Department of Artificial Intelligence

Department staff

In the Department of Artificial Intelligence the research is conducted in six groups working in the respective fields: discourse analysis, computational intelligence, intelligent learning support systems, computational linguistics, language modelling and natural phenomena modelling. The department staff is experienced in running scientific projects as well as research and development projects and cooperates with business entities in regard to the implementation of the scientific results in the industry. They teach young researchers in the areas related to artificial intelligence with the use of machine learning methods.

Scope of research:

  • Evaluation of the results of machine learning methods
  • Computational intelligence
  • Intelligent learning support systems
  • Language modelling
  • Processing of historical texts
  • Knowledge representation
  • Systems supporting the decision making process in terms of imprecise and incomplete information
  • Systems with linguistic competence
  • Machine translation
  • Semantic search engines

Scientific cooperation

Within joint projects the staff of the Department of Artificial Intelligence collaborate with the following research centres:

  • Military University of Technology in Warsaw
  • Institute of Computer Science Polish Academy of Science in Warsaw
  • Wroclaw University of Science and Technology
  • Silesian University of Technology in Gliwice

As part of interdisciplinary research, they cooperate with other Faculties of Adam Mickiewicz University:

  • Faculty of Modern Languages

Cooperation with business

Artificial intelligence, machine learning, man-machine communication, dialogue systems and machine translation are areas of high research and development (R&D) potential. Employees of the Artificial Intelligence Department are experienced in industrial research and experimental development in these fields. The solutions implemented in the industry include:

  • Intelligent systems to support medical diagnostics
  • Image processing and analysis (including the study of perceptual quality assessment of multimedia materials – quality assessments metrics)
  • Application of image recognition in recommendation systems
  • The use of intelligent systems in the assessment of industrial manufacturing processes (management of the industrial production process and assessment of manufacturing processes)
  • Computational methods in natural language processing
  • Machine translation
  • Intelligent tutoring systems
  • Semantic search engines

Cooperation with Samsung Electronics Ltd

The Department of Artificial Intelligence has been cooperating with the Samsung Electronics Ltd company in the field of natural language processing.

The collaboration was started with a 3-month pilot project called Machine Translation Modules which took place between 1.10.2012 and 28.02.2013. The aim of the project was to apply the tools developed at AMU in the research project “Publicly available tools for the automatic processing of the Polish language” in the development of new algorithms used in automatic translation, such as:

  • Bilingual corpora alignment at the sentence level
  • Bilingual corpora alignment at the word level
  • Generation of correctly constructed sentences from the token list returned by the statistical automatic translation system.

Since 2015 the cooperation between AMU and Samsung Electronics has been carried out in the form of annual projects called “Research in the field of Natural Language Processing 2015, 2016, 2017, 2018, 2019, 2020”. The projects, on the part of AMU, are conducted by the head of the Department of Artificial Intelligence,  Prof. Krzysztof Jassem, and are attended by other employees of the Department, AMU PhD and AMU MSc students.

The goal of the projects is to develop speech recognition algorithms for four European languages ​​(English, French, Spanish and German) and to construct speech understanding modules in these languages. Deep machine learning and finite-state methods are applied in the experiments. The solutions developed under the projects are implemented in Samsung mobile devices.

The Department of Artificial Intelligence organizes a department-wide Seminar of the Department of Artificial Intelligence. It is held on Tuesdays at 11:00 in room A0-13 (in the so-called Professors’ Club). It is organized by Patryk Żywica.

Apart from that particular research groups gather for their own seminars:

  • Seminar on Intelligent Learning Support Systems
    The seminar is held on Tuesdays at 9:00 B3-19,20. It is organized by Jacek Marciniak.
  • Seminar on Computational Intelligence
    The seminar is held on Tuesdays at 10:00. It is chaired by Maciej Wygralak.
  • Seminar on Natural Phenomena Modelling
    The seminar is held on Tuesdays at 12:30. It is chaired by Wojciech Pałubicki.

PhD theses

PhD theses are supervised within the Doctoral School of Adam Mickiewicz University and within the programme of implementation doctorates. Within the Doctoral School, the research is supervised by the department staff representatives and the topics are within the scope of their scientific interests. The implementation doctorates are supervised by the department staff representatives in cooperation with business entities carrying out research and development activities, such as Samsung Electronics, OLX or Applica.ai.

Master theses

The topics of master theses supervised by the department staff:

prof UAM dr hab. Krzysztof Dyczkowski

  • Intelligent decision-making systems (on the basis of uncertain data)
  • Data analysis in sport (football)

dr Filip Graliński

  • Language modelling for grammatical correction and machine translation
  • Text processing in diachronic dimension

prof. UAM dr hab. Krzysztof Jassem

  • Application of machine learning methods in natural language processing
  • Automatic translation
  • IT educational tools

prof. UAM dr hab. Jacek Marciniak

  • Intelligent tutoring systems (ITS)
  • Ontologies in knowledge modelling

dr Wojciech Pałubicki

  • Computer graphics
  • Mathematical modelling of biological/physical processes
  • Application of deep neural networks in agriculture and biology

dr Anna Stachowiak

prof. dr hab. Maciej Wygralak

  • Information imprecision and fuzzy sets
  • Rule-based systems
  • Methods of collective decision-making.

