Recent Ph.D. Students
- Dominika Kunc Dominika Kunc "Representation learning for real-life physiological signals in affective computing", Emognition
- Stanisław Woźniak "Personalized Adaptation of Large Language Models"
- Teddy Ferdinan "New Knowledge for Foundation LLMs"
- Bartłomiej Koptyra "Improvement of generalization abilities of Large Language Models in Polish"
- Maciej Markiewicz "Improving the educational capabilities of large language models in the area of social influence awareness and impact", ImpactAI
- Łukasz Radliński "Automatic and adaptable evaluation of Large Language Models"
- Jan Eliasz "Probabilistic Reasoning over Clinical Text in Language Models"
- Dzmitry Pihulski "Representation and size in hidden space of Reasoning Language Models for structurized scientific tasks"
Cooperating Ph.D. Students
- Aleksander Szczęsny, "Diversity control and adaptation to user expectations at text data generation using large language models" ImpactAI
- Tomasz Adamczyk, "Methods of explainable and steerable artificial intelligence in social reasoning: concept-based interpretation and control of language model internals" ImpactAI
- Piotr Matys "Methods for extraction, disambiguation and grounding of information in Polish administrative and medical documents with mixed printed and handwritten form"
- Jacek Duszenko "Internal Representations as an Instrument for Auditing the Behaviours of Deep Generative Neural Models: Detection in Activation and Weight Space and Elicitation by Reinforcement Learning"
- Mikołaj Langner "Verification transfer and its limits in training reasoning models beyond verifiable rewards"
- Konrad Kiełczyński "Interpretowalna detekcja i kontrola halucynacji w dużych modelach językowych poprzez geometrię trajektorii aktywacji i sterowanie cechami monosemantycznymi"
- Piotr Miłkowski, HumaNLP
- Joanna Komoszyńska, Emognition
- Łukasz Culer, Emognition
- Wei Jie Yeo, Nanyang Technological University, Singapore
- Sidney Suen, Nanyang Technological University, Singapore
Former, defended Ph.D. Students
- Kamil Kanclerz (defended on June 10, 2025), cooperation, informal supervision
- Bartosz Perz "Methods for personalized affect recognition from physiological signals in real life", defense February 28, 2025, final formal decision: March 19, 2025.
- Julita Bielaniewicz "Personalized methods in recognition of humor content" (Wykorzystanie metod personalizacji w zadaniu rozpoznawania treści humorystycznych), defense June 10, 2025, final formal decision: June 18, 2025.
- Kamil Tagowski "Representation Alignment for Dynamic Networks", defense December 13, 2024, final decision December 18, 2024, with honours.
- Marcin Kulisiewicz, "Event-driven Temporal Social Networks", defense: July 14, 2020, with honours.
- Piotr Szymański, "A Network Science Perspective on Label Dependencies in Multi-Label Classification", defense: December 13, 2019, with honours.
- Stanisław Saganowski, "Group Evolution Prediction in Social Networks", defense: February 27, 2018, with honours.
- Radosław Michalski, "Maximizing the Spread of Influence in Temporal Social Networks", defense: November 25, 2014.
- Tomasz Kajdanowicz, "Classification Methods based on Multi-label Problem Transformation", defense: October 2012, with honours. The best doctoral thesis in Poland in academic year 2012/13 - the prize awarded by Polish Artificial Intelligence Society.
- Piotr Bródka, "A Method for Group Extraction and Analysis in Multi-layered Social Networks", defense: October 2012, with honours.
Former non-defended Ph.D. Students, before 2020
- Mateusz Nurek "Data streams in social networks", overtaken by prof. Radoslaw Michalski
- Maciej Dzieżyc, "End-to-end Deep Neural Networks in Emotion Recognition from Physiological Signals"
- Roman Bartusiak, "Scalable massive networked data processing", changed supervisor (Tomasz Kajdanowicz)
- Rajmund Klemiński, "Heterogeneous data in prediction of research topic dynamics", changed supervisor in 2020 (Tomasz Kajdanowicz)
- Łukasz Augustyniak, "Complex networks and sentiment analysis of users opinion in social media", changed supervisor in 2020 (Tomasz Kajdanowicz)
- Adrian Popiel, tentative title: "Relational Learning Methods for Multiplex Networks"
- Anna Gilewska
- Włodzimierz Tuligłowicz, "Machine learning approach to review spam detection on the Internet"
- Grzegorz Kukla, tentative title: "Supporting Query Propagation in the Social Network Using Recommendations".
- Michalina Kotyla
- Paweł Masior
- Andrzej Misiaszek
- Tomasz Filipowski, tentative title: "Relational classification based on structural network decomposition"
- Michał Koperski
- Katarzyna Pasierb
- Marta Górska
- Łukasz Warchał, The Silesian University of Technology
- Dominik Popowicz, The Silesian University of Technology
- Sylwia Ciuberek
- Jarosław Gaworecki
- Krzysztof Litwin
- Piotr Doskocz
- Sebastian Palus
- Katarzyna Musiał, "A Method for Analysis of Node Position in the Network of Internet Users", defence: 11.2009, supporting supervisor.
- Marcin Pilarczyk
- Adam Przybycin