Mohammed Zoghian

Mohammed Zoghian is a Scientific Researcher and doctoral student at the Institute for Technologies and Management of Digital Transformation (TMDT) at the University of Wuppertal, where he has been working since August 2024. His research focuses on reinforcement learning applications for optimizing production processes and integrating robotics into civil engineering contexts.

Research Interests: His work spans Machine Learning, Deep Learning, Reinforcement Learning, Computer Vision, and Explainable AI. He is particularly interested in the implementation of neural networks on FPGA hardware and real-world deployment of AI-driven robotic systems in industrial and construction environments.

The recent publications highlight a strong focus on robotics in civil engineering, particularly on application domains and implementation models. The research trend emphasizes practical integration of autonomous systems into construction workflows, indicating a blend of AI innovation with engineering pragmatism.

Scientific Awards:

Advising and Grants: No information is available regarding students advised or grants received. However, his collaborative publications suggest active engagement in interdisciplinary research teams.

Labs and Teams: He is affiliated with the Institute for Technologies and Management of Digital Transformation (TMDT) at the University of Wuppertal, a research unit focused on digital innovation in industrial and societal systems. His prior experience includes working at RWTH Aachen University in robotics and machine learning for civil engineering applications.