Mathias Pelka

Mathias Pelka is a Professor at the Department of Electrical Engineering and Computer Science at Technische Hochschule Lübeck. His work focuses on intelligent automation technology, smart factory concepts, and Industry 4.0 applications.

• Education in Informatik (University of Lübeck), Applied Information Technology (Lübeck University of Applied Sciences), and Electrical Engineering (Milwaukee School of Engineering)

His research spans localization algorithms, LiDAR-based object detection, neural networks for robotics, and underwater optical distance estimation. Key technologies include sensor fusion, recursive Bayesian filters, and time-based ranging methods.

Recent publications highlight trends in autonomous vehicle sensing, indoor positioning systems, and unified location architecture frameworks. His work integrates machine learning, signal processing, and wireless communication for smart infrastructure solutions.

Prior roles include software development and Scrum Master positions at Drägerwerk AG & Co. KGaA (2020-2021), software engineering at Ibeo Automotive Systems GmbH (2018-2020), and research associate positions at TH Lübeck (2013-2018).