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Daniel Haugård Olesen is an Associate Professor leading the GNSS research group within the Division of Geodesy and Earth Observation at the Technical University of Denmark. His research focuses on various aspects of GNSS including detection and mitigation of GNSS interference such as jamming and spoofing, understanding space-weather effects on GNSS signals, and developing precise positioning methods like Real-Time Kinematic (RTK) and Precise Point Positioning (PPP). His work also encompasses GNSS signal processing and the fusion of GNSS sensors to enhance the reliability of robotics and drones. Olesen's research demonstrates a commitment to addressing the United Nations Sustainable Development Goals by leveraging GNSS technology for environmental and societal benefits. He actively supervises PhD students and participates in multiple collaborative projects involving unmanned aerial systems and relative positioning techniques for UAVs.
This requirement applies generally across Technical University of Denmark (DTU) MSc programs including Computer Science, Applied Mathematics, and Engineering disciplines. Specific prerequisites vary by department/curriculum.