Study Artificial Intelligence @ WrUST

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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.

Recent Posts

Projects

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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

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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

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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

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Maciej Zięba

Associate Professor

Deep learning, Generative models, representation learning, 3D point clouds, probabilistic models

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Przemysław Kazienko

Full Professor

Machine Learning, Affective Computing, Emotion Recognition, Wearables, Personalization, Natural Language Processing, Social Media Analytics

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Jan Kocoń

Assistant professor

natural language processing, deep language models, machine learning, artificial intelligence, cryptocurrencies

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Halina Kwaśnicka

Full Professor

Evolutionary Algorithms, Machine Learning, Object Cluster Hierarchy

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Urszula Markowska-Kaczmar

Associate Professor

Deep learning, Artificial life, Black box model interpretability

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Radosław Michalski

Assistant Professor

Network science, Complex networks, Spreading processes, Blockchain, Machine learning, Temporal networks

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Paweł Myszkowski

Assistant Professor

Evolutionary algorithms, Metaheuristics and heuristics, Discrete optimisation, Data mining

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Maciej Piasecki

Associate Professor

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Michał Przewoźniczek

Associate Professor

Evolutionary Computation, Problem decomposition, Linkage learning, Multi-objective optimization, Many-objective optimization, Hybridization, Practical implementations

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Stanisław Saganowski

Assistant Professor

Emotion Recognition, Affective Computing, Wearable Technologies, Mobile Technologies, Social Network Analysis, Group Evolution Prediction

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Jerzy Sas

Associate Professor

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Piotr Szymański

Associate Professor

urban data science, spoken language understanding, natural language processing, representation learning

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Martin Tabakow

Associate Professor

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Artur Zawisza

PhD Student

PhD Students

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Arkadiusz Janz

PhD Student

Machine Learning, Natural Language Processing, Semantic Networks, Representation Learning, Semantics

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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

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Roman Bartusiak

PhD Student

distributed processing, software architecture, NLP

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Piotr Bielak

PhD Student

representation learning, unsupervised graph embedding, large scale data processing

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Maciej Dzieżyc

PhD Student

Deep learning, Emotion recognition, Physiological signals, Wearables, Scientometrics

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Maciej Falkiewicz

PhD Student

Representation Learning, Deep Learning, Learning Algorithms and Theory, Bayesian Optimization, Probabilistic Inference

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Jan Jakubik

PhD Student

Deep learnning, Audio analysis, Generative media

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Kamil Kanclerz

PhD Student

Natural Language Processing, Machine Learning, GPU-based Deep Learning, Artificial Intelligence

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Michał Karol

PhD Student

Digital Pathology, Applied Machine Learning, Image Processing

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Rajmund Klemiński

PhD Student

Scientometrics, Social Network and Media Analysis, Representation Learning

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Maciej Laszczyk

PhD Student

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Mateusz Nurek

PhD Student

Network Science, Social Networks Analysis, Machine Learning

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Bartosz Perz

PhD Student

Affective Computing, Machine Learning, Physiological signals

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Krzysztof Rajda

PhD Student

Social Media Analysis, Computational Linguistics

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Kamil Tagowski

PhD Student

Representation Learning, Deep Learning, Natural Language Processing

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Wiktor Walentynowicz

PhD Student

Morphological Tagging, Sequence Tagging, Colloquial and Social Media Texts, Functional Programing

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Artur Zawisza

PhD Student

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Piotr Zieliński

PhD Student

deep learning, computer vision, representation learning, deep reinforcement learning

Project’s staff

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Arkadiusz Janz

PhD Student

Machine Learning, Natural Language Processing, Semantic Networks, Representation Learning, Semantics

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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

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Roman Bartusiak

PhD Student

distributed processing, software architecture, NLP

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Maciej Dzieżyc

PhD Student

Deep learning, Emotion recognition, Physiological signals, Wearables, Scientometrics

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Jan Jakubik

PhD Student

Deep learnning, Audio analysis, Generative media

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Kamil Kanclerz

PhD Student

Natural Language Processing, Machine Learning, GPU-based Deep Learning, Artificial Intelligence

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Kamil Tagowski

PhD Student

Representation Learning, Deep Learning, Natural Language Processing

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Wiktor Walentynowicz

PhD Student

Morphological Tagging, Sequence Tagging, Colloquial and Social Media Texts, Functional Programing

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Marcin Wątroba

Project’s staff

Social Media Analysis, Natural Language processing, Deep Learning

Recent Publications

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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