades, there have been substantial advances in programming language technology within traditional paradigms such as functional, logic, object—oriented, and aspect—oriented programming. Today the growing influence of artificial intelligence on programming paradigms and the development of software systems is rapidly reshaping the field. Above all, programming tools based on generative artificial intelligence have become a standard, transforming programming practices in both academia and industry. The methods and approaches for selecting, adapting, and evaluating AI techniques for programming language design and implementation have become a critical area of research. Within this context, new advances in programming language research are also contributing to the design and implementation of autonomous and intelligent systems, such as those developed under the umbrella of agent—oriented programming. The primary motivation has always been, and will continue to be, to enable a more effective formulation of programmers' ideas. As a result, research in programming languages remains a perpetual activity and lies at the core of computer science. Hence, new language features and programming paradigms—particularly those enhanced by AI techniques — as well as improved compile—time and run—time mechanisms, can be anticipated in the near future.

This Thematic Session was organized by:

• Janousek, Jan, Czech Technical University, Czech Republic
• Rangel Henriques, Pedro, Universidade do Minho, Portugal
• Slivnik, Boštjan, University of Ljubljana, Slovenia
• Varanda Pereira, Maria Joao, Instituto Politecnico de Braganca, Portugal

Computer Aspects of Numerical Algorithms

Numerical algorithms are widely used by scientists engaged in various areas. There is a special need of highly efficient and easy--to--use scalable tools for solving large scale problems. This Thematic Session is devoted to numerical algorithms with the particular attention to the latest scientific trends in this area and to problems related to implementation and utilization of libraries of efficient numerical algorithms. The goal is the meeting of researchers from various institutes and exchanging of their experience, and integrations of scientific centers.

This Thematic Session was organized by:

• Bylina, Beata, Maria Curie-Skłodowska University, Poland
• Bylina, Jarosław, Maria Curie-Skłodowska University, Poland
• Cyganek, Bogusław, AGH University of Kraków, Poland
• Lirkov, Ivan, Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, Bulgaria
• Stpiczyński, Przemysław, Maria Curie-Skłodowska University, Poland

Challenges for Natural Language Processing

Natural Language Processing technologies enable Intelligence Systems to analyze, interpret, and generate human language, enhancing their capabilities to communicate and make informed decisions. This Thematic Session is dedicated to natural language processing methods that address challenging, non--obvious problems with the goal of advancing human language technologies. Special attention is given to tools that approach multilingual tasks, utilize cross--lingual learning and process natural languages that are not widely represented in other events.

This Thematic Session was organized by:

• Kobyliński, Łukasz, Institute of Computer Science, Polish Academy of Sciences, Poland
• Kubis, Marek, Adam Mickiewicz University, Poland

Computational Optimization

In the real world, Intelligence Systems address numerous problems in the fields of engineering, economics, medicine, and other domains. Many of these problems can be formulated as optimization tasks, in particular, we may consider challenges that are frequently characterized by non--convex, non--differentiable, discontinuous, noisy, or dynamic objective functions and constraints that ask for adequate computational methods.

The aim of this Thematic Session is to stimulate communication between researchers working on different fields of optimization and practitioners who need reliable and efficient computational optimization methods.

This Thematic Session was organized by:

• Fidanova, Stefka, Institute of Information and Communication Technologies at Bulgarian Academy of Sciences, Bulgaria
• Mucherino, Antonio, IRISA, University of Rennes, France
• Zaharie, Daniela, West University of Timisoara, Romania

Data Science in Health, Ecology and Commerce

Data Science in Health, Ecology and Commerce is a thematic session on the intersections of data analysis, data economics, information systems and data-based research. The workshop is explicitly focusing on the interaction of those four fields and interdisciplinary research. Here, data—driven solutions can be generated by understanding complex real—world (e.g. smart health services, interaction of ecological factors on wellbeing or the economic effects of sustainable infrastructures) related problems, critical thinking and analytics to derive knowledge from (big) data. The past years have shown a forthcoming interest in innovative data technology and analytics solutions that link and utilize large amounts of data across individual digital ecosystems. Innovative applications scenarios in the field of health, smart cities or sustainable value systems merge data from various IoT devices, social media or application systems and demonstrate the great potential for gaining new insights, supporting decisions or providing smarter services. Together with inexpensive sensors and computing power we are ahead of a world that bases its decisions on data. However, we are only at the beginning of this journey, and we need to further explore the required methods and technologies as well as the potential application fields and the impact on society and economy. This endeavor needs the knowledge of researchers from different fields applying diverse perspectives and using different methodological directions to find a way to grasp and fully understand the power and opportunities of data science.

This Thematic Session was organized by:

• Bumberger, Jan, Helmholtz Centre for Environmental Research, Germany
• Fernandes De Muylder, Cristiana, Universidade FUMEC, Brazil
• Franczyk, Bogdan, Wrocław University of Economics, Poland and Leipzig University, Germany
• Häckl, Dennis, Leipzig University, Germany
• Militzer-Horstmann, Carsta, Leipzig University, Germany
• Reinhold, Olaf, Cooperative State University Saxony, Germany

Education & AI systems

Etymologically, the word ``school'' originally meant ``leisure,'' or from the ancient Greek \selectlanguage{greek} σχολή \selectlanguage{english}(scholē). Today, this foundational sense of leisure has often been lost as modern education focuses heavily on efficiency and structure. However, recent advances in AI technology, particularly generative AI (G--AI), have opened doors to newly creative ways of transmitting and sharing knowledge. This thematic session seeks to explore the transformative potential of AI-driven tools, especially chatbots and conversational agents, in education.

