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  1. ProjectMachine Learning for Chronic-Stress Symptoms in Preclinical StudiesAugments automated mouse-behaviour analysis with EEG neurophysiology, learning combined representations to identify stress phenotypes and evaluate pharmacological interventions. ML EEG Behavioural analysis Preclinical Healthcare
  2. PersonAleksandra Kawala-SterniukAssociate Professor · Human-Machine Interfaces Brain-Computer Interfaces Biomedical Signal Analysis Neurodegenerative Diseases Machine Learning Electroencephalography Infrared Spectroscopy · M&M - Mind & Machine · Biomedical.ai · Professor Aleksandra Kawala-Sterniuk is an expert in Human-Machine Interfaces, Brain-Computer Interfaces, and biomedical signal processing. She holds a D.Sc. in…
  3. PersonArkadiusz JanzAssistant Professor · Machine Learning Natural Language Processing Semantic Networks Representation Learning Semantics · CLARIN-PL · Description in progress..
  4. PersonBartosz PerzAssistant · Affective Computing Machine Learning Physiological signals · Emognition · Bartosz is a Ph.D. student at the Department of Artificial Intelligence and a member of the Emognition research group. He does his research in affective computing; specifically he works on personalized specifically emotion recognition from physiological signals. Bartosz is also the head of the DaniE student…
  5. PersonDominika KuncPhD Student · Data Science Psychophysiology Affective Computing · Emognition · Dominika received the Eng. degree in Computer Science in 2020 and the M.Sc. degree in Computer Science, specialization in Data Science in 2021, both from Wrocław University of Science and Technology (WUST), Poland. She was one of the Top 10 Computer Science and Management faculty graduates in 2021. She is a Ph.D.…
  6. Persondr inż. Kamil TagowskiResearch Assistant Professor · Representation Learning Deep Learning Natural Language Processing · AAI · Representation Learning Group · Machine Learning enthusiast, a Ph.D. student with five years of experience in the field. Co-author of machine learning publications concerning graph representation learning field and natural language processing. 😊 Eager to deploy machine-learning techniques…
  7. Research groupgenwro.AIGenerative models: diffusion, 3D, uncertainty and explainability. · Maciej Zięba · genwro.ai develops generative and diffusion models, computer vision, 3D representations, uncertainty modeling, distillation, few-shot learning, explainable AI and machine unlearning. · generative models diffusion models computer vision uncertainty modeling model distillation few-shot learning 3D representations…
  8. PersonHalina KwasnickaFull Professor · Evolutionary Algorithms Machine Learning Object Cluster Hierarchy explainable artificial intelligence (xai) mechanistic interpretability of deep ai models · Biomedical.ai · genwro.AI · Halina Kwaśnicka, DSc, PhD, is a full Professor at the Department of Artificial Intelligence, the Faculty of Information and Communication Technology, Wroclaw University of Science and Technology,…
  9. PersonJakub BinkowskiPhD Student · Graph Represetantion Learninig Geometric Deep Learning NLP · AAI · Representation Learning Group · Jakub holds BSc and MSc in Computer Science and graduated from Wroclaw University of Science and Technology. His interest in machine learning and artificial intelligence starts in the early year of his studies. He has experience in scientific and commercial projects. During his career,…
  10. PersonJan JakubikAssistant · Deep learnning Audio analysis Generative media · Biomedical.ai · Research/education assistant, PhD Student, interested in applications of machine learning to music and audio analysis. Other research interest include methods of learning with insufficient labels, such as semi-supervised and weakly supervised learning. He participated in R&D projects regarding the use of ML to analyse…
  11. PersonJan KocońAssistant Professor · natural language processing personalization deep language models machine learning artificial intelligence cryptocurrencies · CLARIN-PL · HumaNLP · G4.19 · Jan Kocoń is an Assistant Professor at the Wroclaw University of Science and Technology, where he received a Ph.D. degree in computer science (2018) and an MSc. Eng. degree (2012). He is also AI/ML Team Leader and Senior…
