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E. Isufi is a Professor at Delft University of Technology in the field of Multimedia Computing. He specializes in Graphs, Signals, Filters, and Neural Networks. His current research interests include Graph Machine Learning and Signal Processing. He has actively contributed to the academic community through various publications and teaching courses related to these subjects. Isufi is committed to advancing knowledge in the realm of machine learning with a focus on applications in multimedia systems. His work not only encompasses theoretical frameworks but also practical implementations, making significant impacts in both academic and industrial domains. With a proven track record of successful projects and collaborations, he aims to inspire the next generation of researchers and practitioners in the field.
Requirements apply generally across engineering and science master programs. Specific tracks like Architecture require a digital portfolio.