Tobias Meisen

Prof. Dr.-Ing. Tobias Meisen is Professor of Technologies and Management of Digital Transformation at the University of Wuppertal, where he leads cutting-edge research in industrial artificial intelligence and digital transformation. He serves as spokesperson of the Interdisciplinary Center for Machine Learning and Data Analytics (IZMD) and chairs the board of SIKoM, a research institute focused on information, communication, and media technologies. He is also a member of the scientific advisory board of the Center for Advanced Internet Studies (CAIS) and contributes as an expert to the parliamentary commission on Artificial Intelligence in North Rhine-Westphalia.

Research Interests: His work centers on developing robust, adaptive AI systems for industrial applications, particularly in environments with distributed, heterogeneous, or incomplete data. Key areas include Deep and Machine Learning, Deep Reinforcement Learning, Explainable and Transparent AI, and Knowledge Graphs for semantic interoperability. He emphasizes human-machine collaboration and trustworthy AI in industrial contexts.

Recent Research Trends: His 2025 publications reveal a strong focus on transformer and recurrent architectures for motion prediction and radar-based perception in autonomous systems, AI-driven industrial process optimization using GANs, and novel applications of decision transformers in combinatorial optimization. His interdisciplinary work spans AI, manufacturing, sustainability, and data modeling.

Scientific Awards:

• Best Paper Award
• Young Researcher Award (Germany's Excellence Initiative)

Advising and Grants: Prof. Meisen actively mentors researchers, as evidenced by his co-authorship with numerous junior researchers. He leads and participates in national and international R&D projects with both academic and industry partners, securing funding for initiatives at the intersection of AI, digital transformation, and industrial engineering.

Labs and Teams: He leads the Interdisciplinary Center for Machine Learning and Data Analytics (IZMD) and chairs the board of SIKoM, fostering collaborative research in AI, data analytics, and information systems. These platforms support interdisciplinary projects bridging computer science, engineering, and social sciences.