The Department conducts research in the discipline of Technical Informatics and Telecommunications. The basic research conducted includes four main streams.

The first strand is:

• reliability and safety of computer systems and networks - functional-reliability models, measures, evaluation, computer tools - original scientific school Theory of System Dependability, methods for modelling the impact of preventive repairs on the service life of technical (power) systems, methods for optimising repair policies for technical (power) systems,
• modelling and simulation of complex technical systems, primarily computer systems and networks and discrete transport systems (e.g. computer networks or transport systems),
• image recognition, including acoustic images, using neural network apparatus and statistical methods (research for national defence),
• data mining and bioinformatics, in particular, microarray research for genetics (methods for feature selection from high-dimensional data, methods for building classifiers from very high-dimensional data, methods for the analysis of expression microarray data / RT-PCR / CGH, methods for the analysis of signal pathways),
• computer graphics and image processing, particularly in forensic applications (methods of recognising writing from geometrical features, methods of recognising inks from spectral information),
• programmable digital circuits,
• e-learning and computer-assisted learning systems,
• automation of industrial processes.

Strand two includes:

• computer architecture,
• embedded systems,
• programmable digital circuits,
• Internet of Things,
• distributed processing,
• data mining and bioinformatics.

The third group of research interests includes:

• modelling and design of information systems with service-oriented architecture,
• issues of software design, implementation, testing and quality assessment,
• problems of modelling and standardisation of geospatial data and services and construction of spatial information infrastructure,
• data mining,
• systems safety and reliability engineering,
• modelling, analysis and synthesis, and performance evaluation of dynamic systems and cyclic processes,
• distributed information systems using multi-agent techniques,
• biomolecular calculations.

The fourth research strand is:

• machine learning methods,
• theory and applications of artificial neural networks (including deep neural networks),
• analysis of multidimensional data and data streams,
• analysis of images and video sequences.

The Department has extensive and active cooperation with companies and enterprises. It maintains long-term research, implementation and teaching cooperation with many companies, including Siemens, KGHM, Copper Smelter "Cedynia", Procom System, Nokia, Dolby, MT-Silesia, Thaumatec, IBM, VIESSMANN, VOLVO IT, Toyota Motor Manufacturing Poland, Neurosoft, Teleste, Synaptise, Polish Post.

The department also has active international collaborations resulting in joint publications and grant implementation, which include:

• Canada - University of Manitoba, Concordia University,
• USA - University of Arizona Tucson,
• Sweden - KTH Royal Institute of Technology Stockholm,
• Spain - Universidad de Las Palmas de Gran Canaria, Universidad de Malaga, Universidad de Almeria,
• France - Laboratoire Interfaces Capteurs & Microelectronique, Universite de Lorraine Metz,
• Belgium - University of Antwerp,
• Hungary - Obuda University,
• Australia - University of Technology Sydney,
• Latvia - Transport and Telecommunication Institute Riga,
• Austria - University of Applied Science Upper Austria.

The department has also been active in interdisciplinary research for many years. Our partners include SGGW Warsaw, the Medical University of Wrocaw, Laboratory of Cancer Genetics in Poznan.

Since 2006, the Department has organised an annual International Conference: International Conference on Dependability of Computer Systems DepCoS-RELCOMEX.