  12. PersonKamil AdamczewskiAssistant Professor · genwro.AI · Kamil Adamczewski is a researcher and entrepreneur with over 10 years of experience in Machine Learning and Computer Vision, focusing on Efficient AI. He earned a PhD from ETH Zurich and Max Planck Institute for Intelligent Systems, a Master's in Computer Science from the University of Oxford, and a Master's in Computer Engineering from Seoul National University.…
  13. PersonKamil KanclerzPhD Student · Natural Language Processing Machine Learning GPU-based Deep Learning Artificial Intelligence · Kamil Kanclerz has been involved in research in the field of natural language analysis at the Wrocław University of Technology since 2019. He specializes in natural language processing in the following areas: sentiment analysis, information extraction, transfer learning, document…
  14. PersonKatarzyna JabłońskaPhD Student · Climbing roller skating · genwro.AI · Katarzyna Jabłońska is doing an implementation Ph.D. at Wrocław University of Science and Technology (WUST). She is also working as a Machine Learning Engineer in Remote Sensing Business Solutions, where she uses spectral data and Artificial Intelligence to reduce the impact of opencast mines. She holds a master’s degree in Data Science from the…
  15. PersonKonrad KaranowskiPhD Student · ai for science generative models structural biology computer vision · genwro.AI · Konrad Karanowski is a PhD student in the genwro.AI research group at Wrocław University of Science and Technology. His research focuses on the application of artificial intelligence to natural sciences, with particular emphasis on machine learning methods for cryogenic electron microscopy (cryo-EM).
  16. PersonŁukasz AugustyniakAssistant · Sentiment Analysis Information Extraction from Texts Legal Text Analysis Social Media Monitoring ASR Transcriptions Analysis Language Modeling Recommendation Engines IP Law · AAI · Łukasz is a Data Scientist with 8+ years of experience in various ML projects (social media monitoring, call center’s transcriptions analysis, recommendation engines, information extraction from texts,…
  17. PersonMaciej PiaseckiAssociate Professor · computational linguistics natural language processing machine learning semantic networks and lexical resources applications of AI in language and text analysis Polish language technology development · CLARIN-PL · G4.19 · Professor Maciej Piasecki is a researcher specializing in computational linguistics, natural language processing, and machine learning. His work focuses on…
  18. PersonMarcin PlataAssistant Professor · Marcin Plata is a researcher specializing in computational linguistics, natural language processing, and machine learning. His work focuses on areas such as the development of linguistic resources, semantic networks, Large Language Models, and applications of AI in text analysis. He has contributed significantly to advancing methods for analyzing and processing Polish…
  19. PersonMariusz PelcHabilitated Doctor of Engineering, research and teaching staff · bio-medical engineering edge ai neuromorphic computing ai applications expert and ai systems computer control systems · M&M - Mind & Machine · Biomedical.ai · Mariusz Pelc, PhD, DSc (Habil.), is an Associate Professor at Wrocław University of Science and Technology, Department of Artificial Intelligence. His current research focuses…
  20. PersonMateusz NurekAlumni PhD · Network Science Social Networks Analysis Machine Learning · Network Science Lab · Mateusz Nurek is a PhD Student at the Department of Artificial Intelligence, Wroclaw University of Science and Technology. His research area includes network science and machine learning. Mateusz is primarily interested in using computational intelligence to study social aspects; therefore, his current…
  21. PersonMateusz StolarskiPhD Student · football f1 pop culture · Network Science Lab · Data Scientist and PhD candidate in artificial intelligence, working on graph machine learning and complex network analysis. His research focuses on graph reduction, influence maximisation and control of processes occurring within complex networks.
