معرفی
Nils Breyer is an Assistant Professor at Linköping University's Department of Science and Technology (ITN), part of the Communications and Transport Systems faculty. His research focuses on leveraging big data analytics to enhance public transport and railway systems through methods like machine learning and statistical analysis. Key interests include privacy-preserving travel pattern analysis, traffic information optimization, and large-scale data processing.
Teaching responsibilities include courses on optimization, traffic planning, programming, statistical learning, and public transport systems. He actively supervises bachelor's and master's theses while contributing to educational program development. Current research involves radar sensor data, GPS tracking, and mobile network data to improve traffic flow and passenger experience.
His work emphasizes practical applications such as post-disruption travel behavior analysis using smart card data and cellular network-based inter-city trip classification. Collaboration areas include transport analytics, logistics, and communication systems with societal impact through improved transport infrastructure planning.
