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Martina Vittorietti is a prominent academic at Delft University of Technology (TU Delft) specializing in Time Series Modeling and Machine Learning. With a robust background in engineering education, she has actively engaged in interdisciplinary research aimed at enhancing educational practices through technology. Martina is committed to exploring AI-augmented engineering strategies to better prepare students for the challenges of modern engineering disciplines. Her research interests also include the application of statistical methods to real-world problems, driving innovations in educational methodologies within engineering faculties. Over the years, Martina has been involved in various projects aimed at the integration of advanced analytics into the learning experience, resulting in improved educational outcomes for her students. She continues to mentor emerging researchers in the field and contributes significantly to the academic community at TU Delft through her work and collaborations.
Delft University of Technology • Delft, Netherlands
Teaching and researching in the field of engineering education and machine learning.
Requirements apply generally across engineering and science master programs. Specific tracks like Architecture require a digital portfolio.