Research

Computer scientist and psychologist trying to combine expertise from both disciplines into something cool.

My research activity focuses on:

• the development of affective HCI/BCI interfaces (based on multimodal fusion of signals and contextual data)
• methods for processing sensory data (including semantization of such data)
• and the development of knowledge-based systems (in particular knowledge graphs and semantic web systems).

• BIRAFFE: Bio-Reactions and Faces for Emotion-based Personalization for AI systems – a series of experiments, placed in affective computing area, aimed at development of smart, affordable & wearable solutions for personalization of AI systems. Prepared datasets are available online (see this page for more details). They consists of electrocardiogram (ECG), galvanic skin reaction (GSR), gyroscope and changes in facial expression signals recorded during affect elicitation by means of audio-visual stimuli (from IADS and IAPS databases) and our proof-of-concept affective games. All the signals were captured using portable and low-cost equipment: BITalino (r)evolution kit, Creative Live! web camera and Sony DualShock 4 gamepad. Besides the signals, the datasets consist also of subjects’ self-assessment of their affective state after each stimuli, “Big Five” personality traits assessment and game involvement-related metrics (since 2018.09)
• BandReader: mobile data acquisition solution for wristbands (@Android), useful in affective solutions

• Loki: Semantic Wiki plugin for DokuWiki: ideas, development and maintenance (since 2015.07)
• Unit testing: Rule-Based Testing Framework for the Automation of the Unit Testing Process development. Framework is designed as Eclipse plugin. Specification is saved as decision tables in XTT2 notation. For more comprehensive description see paper (since 2012.10)

• Neurofeedback: Prefrontal EEG alpha asymmetry neurofeedback training for athletes: Master’s thesis @Institute of Psychology, Jagiellonian University (2014.10 – 2016.07)

Full list of my papers is available here.

Conferences/Workshops attended:

• 2024: AfCAI (IWINAC), YODA (JOWO/FOIS)
• 2023: PP-RAI, ECAI
• 2022: AfCAI (IWINAC), MRC (IJCAI/ECAI)
• 2021: ICCS, MRC (ECAI)
• 2020: MRC (ECAI), HAII (ECAI)
• 2019: SEMANTiCS
• 2018: AfCAI, ICAISC, HSI
• 2017: ICAISC, FedCSIS, MCSS, LTC
• 2016: AfCAI, AI*IA
• 2015: CYBCONF, FedCSIS
• 2014: ICAISC, KESE (ECAI)
• 2013: KESE (KI)

Details of the presentations/papers can be found on the Papers page.

2024

1. Co-Chair and Co-Organizer of the ContemporarY Ontologies for Digital Archives (YODA) Workshop held as part of the JOWO 2024, July 15 – 19, 2024, Enschede, Netherlands.
2. Co-Chair and Co-Organizer of the 5th Workshop on Affective Computing and Context Awareness in Ambient Intelligence (AfCAI 2024) held as part of the IWINAC2024, June 4 – June 7, 2024, Olhao, Algarve, Portugal.
3. PC Member at 27th European Conference on Artificial Intelligence (ECAI 2024)
4. PC Member of Applied Data Science Track at European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2024)

2023

1. Organizing Committee Member at 26th European Conference on Artificial Intelligence (ECAI 2023), September 30 – October 4, 2023, Kraków, Poland.
2. PC member of Young.AI track at 4th Polish Conference on Artificial Intelligence (PP-RAI’2023), April 24-26, 2023, Łódź, Poland.

2022

1. Co-Chair and Co-Organizer of the 4th Workshop on Affective Computing and Context Awareness in Ambient Intelligence (AfCAI 2022) held as part of the IWINAC2022, May 31 – June 3, 2022, Tenerife, Canary Islands, Spain.

2020

1. PC member of AI, Machine & Deep Learning in Societal Automation track at SA 2020: 2nd International Conference on Societal Automation, September 9-11, 2020, Funchal, Madeira, Portugal.

• [2024] Reviewer for 27th European Conference on Artificial Intelligence (ECAI 2024)
• [2024] Reviewer for European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2024)
• [2024] Reviewer for Nature Scientific Data (IF 9.8)
• [2024] Reviewer for IEEE Transactions on Affective Computing (IF 11.2)
• [2024, 2022] Reviewer for International Conference on Computational Science (ICCS 2022, ICCS 2024)
• [2022] Reviewer for Expert Systems (IF 2.812)
• [2021, 2017] Reviewer for Future Generation Computer Systems (IF 6.125)
• [2021, 2020] Reviewer for MDPI Applied Sciences (IF 2.217)
• [2021] Reviewer for MDPI International Journal of Environmental Research and Public Health (IF 2.846)
• [2021] Reviewer for the 33rd IEEE International Conference on Tools with Artificial Intelligence (ICTAI)
• [2021] Reviewer for HICSS 55 Conference
• [2020-…] Reviewer Board Member for MDPI Information
• [2020] Reviewer for Elsevier Computers & Electrical Engineering (IF 2.663)
• [2020] Reviewer for MDPI Sustainability (IF 2.576)
• [2020] Reviewer for MDPI Future Internet
• [2020, 2019, 2018] Reviewer for IEEE Access (IF 3.557)
• [2020] Reviewer for The 13th International Conference on Knowledge Science, Engineering and Management (KSEM 2020)
• [2019] Reviewer for MDPI Sensors (IF 3.031)
• [2019, 2018] Reviewer for Computing and Informatics (IF 0.524)
• [2017] Reviewer for 9th Asian Conference on Intelligent Information and Database Systems (ACIIDS 2017)

