Research in the field of Data Analytics and Artificial Intelligence:

At the University of Warmia and Mazury in Olsztyn, the Faculty of Mathematics and Computer Science is a leading centre of innovation in the field of data analytics and artificial intelligence. Our specialist research group, which includes recognised experts, dedicates its work to developing advanced technologies and methods that transform the way we analyse and interpret data.

Our focus is on pioneering the use of artificial intelligence to analyse data, enabling us to discover new patterns, predict trends and make decisions based on robust data. Our research and projects cover a wide range of applications, from modelling ecological interaction networks and sensor-based detection of agricultural diseases, to elastodynamics of structured media and securing digital communications. We apply these skills to push the limits of decision-making complexity in information sciences.

We have in-depth knowledge and skills in: Advanced data analytics, using artificial intelligence to understand medical, economic and other data. Building and implementing machine learning models for employee loyalty analysis, classification and forecasting. Using statistical techniques and multivariate data analysis, including PCA, SVM, granular computing methods and various clustering methods, to extract knowledge from large data sets. Applications of neural networks, including rough fuzzy networks, hypercomplex neural networks in decision-making and control processes.

UWM's Department of Mathematics and Computer Science is a place where the theory of data analysis and artificial intelligence is transformed into practical solutions, driving innovation and development in various fields.

Our staff are involved in a number of research topics in the area of computer science, including approximation algorithms and their relationship to integral system theory, applied computer science, mobile robot navigation, image reconstruction, sequence alignment, logic under uncertain conditions.