The research conducted in our team cover intelligent methods of decision support in various fields, with a special attention on medicine. Our research areas focus on deep neural networks, in particular we aim at developing methods of explainable AI (XAI) to help to avoid the effects of bias in the dataset on predictions, to extract new knowledge from datasets, and to make models more interpretable for system designers as well as end-users. Moreover, we work on methods on neural architecture search, to optimize the deep neural structures to fit best the structure to features of the given dataset and on data augmentation, especially by using neural style transfer. 
We have many years of experience in employing deep learning methods to analyse and diagnose skin lesions for melanoma. We have also conducted research on the analysis of the fundus of the eye in order to detect and estimate the stage of diabetic retinopathy. Another issue we analysed with the help of deep neural networks was the detection of breast cancer based on mammography.
In recent years, we have focused our research on explainable AI methods and their use in the classification process to develop more trustworthy decisions.
Currently, we focus on making more robust and less noise-sensitive local, decomposition-based methods that allow building visual attention maps. Moreover, we use local explanations to create unbiased global summarized explanations of a whole model. Another branch of our research is an attempt to develop networks with trainable visual attention.

The list of our team publications can be found here:
https://scholar.google.pl/citations?hl=pl&user=UTA55L8AAAAJ&view_op=list_works&sortby=pubdate

The Institution:
Our research team conduct the research within the Department of Electrical Engineering, Control Systems and Informatics; Faculty of Electrical and Control Engineering of Gdańsk University of Technology.
The Gdansk University of Technology  is one of the oldest and top-ranked Polish Universities. It has nine faculties and with 41 fields of study and more than 18 thousand undergraduate, as well as about 626 doctoral students. It employs 2768 people, including 1313 academic teachers. Gdańsk University of Technology is the best technical university and the second University within the ‘Excellence Initiative - Research University’ program implemented by the Ministry of Science and Higher Education.
More information can be found here: https://pg.edu.pl/en

Department of Electrical Engineering, Control Systems and Informatics; Faculty of Electrical and Control Engineering of Gdańsk University of Technology. The Department conducts research within the areas of advanced methods of decision support optimization and control as well as diagnostics in various fields, including: nuclear power plants, medicine, wastewater treatment systems, drinking water distribution systems, ferromagnetic objects in magnetic fields and many more.
More information can be found here: https://eia.pg.edu.pl/en