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Evangelos Boukas is an Associate Professor at the Technical University of Denmark (DTU). His expertise lies in areas related to sustainable development goals as established by the United Nations. Boukas has collaborated on various research projects, particularly focusing on probabilistic deep learning and autonomous aerial robotics. His work has implications for inspection and control systems, especially in confined spaces. He currently supervises PhD candidates on topics that include aerial robots and semantic segmentation. Boukas's ongoing research interests also encompass visual multimodal perception in construction robotics. Over the past five years, he has been engaged in significant projects that address real-world challenges, using advanced machine learning techniques to enhance robotics in various applications including search and rescue operations. Boukas is prominently involved in research that combines academic rigor with practical applications, making substantial contributions to his field and fostering innovation in robotics technology.
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.