This session welcomes perspectives ranging from critical assessments to enthusiastic endorsements of AI’s role in education. Questions include:

• What is now possible in education with the massive advent of new AI technologies?
• How can educational approaches be transformed to meet contemporary needs?
• What standards and best practices should be developed?
• What are the positive aspects, threats, and challenges of AI implementation?
• How can AI tools make education more creative, high-quality, and accessible, especially for underprivileged groups?
• How can G--AI enhance informed decision-making while addressing potential threats and security issues?

This Thematic Session was organized by:

• Dan, Daniel, MODUL University, Austria
• Nakayama, Minoru, Institute of Science Tokyo, Japan
• Wróblewska, Warsaw University of Technology, Poland

Information Systems Management

This thematic session is a forum for the exchange of ideas for practitioners and theoreticians working in the broad area of information systems management in organizations. We invite you to submit papers from three complementary directions: information systems management in organizations, the use of information systems to strengthen the position of managers, and management information systems in the context of sustainable development. We are particularly interested in aspects of the adaptation of modern technologies in management information systems, i.e. the possibilities of using artificial intelligence, robotic process automation, and business intelligence in supporting the work of managers, decision--making, and setting directions for the strategic development of organizations. We also we expect papers on the impact of information systems on sustainable development and the assessment of this process.

This Thematic Session was organized by:

• Bicevska, Zane, University of Latvia, Latvia
• Chmielarz, Witold, University of Warsaw, Poland
• Leyh, Christian, Technische Hochschule Mittelhessen, Germany
• Sołtysik-Piorunkiewicz, Anna, University of Economics in Katowice, Poland

Model Driven Approaches in System Development

For many years, various approaches in system design and implementation differentiate between the specification of the system and its implementation on a particular platform. People in software industry have been using models for a precise description of systems at the appropriate abstraction level without unnecessary details. Model--Driven (MD) approaches to the system development increase the importance and power of models by shifting the focus from programming to modeling activities. Models may be used as primary artifacts in constructing software, which means that software components are generated from models.

In the AI era, MD approaches provide a structured framework for the design, development and optimization of complex systems by creating models that represent different system components, learning algorithms, neural networks and/or other components of a system. At the same time, adaptability is increased as the entire system can be updated quickly without having to rewrite large parts of the code, making it easier to integrate new functions or intelligent components.

A goal of the proposed workshop is to bring together people working on MD approaches, techniques and tools as well as domain--specific modeling (DSM) and domain--specific languages (DSL) and applying them in all aspects of intelligent or other information systems, in order to share their experiences, develop new ideas, evaluate and improve MD approaches, and disseminate their application. The intent is to strive for an interdisciplinary nature of MD approaches in software development, as well as research topics expressed by, but not limited to, acronyms such as Model Driven Software Engineering (MDSE), Model Driven Development (MDD), Domain Specific Modeling (DSM), and OMG's Model Driven Architecture (MDA). Apart from analyzing application perspectives of MD approaches in intelligent systems, another important aspect nowadays that MDASD intends to cover is how to deploy modern AI/ML based approaches in the software process based on a wide spectrum of MD approaches.

This Thematic Session was organized by:

• Milašinović, Boris, University of Zagreb, Croatia
• Ristić, Sonja, University of Novi Sad, Serbia
• Tolvanen, Juha-Pekka, MetaCase, Finland

International Forum on Cyber Security, Privacy, and Trust

In today’s digital age, information security serves as a backbone for protecting both user data and electronic transactions. Safeguarding communications and data infrastructures in an increasingly interconnected world has become more critical than ever. Security evolved into a vital scientific discipline, encompassing multifaceted complexities that require the collaboration of experts from computer science, engineering, information systems, and intelligence systems communities. Information security continues to advance through well--established technical research directions, including access control (user authentication and authorization), protocol security, software security, and data cryptography. Furthermore, emerging topics in organizational and intelligence--driven security have gained prominence alongside these traditional research areas.

The International Forum on Cyber Security, Privacy, and Trust thematic session emphasizes the diverse developments and deployments in cyber information security. It aims to highlight current challenges and present the latest research contributions. The forum serves as a platform to explore technical aspects of cyber security, innovative user privacy techniques, and trust mechanisms. Additionally, it broadens its scope to address emerging topics, such as social, organizational, and intelligence system--driven security research directions. NEMESIS’25 provides an inclusive forum for presenting theoretical and applied research papers, case studies, implementation experiences, and work--in--progress results in cyber security.

This Thematic Session was organized by:

• Debar, Hervé, Télécom SudParis, Institut Mines-Télécom, France
• Felkner, Anna, NASK—National Research Institute, Poland
• Ioannidis, Sotirios, Technical University of Crete, Greece
• Kadobayashi, Youki, Nara Institute of Science and Technology, Japan
• Świątkowska, Joanna, European Cyber Security Organisation, Belgium

Self Learning and Self Adaptive Systems

The proposed thematic session is focused on advanced Artificial Intelligence (AI) techniques and their applications in various fields. One of the advanced forms of AI methods is the Reinforcement Learning (RL) algorithms. RL or Self-learning systems are AI agents able to acquire and renew knowledge over time without hard coding. These are adaptive systems whose functions improve by a learning process based—typically—on the method of trial and error. A self-learning system initially interacts with its users or surrounding environment by attempting and observing the changes produced by its actions. This session will focus on the design, implementation, and exploitation of self-learning features within an Intelligent Environment or some of its components. The thematic session will represent an opportunity for academia and industry to debate the state-of-the-art challenges and open issues.

This Thematic Session was organized by:

• Naeem, Muddasar, Università Giustino Fortunato, Italy
• Coronato, Antonio, Università Giustino Fortunato, Italy
• Syed Tahir Hussain Rizvi, Wenn AsA, Norway

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