Welcome!
We are the Department of Artificial Intelligence at Wroclaw University of Science and Technology, founded in 2014 (formerly a Department of Computational Intelligence). Our team researches important data science, machine learning and general artificial intelligence problems involving unstructured data: in other words, images, texts, sounds, networks or signals.
What we do?
Our work connects to fields like linear algebra, distributed systems, deep learning, complex networks, and even neuroscience. Some of our ongoing projects include:
- intelligent data analysis,
- machine learning,
- computational linguistics,
- computational network science,
- machine vision,
- affective computing,
- medical diagnosis and decision support systems,
- computational problems solving,
- soft and heuristic calculation methods,
- evolutionary algorithms
Interested?
If you’re interested in joining our group, send an email with your interests and CV to kio@pwr.edu.pl
New M.Sc. AI programme
You are invited to join our new AI M.Sc. programme for B.Eng. graduates.
View more about the programme.
Featured Publications
UCSG-Net - Unsupervised Discovering of Constructive Solid Geometry Tree
Interacting Spreading Processes in Multilayer Networks: A Systematic Review
Recent Posts
Projects
Learning and inference methods for dynamic complex networks
National Science Centre - Sonata
Spread of influence in multilayer networks
National Science Centre - Sonata
Clarin project
European Research Infrastructure for Language Resources and Technology
scikit-multilearn
A Python library for performing multi-label classification compatible with the scikit-learn ecosystem.
Meet the Team
Faculty
Piotr Bródka
Associate Professor
Computational Network Science, Spreading Proceses in Complex Networks, Dynamic of Social Networks, Controll of Complex Networks, Multilayer Networks, Community Detection, Evolution and Prediction in Complex Networks
Tomasz Kajdanowicz
Associate Professor, head of faculty’s doctoral studies, head of department
Social Network and Media Analysis, Computational Linguistics, Networks and Relational Learning, Representation Learning, Bayesian Optimization, Bayesian Methods, Graphical Models
Maciej Zięba
Associate Professor
Deep learning, Generative models, representation learning, 3D point clouds, probabilistic models
Przemysław Kazienko
Full Professor
Machine Learning, Affective Computing, Emotion Recognition, Wearables, Personalization, Natural Language Processing, Social Media Analytics
Jan Kocoń
Assistant professor
natural language processing, deep language models, machine learning, artificial intelligence, cryptocurrencies
Urszula Markowska-Kaczmar
Associate Professor
Deep learning, Artificial life, Black box model interpretability
Radosław Michalski
Assistant Professor
Network science, Complex networks, Spreading processes, Blockchain, Machine learning, Temporal networks
Paweł Myszkowski
Assistant Professor
Evolutionary algorithms, Metaheuristics and heuristics, Discrete optimisation, Data mining
Maciej Piasecki
Associate Professor
Michał Przewoźniczek
Associate Professor
Evolutionary Computation, Problem decomposition, Linkage learning, Multi-objective optimization, Many-objective optimization, Hybridization, Practical implementations
Stanisław Saganowski
Assistant Professor
Emotion Recognition, Affective Computing, Wearable Technologies, Mobile Technologies, Social Network Analysis, Group Evolution Prediction
Jerzy Sas
Associate Professor
Piotr Szymański
Associate Professor
urban data science, spoken language understanding, natural language processing, representation learning
Martin Tabakow
Associate Professor
Artur Zawisza
PhD Student
PhD Students
Arkadiusz Janz
PhD Student
Machine Learning, Natural Language Processing, Semantic Networks, Representation Learning, Semantics
Łukasz Augustyniak
PhD Student
Sentiment Analysis, Information Extraction from Texts, Legal Text Analysis, Social Media Monitoring, ASR Transcriptions Analysis, Language Modeling, Recommendation Engines, IP Law
Piotr Bielak
PhD Student
representation learning, unsupervised graph embedding, large scale data processing
Maciej Dzieżyc
PhD Student
Deep learning, Emotion recognition, Physiological signals, Wearables, Scientometrics
Maciej Falkiewicz
PhD Student
Representation Learning, Deep Learning, Learning Algorithms and Theory, Bayesian Optimization, Probabilistic Inference
Kamil Kanclerz
PhD Student
Natural Language Processing, Machine Learning, GPU-based Deep Learning, Artificial Intelligence
Rajmund Klemiński
PhD Student
Scientometrics, Social Network and Media Analysis, Representation Learning
Marcin Komarnicki
PhD Student
Maciej Laszczyk
PhD Student
Wiktor Walentynowicz
PhD Student
Morphological Tagging, Sequence Tagging, Colloquial and Social Media Texts, Functional Programing
Artur Zawisza
PhD Student
Piotr Zieliński
PhD Student
deep learning, computer vision, representation learning, deep reinforcement learning
Project’s staff
Arkadiusz Janz
PhD Student
Machine Learning, Natural Language Processing, Semantic Networks, Representation Learning, Semantics
Łukasz Augustyniak
PhD Student
Sentiment Analysis, Information Extraction from Texts, Legal Text Analysis, Social Media Monitoring, ASR Transcriptions Analysis, Language Modeling, Recommendation Engines, IP Law
Maciej Dzieżyc
PhD Student
Deep learning, Emotion recognition, Physiological signals, Wearables, Scientometrics
Kamil Kanclerz
PhD Student
Natural Language Processing, Machine Learning, GPU-based Deep Learning, Artificial Intelligence
Wiktor Walentynowicz
PhD Student
Morphological Tagging, Sequence Tagging, Colloquial and Social Media Texts, Functional Programing
Contact
- +48 71 320 2454
- Wybrzeże Wyspiańskiego 27
50-370 Wrocław - Enter Building D2 and take the stairs to Office 201/6 on Floor 2
- @PWrAILab