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Aleksandr Razumov is a postdoctoral researcher specializing in Machine Learning for Photonic Systems at the Technical University of Denmark. His research focuses on the application of advanced machine learning techniques to enhance the performance and capabilities of photonic systems. Razumov has collaborated on various projects, including the Subspace Tracking Phase Noise Characterization of Optical Frequency Combs. With experience in supervising PhD students and collaborating with experts in the field, he strives to contribute to significant advancements in photonic technologies. His work reflects a commitment to innovation and research excellence in the realm of machine learning applications.
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.