Niels Pinkwart is a Professor at Humboldt University of Berlin within the Faculty of Mathematics and Natural Sciences and Institute of Computer Science, serving as Member of the Faculty Council. His research group focuses on Computer Science and Society and Computer Science Didactics, developing AI-driven educational solutions for diverse learning contexts including vocational training, language acquisition, and autism support. His research centers on human-centered AI in education, with emphasis on adaptive learning systems, creativity assessment in programming environments, and inclusive technologies. Recent work examines physical embodiment in educational robots, bias mitigation in assessment algorithms, and neural engagement patterns in VR learning for neurodiverse populations. He investigates how multimodal feedback systems and LLM integration can enhance language learning while maintaining pedagogical alignment. Current publications reveal a strong trend toward practical AI implementation in real-world educational settings, particularly in vocational contexts and global health education. His team develops deployable tools like the AI Campus 2.0 platform and Zirkus Empathico 2.0 game, with increasing focus on ethical AI deployment and cross-cultural applicability as evidenced by Nigeria-based healthcare studies. The research consistently bridges theoretical frameworks with classroom-ready applications. Professor Pinkwart supervises doctoral candidates including Heinrich Mellmann, Kerstin Wagner, Gregor Wrobel, and Michael Piechotta, with disputation dates scheduled through late 2025. His work receives funding through collaborative projects like the Verbundprojekt KI-Campus 2.0, where HU Berlin leads the platform development component. The research group maintains strong industry and international healthcare partnerships, particularly in digital transformation initiatives for resource-constrained environments. He directs development of specialized educational technologies including sound-driven robot quiz systems with fair responder detection and multimodal feedback, alongside serious games for social-emotional development in autism. Current lab activities focus on scaling bias-mitigated exam assembly tools for vocational education while expanding VR-based cognitive engagement metrics across neurodiverse populations.








