Benjamin Winter

Dr. Benjamin Winter is a Researcher at the Department of Computer Science at Beuth University of Applied Sciences Berlin. He holds a PhD in Computer Science (2025) and a Master's in Media Informatics (2018) from the same institution. His research focuses on Reinforcement Learning, Imitation Learning, and Natural Language Processing, particularly in healthcare applications and transformer models. He contributed to the FashionBrain project analyzing European fashion through Big Data techniques and co-developed KIMERA and VisBERT tools for transformer analysis.

Key research interests include autonomous driving, healthcare NLP, and domain adaptation of language models. His work spans from foundational research in transformer networks to applied projects in clinical decision-making and media bias analysis.

Dr. Winter has published extensively on transformer architectures, including layer-wise analyses and visualization techniques. His work on reinforcement learning in competitive scenarios, such as StarCraft strategies, demonstrated early success in AI surpassing human experts.