Karol Daliga

Karol Daliga serves as an Assistant Professor in the Department of Geodesy within the Faculty of Civil and Environmental Engineering at Gdańsk University of Technology. His academic position is based in the HYDRO building at room 109H, where he conducts research at the intersection of geodetic measurement techniques and environmental monitoring systems.

His research interests focus on environmental impact monitoring of railway infrastructure, with particular expertise in noise and vibration measurement systems. Daliga has pioneered work on Industrial Internet of Things (IIoT) sensor networks for railway environmental monitoring, exploring cost-effective measurement solutions including the use of affordable audio recorders for spectral noise analysis. His research bridges traditional geodetic measurement techniques with modern environmental engineering applications.

The publication trends reveal a clear specialization in railway environmental monitoring systems, with multiple 2023-2025 papers describing integrated approaches for measuring and analyzing railway noise and vibrations. His work demonstrates a progression from traditional geodetic measurement techniques (as seen in his 2019 chimney measurement paper) toward sophisticated sensor network systems for environmental impact assessment.

Daliga is actively involved in the InfraNoise research project under the BRIK program (agreement BRIK2/0020/2022-00), which began October 27, 2022. This project, led by Dr. hab. inż. Piotr Chrostowski, aims to develop a precise monitoring system for railway traffic's environmental impact, integrating operational, technical, and environmental data. The project is realized through the Department of Transportation Engineering at Gdańsk University of Technology.

His laboratory and team work appears centered around the development and implementation of integrated monitoring systems for railway infrastructure, collaborating with researchers across multiple disciplines including electrical engineering, environmental science, and transportation engineering. The research group employs advanced sensor technologies and data processing methods to address environmental challenges posed by railway transportation.