Martin Thoft Jensen

Martin Thoft Jensen serves as a Lecturer in the Department of Computer Science at the University of Copenhagen, affiliated with the Image Analysis, Computational Modelling, and Geometry section within the SCIENCE AI Centre. His work bridges theoretical research and practical applications in computational sciences.

His research focuses on Learning Analytics, Machine Learning, and Computer Vision, with emphasis on developing open platforms for Multimodal Learning Analytics (MMLA) to enhance educational data interpretation. This intersects Educational Technology through AI-driven solutions for real-world learning environments.

Recent contributions include designing the open-source mBox platform for multimodal data analysis in educational settings, presented at LAK24. This work demonstrates trends toward accessible, user-centered analytics tools leveraging computer vision and machine learning for pedagogical innovation.

No scientific awards are documented in available sources.

Student advisement and grant activities are not referenced in institutional materials, suggesting primary focus on teaching and platform development rather than supervised research or funded projects.

Based in DIKU's Image Analysis section, Jensen utilizes departmental resources including high-performance compute clusters and specialized labs supporting computer vision research, geometric modeling, and AI applications for scientific and societal challenges.