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Bastien Giraud is a PhD student associated with the Technical University of Denmark. His research primarily focuses on Trustworthy Machine Learning, specifically in the area of Neural Network Verification within Power Systems. He has contributed to various publications, including work on security assessment frameworks and dynamic datasets. His work involves analyzing service usage and generating insights through comprehensive report generation. Giraud actively engages with projects aimed at enhancing the reliability and security of machine learning applications in critical infrastructure. With a background that supports his research interests, Giraud is at the forefront of developing innovative solutions that address modern challenges in technology.
Technical University of Denmark • Kgs. Lyngby, Denmark
Engaged in research and projects focusing on machine learning and power systems, contributing to findings related to security and reliability.
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.