Urszula Markowska-Kaczmar

Prof. Urszula Markowska-Kaczmar is a distinguished academic at the Faculty of Information and Communication Technology, Wroclaw University of Science and Technology, where she has been active since 1988. Her research focuses on deep learning, neural networks, and computational intelligence, with applications in computer vision, medical diagnostics, and natural language processing.

• Current role: Full Professor in Department of Artificial Intelligence
• Key collaboration: Organized Poland's first deep learning workshop DArViN2015 with speakers like Ruslan Salakhutdinov
• Editorial work: Guest editor for Applied Artificial Intelligence (2014) and managing editor for International Journal of Computational Intelligence Research (2007-2008)

Her research explores neural network interpretability through evolutionary algorithms, semi-supervised learning frameworks, and multi-modal data analysis. She pioneered deep learning applications in Poland and maintains active involvement in international conferences like IEEE IJCNN and ACIIDS.

The 15 most recent publications reveal trends in medical imaging analysis (2025), generative adversarial networks (2022), style transfer (2021), and foundational neural architecture comparisons (2015). Her work balances theoretical advancements in learning algorithms with real-world implementations in healthcare and document analysis.

Key grants include:

• Framework for Visual Information Retrieval (2008-2011)
• Adaptive Problem-Solving System (POIG.01.01.02-14-013/09-00, 2010-2013)
• ENGINE European Research Centre (2013-2015)

She supervises PhD and master's students in neural network implementations and maintains active program committee memberships for conferences like IEEE IJCNN and ICPRAM. Her lab focuses on deep learning for healthcare and intelligent document systems.