Paweł Tarnowski

Paweł Tarnowski is a researcher at the Institute of the Theory of Electrical Engineering, Measurement and Information Systems, Faculty of Electrical Engineering, Warsaw University of Technology. His work focuses on biomedical signal processing, emotion recognition, and machine learning applications in affective computing and human-computer interaction.

Research areas include

• Information and Communication Technology (ICT)
• Electrical and Electronic Engineering
• Artificial Intelligence
• Neuroscience
• Human Factors

His recent publications highlight trends in emotion recognition using multimodal physiological signals (EEG, EOG, GSR), driver fatigue detection, and deep learning techniques like 1D-CNN for medical diagnostics. Articles also address urban traffic monitoring and neuromarketing research via EEG analysis.

At Warsaw University of Technology, he supervises thesis projects and contributes to interdisciplinary research in biomedical engineering and signal processing.

Labs/Teams: Institute of the Theory of Electrical Engineering, Measurement and Information Systems.