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Andreas Aakerberg is a researcher at Aalborg University specializing in Deep Learning and its applications in image and video enhancement, forensics, surveillance, and computational photography. His work contributes to the exploration of generative AI and its role in advancing these fields. Aakerberg has been actively involved in various research projects, focusing on benchmarking datasets such as Spatially Variant Super-Resolution (SVSR) and creating low-light image super-resolution datasets. With contributions spanning multiple years, his research has aimed at providing innovative solutions and insights that align with UN Sustainable Development Goals. Aakerberg's teaching areas include Deep Learning, MLOps, Image Processing, and Computer Vision, reflecting his extensive expertise in the intersection of technology and sustainable development. He has an established academic presence with numerous publications across multiple years, showcasing a commitment to advancing knowledge in the realm of computer science and its practical applications.
Requirements apply generally to Master's programs across departments including Sociology, Business, and Engineering at Aalborg University.