  22. PersonMateusz WójcikPhD Student · Continual Learning Deep Learning Data Science · Mateusz Wójcik is a PhD Student at the Wroclaw University of Science and Technology. He obtained his Bachelor and Master degrees in Computer Science with specialization in Data Science. His current research along with his doctoral dissertation focuses on continual learning methods for neural networks. Mateusz is also a machine learning…
  23. PersonMichał CzubaAssistant · complex networked systems machine learning on graphs representation learning graph mining spreading phenomena social networks · Network Science Lab · I am a researcher working at the intersection of complex networks, deep learning, and agent-based modelling. My interests primarily cover machine learning on graphs (with a particular focus on graph neural networks), data mining,…
  24. PersonOleksii FurmanPhD Candidate · genwro.AI · Oleksii Furman is a Ph.D. candidate at Wrocław University of Science and Technology, specializing in machine learning and artificial intelligence. His research focuses on generative models and explainable AI (XAI), particularly counterfactual explanations that make complex machine learning models more transparent and interpretable. His work aims to bridge the gap…
  25. PersonPiotr BielakAssistant Professor · representation learning unsupervised graph embedding self-supervised learning · Representation Learning Group · Piotr is a passionate programmer and machine learning enthusiast. He started his research in ML while working at Intel on reinforcement learning methods for large scale cluster schedulers. The work was then continued during his Bachelor thesis (RL-based Linux…
  26. PersonPiotr KawaPhD Student · Computer Vision Speech Processing DeepFake Detection Text To Speech · WrocSec.ai / AMANITA · Piotr Kawa holds BSc and MSc in Computer Science and is currently PhD Student at Wroclaw University of Science and Technology. In his work he focuses on applications of machine learning in the selected aspects of information security. His research and professional interests focus on image…
  27. PersonPiotr SzymańskiAssistant Professor · urban data science spoken language understanding natural language processing representation learning · Geospatial & Mobility Research Group · Piotr Szymański is an assistant Professor at the Department of Artificial Intelligence at the Wrocław University of Science and Technology and a Machine Learning Engineer at Avaya. Professionally involved in data analysis, statistical…
  28. PersonPrzemysław KazienkoFull Professor · Machine Learning Affective Computing Emotion Recognition Wearables Personalization Natural Language Processing Human-centred NLP Social Media Analytics Social Networks · Emognition · HumaNLP · ImpactAI Lab · Przemysław Kazienko, Ph.D. is a full professor and leader of ENGINE - the European Centre for Data Science at Wroclaw University of Science and Technology, Poland and two…
  29. PersonRadosław MichalskiAssociate Professor · Network science Complex networks Spreading processes Blockchain Machine learning Temporal networks · BERG · Network Science Lab · Radosław Michalski is an Associate Professor with the Department of Artificial Intelligence, Wrocław University of Science and Technology, Wrocław, Poland. His research interests include network science, complex (especially temporal) networks, and…
  30. PersonTomasz KajdanowiczAssociate Professor, Head of Department · Large Language Models Social Network and Media Analysis Representation Learning Networks and Relational Learning Machine Learning Bayesian Methods Generative Models · AAI · Representation Learning Group · Professor Tomasz Kajdanowicz graduated with an MSc and Ph.D., both with honors, from Wroclaw University of Technology, Poland, in 2008 and 2012,…
  31. PersonTomasz WalkowiakAssistant Professor · natural language processing stylometry semantic similarity of texts deep language models out-of-distribution analysis · CLARIN-PL · Tomasz Walkowiak is a scientist working in the field of machine learning. He is one of the leading designers of the concept and architecture of the CLARIN-PL Language Technology Centre, which is built upon parallel, distributed, and efficient…
  32. PersonUrszula Markowska-KaczmarFull Professor · Deep learning Artificial life Black box model interpretability · Biomedical.ai · Urszula Markowska-Kaczmar is a professor at Wrocław University of Science and Technology, in the Department of Artificial Intelligence. She graduated from the Faculty of Electronics at Wrocław University of Technology, where she also received her Ph.D. In 2008, she obtained her D.Sc. (habilitation)…
  33. Research groupWrocSec.ai / AMANITAAI security and AI for security - from deepfakes to digital pathology. · Marek Klonowski · AMANITA develops methods for AI security, model robustness, deepfake detection, audio and avatar synthesis, biometrics, watermarking, privacy protection and computational pathology. · AI security adversarial examples data poisoning model hardening machine unlearning deepfake detection audio synthesis avatar…
  34. PublicationTowards personalized language models: significant advancements at the cost of emerging risksMateusz Gniewkowski, Paweł T Walkowiak, Marek Klonowski, Tomasz Walkowiak, Piotr Syga · ECML-PKDD 2027
  35. PublicationUnifying deep stochastic processes for image enhancementWojciech M. Kozłowski, Radosław Kuczbański, Kamil Adamczewski, Karol M Szczypkowski, Maciej M Zięba · W: Proceedings of the 43rd International Conference on Machine Learning, Seoul, South Korea, 6th-11th July 2026 / eds. Tong Zhang [i in.]. [Cambridge, MA : JMLR], cop. 2026. s. 1-27.