Courses conducted by the department staff within the engineering study programme and master study programme in computer science at the Faculty of Mathematics and Computer Science:

  • Object-oriented analysis and design
  • Financial arithmetic and portfolio analysis
  • Databases
  • Cloud computing with AWS
  • Data gathering and data mining
  • Software engineering
  • Laboratory of fuzzy systems
  • Laboratory of computer vision
  • Modelling and processing of imprecise information
  • Information modelling in economic decision-making models
  • Foundations of programming
  • Engineering project
  • Programming laboratory
  • Natural language processing
  • SQL in data analysis
  • Information systems
  • Intelligent systems
  • Operating systems
  • Artificial intelligence
  • Internet technologies
  • XML technologies
  • Development of information systems
  • Machine learning
  • Elements of databases
  • Management of informatics project

The Department of Artificial Intelligence started operating on January 1, 2020 as a result of a merger of three departments:

  • Department of Computer Linguistics and Artificial Intelligence
    The Department of Computer Linguistics and Artificial Intelligence was established in 1993 and was headed by Professor Zygmunt Vetulani.
  • Department of Imprecise Information Processing Methods
    The Department of Imprecise Information Processing Methods was separated in 2010 from the Department of Numerical Methods. It was headed by Professor Maciej Wygralak. The general research fields of the Department were intelligent systems and intelligent computing with special reference to information imprecision and incompleteness.
    Old department website
  • Department of Natural Language Processing
    The history of the department dates back to 2010 when the Department of Imprecise Information Processing Methods and the Information Systems Laboratory separated from the Department of Numerical Methods. Professor Krzysztof Jassem became the head of the Information Systems Laboratory. In 2017 the Information Systems Laboratory was transformed into the Department of Natural Language Processing.

    The research conducted in the Laboratory, and then in the Department, focused mainly on the fields of computer linguistics and natural language processing. In particular the research included parsing, machine translation (statistical, rule-based and example-based translation), machine learning, information retrieval and extraction (text mining, named entity recognition), question answering, lexicography, automatic creation of bilingual dictionaries, word alignment models, sentence segmentation, automatic spelling and grammatical correction.

There are the following research groups in the department:

  • Discourse Analysis
  • Computational Intelligence
  • Intelligent Tutoring Systems
  • Computational Linguistics
  • Language Modelling
  • Natural Phenomena Modelling

The group focuses on discourse modelling techniques and their application in dialogue systems and digital humanities research.

Group members:

Intelligent systems and intelligent computing with special reference to information imprecision and incompleteness.

Group members:

  • prof. dr hab. Maciej Wygralak – group leader
  • prof. UAM dr hab. Krzysztof Dyczkowski – group leader
  • dr Barbara Kołodziejczak
  • dr Tomasz Piłka
  • dr Joanna Siwek
  • dr Anna Stachowiak
  • dr Patryk Żywica

Intelligent tutoring systems (ITS) is a group of information systems which have been designed since the 1980s. Along with the development of research technologies, methods and tools as well as the needs of end users, systems of this kind have been designed in various architectures and in the different approaches. The group undertakes basic research as well as research and development activities in the field of intelligent tutoring systems with particular focus on the architecture of systems embedded in dynamically increasing repositories of educational content.

Group members:

  • prof. UAM dr hab. Jacek Marciniak – group leader
  • dr Andrzej Wójtowicz
  • dr Barbara Kołodziejczak
  • mgr inż. Marcin Szczepański

Group members:

  • prof. dr hab. Zygmunt Vetulani – group leader
  • prof. UAM dr hab. Jacek Marciniak
  • dr Tomasz Obrębski
  • mgr Marta Witkowska

Collaborators:

  • prof. dr hab. Janusz Taborek
  • dr Jolanta Bachan
  • dr Paweł Dybała
  • dr Irakli Kardava

The group studies neural language models, in particular with continuous dimensions such as time or 2D document structure. We apply language models to such tasks as natural language understanding, grammatical correction, machine translation, temporal classification. The Language Modelling group also pursues research on evaluation and meta-evaluation of language models and other NLP tasks.

Group members:

  • dr Filip Graliński – group leader
  • prof. UAM dr hab. Krzysztof Jassem
  • dr Rafał Jaworski
  • mgr Tomasz Dwojak
  • mgr Dawid Jurkiewicz
  • mgr Karol Kaczmarek
  • mgr Jakub Pokrywka
  • mgr Wojciech Włodarczyk
  • inż. Krzysztof Jurkiewicz

Group members:

  • dr Wojciech Pałubicki – lider grupy
  • dr Andrzej Wójtowicz
  • mgr Jacek Kałużny
  • mgr Andrzej Kokosza
  • mgr Miłosz Makowski

Collaborators:

  • dr Wojciech Kowalewski

Staff