Research in the topic of information technology includes the following areas. 

Natural language processing based on text and image data (NLP, image processing) with a focus on document and data classification, semantic analysis, named entity recognition (NER), language models and multilingual processing.

Research in the field of biomedical informatics includes advanced modeling, signal, image and semi-structured data processing, neuroinformatics approaches using machine learning, specialized computational methods for physiological data analysis. It finds application, among others, in new methods of rehabilitation and develops optimized schemas and procedures for working with medical data and metadata.

Research in the field of visual informatics focuses on model optimization and algorithm development for large-scale spatio-temporal data, such as static and dynamic triangularized surface models and point clouds, with the aim of their efficient and correct representation and visualization.

The area of software engineering for reliable systems addresses the efficiency of automated verification methods in software development through the design of methods for generating realistic test data, as well as detecting the correctness of software processes using data mined from project management systems.

The CDS team is engaged in research of IT tools for applications of precise medicine, i.e. on development of methods and information systems design for clinician decision making. It focuses on modeling and simulation specifically targeted to the needs of biomedical researchers and physicians, as well as the design and development of a comprehensive solution for scalable systems supporting ad hoc analysis, reduction of genetic and genomic data, interpretation of results for the expert, in a clinically acceptable time.

LAPS specializes in developing advanced technologies for the modern energy sector, with a focus on innovative decision-support systems. These solutions facilitate the efficient use and secure integration of new technologies, market players, and operational entities into both technical processes and business transactions across energy networks.