  36. PublicationAttention sinks as internal signals for hallucination detection in large language modelsJakub Binkowski, Kamil Adamczewski, Tomasz Kajdanowicz · W: Proceedings of the 43rd International Conference on Machine Learning, Seoul, South Korea, 6th-11th July 2026 / eds. Tong Zhang [i in.]. [Cambridge, MA : JMLR], cop. 2026. s. 1-18.
  37. PublicationInitial Study on Mental Disease Detection System Using Welch Transform and Machine Learning-Based MethodsMariusz Pelc, Kamil Adamczewski, Katarzyna M Białas, Rafał Chałupnik, Dawid Krutul, Dawid T Wolkiewicz, Aleksandra D Kawala-Sterniuk, Magda Żołubak, Dariusz Mikołajewski, Adrian Luckiewicz, Mateusz Koryciński, Waldemar Karwowski · Applied Sciences 2026 vol. 16, nr 10, art. 4697, s. 1-16.
  38. PublicationUnboxing the black box: a survey on mechanistic interpretability for algorithmic understanding of neural networksBianka S. Kowalska, Halina Kwaśnicka · Machine Learning 2026 vol. 115, art. 190, s. 1-41.
  39. PublicationA geometry-based view of Mahalanobis OOD detectionDenis P. Janiak, Jakub Binkowski, Tomasz Kajdanowicz · W: Proceedings of the 43rd International Conference on Machine Learning, Seoul, South Korea, 6th-11th July 2026 / eds. Tong Zhang [i in.]. [Cambridge, MA : JMLR], cop. 2026. s. 1-32.
  40. PublicationAbsolute cinema - old movies restoration using spatio-temporal restoration networkDaniel Borkowski, Dawid Glinkowski, Mikołaj Jastrzębski, Dawid Zieliński, Wojciech M Kozłowski · W: PP-RAI 2026 : 7th Polish Conference on Artificial Intelligence, 20-22.04.2026 Kraków, Poland / [AGH University of Krakow]. [B.m. : b.w., 2026]. s. 1-1.Praca prezentowana również jako plakat podczas GHOST Day: Applied Machine Learning Conference 2026, Politechnika Poznańska, 8-9.05.2026, gdzie zajęła 2. miejsce w konkursie na najlepszy plakat.
  41. PublicationUnHype: CLIP-guided hypernetworks for dynamic LoRA unlearningWojciech M Gromski, Maciej M Zięba, Piotr Wójcik, Maksym Petrenko, Przemysław Spurek · W: Proceedings of the 43rd International Conference on Machine Learning, Seoul, South Korea, 6th-11th July 2026 / eds. Tong Zhang [i in.]. [Cambridge, MA : JMLR], cop. 2026. s. 1-23.