Daniel Langenkämper

Dr. Daniel Langenkämper is a researcher at the University of Bielefeld, affiliated with the Faculty of Engineering and the Center for Biotechnology (CeBiTec). He serves as a key member of the Biodata Mining Group, where he develops and applies advanced computational methods for marine biological data analysis. His office is located at UHG V10-107 with contact number +49 521 106-3678.

Langenkämper's research focuses on the intersection of computer science and marine biology, with particular expertise in:

• Computer vision applications for marine ecosystem monitoring
• Deep learning approaches for diatom and coral classification
• Biodata mining from complex marine imagery
• Digital platform development for environmental monitoring systems
• Multi-sensor data analysis for marine infrastructure assessment

His publication record shows consistent output through 2025, with recent work emphasizing expert-computer vision integration for coral status exploration and self-supervised learning techniques for diatom classification. The research demonstrates strong interdisciplinary collaboration across computer science, marine biology, and engineering disciplines, addressing critical challenges in marine environmental monitoring and infrastructure maintenance. His work contributes significantly to both theoretical advancements in image analysis and practical applications for marine conservation and industrial monitoring.

Langenkämper actively participates in marine imaging workshops and contributes to the development of standardized image datasets for marine research. His work with the Biodata Mining Group at CeBiTec supports multiple research initiatives focused on transforming visual data into actionable ecological insights, particularly for deep-sea coral ecosystems and marine infrastructure maintenance.