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Salvatore De Angelis is an Assistant Professor with expertise related to the United Nations Sustainable Development Goals. His work contributes to addressing global challenges, including poverty alleviation and environmental protection. He has undertaken various research projects in the field of physics-informed deep learning, focusing on automated analysis in energy materials. His research primarily targets innovative solutions such as all-inorganic composite solid electrolytes and solid-state batteries, which are essential for advancing battery technology. Additionally, De Angelis has been involved in projects aimed at magnetothermal energy harvesting from waste heat, emphasizing his commitment to sustainable energy solutions. He actively supervises PhD students and collaborates in research initiatives, demonstrating his role as a leader in his field. De Angelis has also participated in organizing conferences and presenting findings, contributing to academic discourse within the scientific community.
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.