Marcin Kołodziej

Marin Kołodziej is an Associate Professor at the Institute of the Theory of Electrical Engineering, Measurement and Information Systems within the Faculty of Electrical Engineering at Warsaw University of Technology. His research program bridges biomedical engineering with artificial intelligence, focusing on practical applications in healthcare and human-computer interaction systems. He maintains an active laboratory presence in room GE 205 and leads the Biomedical Signal Processing and Analysis Team.

Research Focus

His primary research domains include:

• Biomedical signal processing with specialization in EEG analysis
• Machine learning applications for emotion recognition from speech and facial expressions
• Deep learning architectures (CNN, LSTM) for biomedical signal denoising
• Computer vision systems for agricultural and safety applications
• Brain-computer interface development and optimization
• Epileptic seizure detection using intracranial electroencephalography

Publication Trends

Analysis of his 15 most recent publications (2023-2025) reveals a dominant focus on hybrid deep learning approaches, particularly CNN-LSTM combinations for EEG artifact removal and emotion recognition. His work shows increasing interdisciplinary reach, with computer vision applications emerging in agricultural technology (seed detection) and driver safety systems (fatigue detection). The consistent thread through all publications is the application of advanced signal processing techniques to solve real-world biomedical challenges.

Academic Impact

Dr. Kołodziej maintains strong bibliometric indicators with an h-index of 14 (Scopus) and 11 (Web of Science), Total SNIP of 35.471, and Total CiteScore of 144.57. His 101 publications and 182 supervised theses reflect substantial scholarly output and mentorship impact. The Cumulative ministry score of 3,067 places him among the institution's highly productive researchers.

Academic Leadership

As leader of the Biomedical Signal Processing and Analysis Team, he directs research on advanced algorithms for biomedical applications. His 7 documented activities suggest engagement in academic service and collaborative projects, though specific grant details are not provided in source materials. His extensive thesis supervision (182 theses) demonstrates significant commitment to training the next generation of engineers and researchers.