Projects and Research

Projects and Research

The current Development Strategy of the IT Department envisions further increase in scientific-research activity as one of the main development priorities. Based on successes of category A department in the process of parameterization of scientific units in 2013, achieved until now, the implementation of the strategy for further development in this field is continuously being improved. Research on the highest level, cooperation with the industry and effective funding of research projects is a given in the activities of all academic faculty that teaches IT courses.

A general description of the main research fields, thematically divided, is presented below.

A more detailed description of the areas, with separation into particular topics, is provided in the attachment “Szczegółowe omówienie kierunków badań” (Detailed discussion of research areas).

Field I. Software Engineering and Databases

Research in this field has been part of the school’s portfolio for more than 15 years. The achievements of the school’s faculty in this field, in the form of publications presenting research results, active participation in international conferences devoted to this area as well as the number of highly specialized graduates of graduate studies, are very significant contributors to the global development in this sector of IT.

The scope of only selected research-scientific works is:

  1. Optimizing object-oriented query languages,
  2. Transaction processing in work processes,
  3. Developing and implementing concepts of indexing heterogeneous and distributed data sets,
  4. Java language extension of query language properties,
  5. Extension of the ODRA system prototype to a declarative workflow,
  6. Extension of workflows type systems and tasks performed by so-called crowd-sourcing.

Field II. Methods of artificial intelligence and its applications

Research in the field of artificial intelligence belongs to Polish specialties on a global scale. The constant interest as well as great achievements of the school’s faculty in this field is summarized in the following list of selected scientific topics:

  1. Rule-based decision-supporting systems with the use of ordered fuzzy numbers and meta sets,
  2. Automatic extraction of keywords from web documents,
  3. Use of knowledge in this field and TRSM (Tolerance Rough Set Model) for semantic documents search.

Field III. Research in parallel and network algorithms programming

Algorithms called parallel. Experience shows that these are more difficult to implement that traditional sequential ones, because concurrency allows for additional chances of different types of error. This field thrives continuously in the world, and the work carried out in the academy in areas mentioned below, are significant for its development.

  1. Development of social networks using WebServices technology,
  2. Development of distributed platform and the P2P mediation later,
  3. Design and analysis of the reputation system for the authors of Wikipedia,
  4. Software detection algorithms for anomalies and intruders,
  5. Energy-saving protocols and algorithms for managing sensor networks.

Field IV. Multimedia

Research in the area of image, sound processing and recognition, and its synthesis as well as 3D animation is an important section of the department’s activities. Selected topics include:

  1. Building a model of the Polish language,
  2. Labeling audio files based on music content,
  3. Identification of component sounds in a multitimbral environment,
  4. Identification of musical instruments in polyphonic recordings,
  5. Color and light in an image, use of GPU-based raytracing and CUDA parallel computational architecture techniques for fast photo-realistic stereoscopic rendering.

Field V. Programming Languages

Programing languages are fundamentals of IT; that said; new applications often require continuous work in this field. Research topics of the academy concern:

  1. Analysis, building and application of new environments and programming techniques.
  2. Analysis of the possibility to build and applications of area-oriented programming language (DSL) in creating applications of type “business mashup”.

Field VI. E-learning

The need for development of electronic teaching methods and systematic expansion of Edu, existing in the academy, requires the development of effective teaching methods and control of educational processes as well as students’ progress in acquiring knowledge. These needs are source of inspirations in these considerations.

  1. Creating dynamic learning paths using COLT theory,
  2. Study of the influences of audiovisual elements, used in e-learning resources, on the quality of processes in e-courses.

Field VII. Social Informatics

Social Informatics (also Social Computing or Web Science) is a new field in IT, which deals with the realization of social goals and application of social concepts in information systems, as well as analysis pf social phenomena based on data from virtual communities. The topics have been studied in the academy since 2009 and include:

  1. Research on trust management of network users,
  2. Reputation models for design and improvement of recommendation systems as well as auctions on the Internet and other e-commerce systems,
  3. Research on supporting the assessment credibility of sources on WWW.

Field VIII. Acquisition of movement, emotions, facial expressions

The following areas in research are carried out in Research and Development Center in Bytom. Research in the analysis of human movement as well as acquisition of movement are the focus of attention of many centers around the world. And so are interdisciplinary works in IT and Psychology regarding the applicability of computer vision methods in the field of emotion recognition on the bases of micro face expression.