Verified list of (almost all) peer reviews is available at Publons profile.

1. Krzysztof Kutt (21.03.2024). O potrzebie bogatych metadanych w bibliotekach cyfrowych [On the need for rich metadata in digital libraries]. Department of Computer Design and Graphics, Jagiellonian University, PL
2. Krzysztof Kutt (15.11.2023). Grafy wiedzy. Czym są, jak je tworzyć i po co? [Knowledge Graphs. What are they, how to create them and why?]. Open Seminar of the European Heritage in the Jagiellonian Library: Digital Authoring of the Berlin Collections. Core Facility – DiHeLib project, Kraków, PL
3. Krzysztof Kutt (13.11.2023). Knowledge Graphs​ for Manuscript Collections. “Enigmas of Chance” Seminar, Mark Kac Center for Complex Systems Research, Kraków, PL
4. Roman Sosnowski, Piotr Tylus, Jadwiga Kita-Huber, Remigiusz Sapa, Grzegorz J. Nalepa & Krzysztof Kutt (08.12.2022). Digitalization of library handwriting resources and opportunities for Artificial Intelligence. The case of Autographa Sammlung in the Jagiellonian Library​. Artificial Intelligence in Research and Applications Seminar (AIRA) [slides]
5. Grzegorz J. Nalepa, Szymon Bobek & Krzysztof Kutt (10.06.2022). Perspectives on Applications of Intelligent Systems in Humanized AI. Recent projects of the GEIST team. “Collective Intelligence in Information Systems” seminar, Wrocław, PL
6. Krzysztof Kutt (18.11.2021). AI with psychology – a few words on affective adaptation and personalisation of intelligent systems. Artificial Intelligence in Research and Applications Seminar (AIRA) [slides]
7. Krzysztof Kutt (27.05.2021). Knowledge Engineering with Semantic Wikis and Knowledge Graphs. Department of Computer Design and Graphics, Jagiellonian University, PL
8. Krzysztof Kutt, Szymon Bobek, Grzegorz J. Nalepa (23.10.2019). Can a machine understand how you feel by watching you? Engineering Design Centre, Cambridge, UK
9. Krzysztof Kutt (09.05.2018). Collaborative Knowledge Engineering. Methods and Tools for System Design. “Collective Intelligence in Information Systems” seminar, Wrocław, PL [slides]

