Department of Artificial Intelligence · Wrocław University of Science and Technology
Artificial intelligence, researched in Wrocław.
We research and develop AI methods for language, vision, networks, and biomedical data, and work on trustworthy systems. We conduct research and teach at Wrocław University of Science and Technology.
Publications by year
2,218 since 1976
- 147
- People
- in the department directory
- 2218
- Publications
- +62 in 2026
- 25
- Active projects
- currently in progress
- 14
- Research groups
- centers and thematic groups
Research groups
14groups
Explore the groups, topics, and publications behind our work in machine learning, NLP, computer vision, complex networks, biomedical AI, and trustworthy systems.
All research groupsBiomedical.ai
Medical knowledge and experience combined with state-of-the-art AI.
- biomedical data analysis
- EEG
- fNIRS
Leadership: Urszula Markowska-Kaczmar
WrocSec.ai / AMANITA
AI security and AI for security - from deepfakes to digital pathology.
- AI security
- adversarial examples
- data poisoning
Leadership: Marek Klonowski
HumaNLP
Polish LLMs for medicine and inclusive communication.
- Polish LLMs
- on-premise NLP
- medical document analysis
Leadership: Przemysław Kazienko
Representation Learning Group
Representation learning in graphs, knowledge graphs and weight-space models.
- graph neural networks
- self-supervised graph learning
- graph representation learning
Leadership: Tomasz Kajdanowicz
Publications
2218+62 this year
Conference and journal papers, preprints, and datasets, synced daily from ORCID and OpenAlex.
Selected publications
FlowHMM: fow-based continuous hidden Markov models
Maciej M Zięba, Paweł Lorek, Rafał Nowak, Tomasz Trzciński
Neural Information Processing Systems Foundation, 2022
Improving LLM-Based Recommender Systems with User-Controllable Profiles
Stanisław J. Woźniak, Jacek J Duszenko, Jan Kocoń, Przemysław Kazienko
WWW 2025, 2025
Hallucination Detection in LLMs Using Spectral Features of Attention Maps
Jakub Binkowski, Denis P Janiak, Albert K Sawczyn, Tomasz Kajdanowicz et al.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025
PLLuM-Align: Polish Preference Dataset for Large Language Model Alignment
Julia A Moska, Dawid Motyka, Paweł T Walkowiak, Arkadiusz Janz et al.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025
Recently added
Sociodemographic Biases in Educational Counselling by Large Language Models
Tomasz Adamczyk, Wiktoria Mieleszczenko-Kowszewicz, Beata Bajcar, Grzegorz Chodak et al.
Springer Nature Switzerland AG, 2027
How Annotation Trains Annotators: Competence Development in Social Influence Recognition
Maciej Markiewicz, Beata Bajcar, Wiktoria Mieleszczenko-Kowszewicz, Aleksander Szczęsny et al.
Springer Nature Switzerland AG, 2027
Towards personalized language models: significant advancements at the cost of emerging risks
Mateusz Gniewkowski, Paweł T Walkowiak, Marek Klonowski, Tomasz Walkowiak et al.
ECML-PKDD 2027, 2027
People
147people
Meet the people who lead research, teach students, and develop scientific projects across the department.
Full directoryStanisław Markowski
PhD Student
Ewa Rudnicka
adiunkt badawczy
koordynator CLARIN-PL

Tomasz Kajdanowicz
Associate Professor
Head of Department

Piotr Bródka
Associate Professor
Deputy Head of the Department

Maciej Zięba
Full Professor
Deputy Head of the Department

Grzegorz Chodak
Associate Professor

Aleksandra Kawala-Sterniuk
Associate Professor

Przemysław Kazienko
Full Professor

Marek Klonowski
Full Professor

Halina Kwasnicka
Full Professor

Urszula Markowska-Kaczmar
Full Professor

Radosław Michalski
Associate Professor

Maciej Piasecki
Associate Professor

Stanisław Saganowski
Associate Professor
- +133 more in the directoryFull directory
Projects
Selected projects where department research becomes infrastructure, tools, and deployable AI.
All projects2024–2027
AITAX — AI Tax Advisor
AI system that streamlines tax advisory: defines factual circumstances, finds similar cases, summarizes authority positions, drafts interpretation requests.
Foundation for Polish Science
PI · Tomasz Kajdanowicz
NLP2025–2027
CLARIN — Shared Language Resources and Technological Infrastructure
Integrating LLM technology tools into the CLARIN-PL platform for research, business, and public-service users.
Ministry of Science and Higher Education (Poland)
NLP2024–2028
Machine Learning for Chronic-Stress Symptoms in Preclinical Studies
Augments automated mouse-behaviour analysis with EEG neurophysiology, learning combined representations to identify stress phenotypes and evaluate pharmacological interventions.
Ministry of Science and Higher Education (Poland)
ML
Study
Study artificial intelligence in Wrocław.
Bachelor's and master's programmes combining computer science and mathematics with projects, research, and industry collaboration.