Selected research topics:

  1. Multimodal acquisition of human movement in Vicon system,
  2. Analysis of micro expression in the context of revealing human emotions,
  3. Identification of the behavior of individuals and detecting dangerous situations,
  4. Reconstruction of the 3D scene on the basis of video sequence.

Field IX. Intelligent Algorithms and Behavioral Robotics

Main research topics are:

  1. Behavioral robotics for planning and navigation of mobile robots,
  2. Knowledge engineering.

Field X. Distribited Computing

Development of distributed computing methology with new synchronization and communication patterns in programs is a significant sector of research work. New software and algorithmic methods, which will allow better use of potential in modern multicore processors, are needed for the constantly evolving hardware base of computer systems. Main research topics are:

  1. New methods of structuring distributed programs,
  2. New synchronization paradigm in programs.

Presented research fields indicate a wide spectrum of research interest of the Department’s faculty. Many of the concentration areas of research works require, aside from dedicated members, an advanced technological hardware and software.


The Academy Administration seeks to eliminate all kinds of equipment shortages in order to ensure equal chances for the faculty of the Department in competing with other units. Hardware resources are often purchased as part of equipment for the implementation of research projects as well as the less specialized ones, financed by subsidies for maintaining the research base and by school’s own resources.

Below is only a list of research labs; the detailed description of the equipment of the unit’s research base, including specialized equipment and laboratories, is provided in the attachment “Szczegółowy opis wyposażenia w sprzęt informatyczny” (Detailed description of IT equipment).


Server lab and Laboratory of Mobile Devices Network


Laboratory of Multimedia and Image Processing Techniques, Laboratory of Sound Production, Laboratory of Sound Engineering, Laboratory of Animation and 3D Graphics, and Computer Game Programming Laboratory.


E-learning Lab and Database Lab.


Parallel Computing Laboratory.


Behavioral Robotics Laboratory.


The laboratories in the Research and Development Center of PJATK in Bytom are an essential element of the equipment of the Faculty. These are:

  • Multi-Spectral Imaging Laboratory;
  • Multimodal Movement Laboratory;
  • Micro Expression Lab;
  • Motion Detection Laboratory;
  • Computer Facial Modeling Laboratory;
  • Laboratory of Dynamics and Multimodal Interactivity.

In years 2010-2014 the academy received from the Ministry of Science and Higher Education, as part of subsidies, PLN 3 574 939 for financing basic statutory activities, financing of own research and the development of young researchers. Under PJATK's Rector’s decision, the Office for Development Projects of the academy was established, which initiates, supports and appraises projects implemented at PJATK. The sources of financing above mentioned projects are primarily national public funds of NCiBR, NCN, OPI and MNiSW as well as European public funds (mainly from the ESF). In addition, support is provided by Norwegian, Swiss and EEA funds and other external sources. The research projects were indicated in the attachment "Wykaz realizowanych projektów badawczych” (List of the research projects that are being carried out), and the academy was given 36 348 795 PLN for their implementation.

Research has a very positive effect on the learning process. Students can participate in research by writing thesis in the research topic conducted by a promoter. This helps to shape a student's interest, which can then be continued in doctoral degrees. Students participate in research seminars, present papers at conferences. Funds raised through research projects of our faculty significantly influence the education process and increase the qualifications of academic teachers. There are several aspects to worth mentioning:

1. Opportunity to work on modern equipment and software purchased under the project;

2. Financing modifications of courses according to current trends, in cooperation with experienced methodology;

3. Funding of refresher courses and introduction of supplementary courses to the program of study, which allow the student to get a better start on the labor market and compensatory courses preparing for studies;

4. Organizing courses and trainings for academic teachers with modern learning methods in: project oriented learning, rapid learning, modular learning, action learning;

5. Opportunity to participate in self-presentation workshops in which skills in effective communication with students, mobilizing and motivating the audience, absorbing attention, dealing with difficult listeners are developed;

6. Study visits in international research centers for academic teachers, during which they familiarize themselves with modern methods of interdisciplinary education in the area of ​​combining informatics with other fields of science.