Anders Bjorholm Dahl  

Professor, DTU Compute

Email: abda@dtu.dk

About Anders Bjorholm Dahl: Anders Bjorholm Dahl is a professor specializing in 3D image analysis and serves as the Head of the Section for Visual Computing at DTU Compute, Technical University of Denmark. His academic journey began with an industrial PhD at Dralle A/S, focusing on computer vision applications for the forest industry, completed in 2009. Since then, he has been an integral part of DTU, leading the Section for Visual Computing since 2015. In 2018, he was appointed Professor with special obligations in 3D image analysis, and in 2022, he advanced to a full professorship in the field. He leads QIM: The Center for Quantification of Imaging Data from MAX IV, which fosters research in 3D imaging through quantitative analysis from facilities like MAX IV, ESS, and DTU's 3D Imaging Center. The center's activities include research collaboration, software development, and advancing tools for 3D image analysis, reinforcing his role as a pivotal figure in the advancement of visual computing and imaging science.

DTU Compute

DTU Compute combines deep theoretical research with practical applications to tackle complex problems through modeling, calculations, and simulations. The department focuses on key areas such as big data, artificial intelligence (AI), the Internet of Things (IoT), smart and secure societies, smart manufacturing, and life sciences.

With 10 specialized research sections, DTU Compute drives innovation in fields like AI, machine learning, and theoretical computer science. Cognitive Systems explores human-machine interaction, while Cybersecurity Engineering ensures secure digital systems. Dynamical Systems focuses on optimizing processes such as energy and aerodynamics, and Embedded Systems addresses computing infrastructure from smartphones to the cloud. The Mathematics section builds theoretical foundations for scientific advancements, while Scientific Computing applies these principles to solve real-world challenges. Software Systems develops reliable and ethical software, Statistics and Data Analysis supports fields like genomics and bioinformatics, and Visual Computing advances technologies in image analysis, 3D modeling, and computer vision.