معرفی
Dr. Robin Schiewer is a researcher at the Institute of Neuroinformatics (INI), part of the Ruhr-Universität Bochum. His work focuses on understanding neural systems and applying biological insights to artificial cognitive systems.
Research Interests: Robin specializes in Machine Learning, Reinforcement Learning, and Neural Networks, with a particular emphasis on hierarchical world models, latent representation prediction, and catastrophic interference in multi-task learning. His research bridges computational neuroscience and AI.
Teaching: He has taught courses such as Introduction to Python and Machine Learning: Unsupervised Methods across multiple semesters (2019–2023) in both lab and seminar formats.
Publications: Recent articles highlight his contributions to physical reasoning benchmarks, Hebbian learning frameworks, and modular reinforcement learning architectures.
Labs & Teams: Robin collaborates with the INI’s interdisciplinary team, integrating insights from experimental psychology, neurophysiology, and robotics into his AI research.