1. [2023, MSc Thesis] Sebastian Dadał, “Deep reinforcement learning in an OpenAI Gym environment”, Jagiellonian Uni
2. [2023, MSc Thesis] Leszek Iwanowski, “Process Mining in Affective Games”, Jagiellonian Uni
3. [2023, MSc Thesis] Łukasz Wójcik, “Development of single- and multimodal models of automatic emotion prediction”, Jagiellonian Uni
4. [2022, MSc Thesis] Kacper Schnetzer, “Emotional reactions of artificial intelligence in exposure to affective images”, Jagiellonian Uni
5. [2022, MSc Thesis] Mateusz Ocytko, “Using the Unity engine to create tower defense game for mobile devices”, Jagiellonian Uni
6. [2022, MSc Thesis] Katarzyna Kołodziej, “Analysis and recognition of emotions based on interactions with the game engine”, Jagiellonian Uni
7. [2022, MSc Thesis] Damian Topolski, “Prototype of weather-sensitive ecosystem simulation tool”, Jagiellonian Uni
8. [2022, MSc Thesis] Łukasz Ściga, “Dynamic difficulty adjustment in game using affective feedback”, Jagiellonian Uni
9. [2022, MSc Thesis] Agnieszka Konopka, “Interactive simulation of soft tissue behaviour resulting from pressure and cut”, Jagiellonian Uni
10. [2022, MSc Thesis] Rafał Krzyś, “Affective music recommendation system with the use of EDGE AI”, Jagiellonian Uni
11. [2022, MSc Thesis] Jan Ignatowicz, “Study of generative models in creating emotionally charged images”, Jagiellonian Uni
12. [2021, MSc Thesis] Wojciech Wójciak, “Study of the impact of game elements on the user in horror games”, Jagiellonian Uni
13. [2021, MSc Thesis] Damian Niżnik, “Research on the influence of computer game elements on emotional stabilization”, Jagiellonian Uni
14. [2020, MSc Thesis] Radosław Wątroba, “Automatic generation of emotionally charged images”, AGH UST
15. [2020, MSc Thesis] Maciej Mucha, “Design and implementation of a chatbot based on machine learning”, AGH UST
16. [2020, MSc Thesis] Izabela Stechnij, “A software for analyzing understanding of decision models based on an eye tracking”, AGH UST
17. [2020, MSc Thesis] Maciej Prażuch, “Geolocalization-based recommendations with the use of open datasets”, AGH UST
18. [2020, MSc Thesis] Agnieszka Gazda, “Emotion prediction models in affective computing”, AGH UST
19. [2020, MSc Thesis] Krzysztof Świder, “Design and implementation of mobile game that analyses contextual information”, AGH UST
20. [2020, MSc Thesis] Szymon Majkut, “Design and implementation of an interactive historical atlas”, AGH UST
21. [2020, MSc Thesis] Daniel Stefanik, “Methods of machine learning models explanation”, AGH UST
22. [2020, MSc Thesis] Karol Sowa, “Ontology-based explainable machine learning models”, AGH UST
23. [2020, MSc Thesis] Sebastian Skoczeń, “Intelligent talent database with recommendation mechanisms”, AGH UST
24. [2020, BSc Thesis] Kamil Kwiatkowski, “Audio source separation using neural networks”, AGH UST
25. [2020, BSc Thesis] Bartosz Sadłowski, “Determination of creditworthiness with the use of machine learning”, AGH UST
26. [2020, BSc Thesis] Karolina Bogacka, “Methods of emotional filtering of the message stream”, AGH UST
27. [2020, BSc Thesis] Bohdan Tomczykiewicz, “Comparison of methods for predicting match results on the example of League of Legends game”, AGH UST
28. [2020, BSc Thesis] Juliusz Ryłko, “Mobile app for finding live amateur football matches”, AGH UST
29. [2020, BSc Thesis] Mateusz Szymkowski, “Prediction of emotions based on sensory data and facial expressions”, AGH UST
30. [2020, BSc Thesis] Łukasz Bednarski, “Artificial neural network visualisation methods”, AGH UST
31. [2020, BSc Thesis] Kornel Wilk, “Building knowledge base by processing written language”, AGH UST
32. [2020, BSc Thesis] Olga Mrozowicz, “Processing sketches of user interface to digital wireframes”, AGH UST
33. [2020, BSc Thesis] Marcin Kamiński, “Web application for managing the machine learning process”, AGH UST
34. [2019, MSc Thesis] Katarzyna Chrzanowska, “Design of an emotive interface based on EEG signal”, AGH UST
35. [2019, MSc Thesis] Justyna Kułaga, “Sentiment analysis based system to warn against sending negative emails”, AGH UST
36. [2019, MSc Thesis] Marcel Ghayyeda, “Project and implementation of a nurse scheduling assistant system”, AGH UST
37. [2019, BSc Thesis] Marcin Jakubowski, “Mobile application for the prediction of emotion based on voice characteristics”, AGH UST
38. [2019, BSc Thesis] Jarosław Kilian, “Emotion recognition model based on selected physiological signals”, AGH UST
39. [2019, BSc Thesis] Agnieszka Barszcz, “Development of an emotions prediction model based on psychophysiological data”, AGH UST
40. [2019, BSc Thesis] Paweł Dzień, “Design and implementation of tools for handling psychological experiments on a mobile platform”, AGH UST
41. [2019, BSc Thesis] Maciej Mucha, “Design and implementation of emotionally charged images generator using the GAN method”, AGH UST
42. [2019, BSc Thesis] Klaudia Budzyńska, “Design and implementation of face and handwritting recognition modules for the electronic class register”, AGH UST
43. [2019, BSc Thesis] Maciej Prażuch, “Design and implementation of the gamification module for a semantic wiki”, AGH UST
44. [2019, BSc Thesis] Natalia Materek, “Design and evaluation of interfaces for various user groups in a semantic wiki”, AGH UST
45. [2019, BSc Thesis] Izabela Adamska, “Design of an adaptive semantic wiki user interface for various user groups”, AGH UST
46. [2019, BSc Thesis] Szymon Majkut, “Design and implementation of a mobile tourist recommendation system”, AGH UST
47. [2019, BSc Thesis] Sebastian Skoczeń, “A voice travel recommendation system using Linked Open Data”, AGH UST
48. [2019, BSc Thesis] Kacper Leśniak, “Speaker recognition system based on GRU neural networks”, AGH UST