Bjørn Sand Jensen

Bjørn Sand Jensen is an Associate Professor in the Department of Applied Mathematics and Computer Science (Cognitive Systems section) at the Technical University of Denmark (DTU), with research contributing to UN Sustainable Development Goals through interdisciplinary machine learning applications. His work bridges computer science, engineering, and biomedical domains with 21 publications to date.

His research specializes in machine learning methodologies including active learning, preference learning, and Gaussian processes, applied to cognitive systems development. Key focus areas involve modeling cognitive aspects in information processing, predictive performance optimization, and mobile sensor applications. Current projects emphasize real-world implementations in hearing aid technology and biomedical imaging.

Recent publications demonstrate a strong trend toward interdisciplinary deep learning integration, combining state-space models (Mamba) for audio processing and Gaussian processes for biomechanical analysis. This reflects his commitment to solving complex problems in neural processing systems and single-cell image reconstruction through novel statistical-computational hybrids.

Advising:

• PhD student K. F. Olsen on "Towards Real-time Neural Processing in Hearing Aids" (2023-2026)

Research Projects:

• Active: "Towards Real-time Neural Processing in Hearing Aids" (2023-2026)
• Completed: "Active learning in cognitive information processing systems" (2009-2013)

Dr. Jensen collaborates across biomedical engineering and signal processing domains, particularly within DTU's Cognitive Systems research group, focusing on neural processing applications for hearing assistance and cognitive information systems development.