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Yuxuan Zhang is a PhD student at the Technical University of Denmark (DTU). His research focuses on the effective characterization of nanoscale airborne particles, utilizing advanced techniques such as Deep Learning segmentation methods and Transmission Kikuchi Diffraction. Through his academic activities, he has been involved in several projects and has contributed to conference presentations, showcasing his work on semiconductor imaging and the enhancement prediction of spot diffraction patterns. His collaborative efforts span various aspects of materials science and electron imaging, reflecting his commitment to advancing knowledge in these technical fields.
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.