Carlos Eduardo Rosar Kos Lassance

Carlos Eduardo Rosar Kos Lassance serves as a researcher at IMT Atlantique's BRAIn team, where he completed his PhD in artificial neural networks and efficient deep learning. After earning his engineering degree from PUC-Rio, where he worked as a teaching assistant for database courses, he pursued his masters in distributed communicating systems before focusing on neural network research. His doctoral work at IMT Atlantique contributed to the field of efficient deep learning architectures and neural network optimization, particularly in the areas of few-shot learning and network compression. His diverse background spans database systems, distributed computing, and artificial intelligence, combining theoretical understanding with practical applications in deep learning. As part of the Lab-STICC laboratory, his research aligns with the BRAIn team's focus on efficient representations in AI systems and geometry-aware deep learning approaches