Gdańsk University of Technology (Gdańsk Tech) is the largest technical university in Northern Poland, and is the second-best research university in Poland in the ‘Initiative of Excellence – Research University’ competition of the Ministry of Science and Higher Education.
Gdańsk Tech provides education across eight faculties in 37 fields of study and conducts research in 13 scientific disciplines. Gdańsk Tech has over 15000 active students and employs almost 1300 scientists (incl. 200 prof.). Every year Gdańsk Tech obtains financing for the realization of over 50 projects from national and international research programs. By May 2024, Gdańsk Tech has acquired 25 projects from the EU Framework Program HORIZON 2020, 11 projects from Horizon Europe and 5 from the Digital Europe Programme. The European Commission, in 2015, granted Gdańsk Tech the right to use the HR Excellence in Research logo as a symbol of quality, assuring the highest standards in research and employment.
The university actively collaborates with industry, resulting in joint research projects and industry-inspired diploma theses. In 2019, Gdańsk Tech participated in the “Initiative of Excellence – Research University” competition, achieving second place (the highest among technical universities) and earning the title of ‘Research University.’ As part of this initiative, four research centers were established: the BioTechMed Center, the EcoTech Center, the Digital Technologies Center, and the Advanced Materials Center. Also, Gdańsk Tech is one of the 8 Polish universities classified in the prestigious Academic Ranking of World Universities (ARWU), also known as the Shanghai Ranking. Gdańsk Tech also has CESAER Certificate, which confirms the quality of scientific excellence in engineering education and research and close cooperation with industry. In 2022, Gdańsk Tech joined the ENHANCE consortium of European technical universities, which brings together Europe’s leading technical universities.
Gdańsk Tech is also a member of the Fahrenheit Union of Universities (FarU), alongside the Medical University of Gdańsk and the University of Gdańsk. This collaboration focuses on optimizing resources and potential through joint research and development, strengthening cooperation, and positioning Pomerania as one of Poland’s leading academic hubs.
In 2023, Gdańsk Tech opened the Competence Center STOS (Smart and Transdisciplinary knOwledge Services) at a total cost of €52 million. The center specializes in advanced technologies, including Cloud Computing, the Internet of Things (IoT), Big Data, and Artificial Intelligence (AI).
Role of institution in the project
Gdańsk Tech will contribute to WP7 through the use case “CLEAR-AI”. The institution will develop collaborative learning-based deep neural networks for the classification and segmentation of breast lesions using high-resolution full-field digital mammography. Gdańsk Tech will also contribute to software development, including the creation of a dual-interface pre-prototype tool. This tool will feature a graphical user interface for intuitive use by clinicians and non-technical users, as well as a command-line interface for developers. This dual approach will ensure that the tool incorporated into the consortium’s repository can be utilised effectively in a multitude of scenarios by all consortium members.
Michał Grochowski graduated from the Faculty of Automatic Control and Robotics at Gdansk University of Technology (GdańskTech). In 2004 he received a Ph.D. degree and in 2020 the habilitation, both in the field of Automation, Electronics and Electrical Engineering. He is a professor and a Head of the Department of Intelligent Control and Decision Support Systems at GdańskTech and vice-chair of Digital Technologies Centre. He leads a team of scholars and PhD students from Department of Intelligent Control Systems and Decision Support at GdańskTech. He is an author of about 100 scientific papers, supervisor of seven PhD students and more than 100 engineering and master's theses. He has participated in many national and international grants funded by national agencies, 5 Framework Program, COST, DIGITAL EUROPE. AI and data analytics enthusiast. His current research focuses on the development of computational intelligence and machine learning methods and their reliable and trustworthy application in decision support systems, data analysis, fault detection and diagnostics, with a special attention to medicine. Within the EUCAIM he leads the project “CLEAR-AI: Enhancing High-Resolution Image Segmentation Precision through Collaborative Learning of Deep Neural Networks for Accurate Assessment of Axillary Lymph Node Metastasis based on Full-Field Digital Mammography Analysis”.
Rafał Buler is a PhD student at Gdańsk University of Technology, passionate about advancing the intersection of artificial intelligence and healthcare. His research focuses on developing an advanced framework for integrating diverse data types — images, radiomic features, clinical records, and text — into graph-based models to enhance predictive accuracy and interpretability in medical AI. With a strong background in machine learning and deep learning, he is particularly focused on establishing and refining strategies for effective graph representation learning, ensuring that the resulting models effectively capture complex patterns and dependencies within multimodal data. Rafał Buler is also an assistant in the Department of Intelligent Control and Decision Support Systems, at Faculty of Electrical and Control Engineering of the Gdańsk University of Technology.
Jakub Buler holds a BSc and MSc in Control Systems Engineering. Currently, he is an assistant in the Department of Intelligent Control and Decision Support Systems, at Faculty of Electrical and Control Engineering of the Gdańsk University of Technology, while pursuing his PhD at the cutting edge of explainable artificial intelligence and uncertainty quantification. Passionate about innovation, his work focuses on bridging artificial intelligence and medical applications, with a strong commitment to advancing the trustworthiness of artificial intelligence-based decision support systems to ensure safer and more reliable healthcare solutions.
Maria Ferlin received the B.Sc and M.Sc degrees in the field of Control Engineering and Robotics from Warsaw University of Technology (WUT), in 2018 and 2019, respectively. She is currently a PhD student at Gdańsk University of Technology in the field of medical applications utilizing machine-learning approaches. She is also an assistant in the Department of Intelligent Control and Decision Support Systems, at Faculty of Electrical and Control Engineering of the Gdańsk University of Technology. She leads the project Decision support system for small vessel disease diagnosis, leveraging the synergy of machine learning and radiomics under the PRELUDIUM grant funded by the National Science Centre of Poland. Her research focuses on the applicability of machine learning systems in terms of trustworthiness and interpretability. She also actively participates in non-profit projects aimed at popularising AI-related knowledge and using AI for good.