Mohammed Zoghian, M.Sc.
Scientific Researcher
Area of Research:
- Machine learning and deep Learning
- Reinforcement Learning
- Computer Vision
- Explainable AI
Biography
Mohammed Zoghian has been working as a research assistant and doctoral student at the Institute for Technologies and Management of Digital Transformation at the University of Wuppertal since August 2024.
Mr. Zoghian studied electrical engineering and worked on the training of neural networks using reinforcement learning and subsequent implementation on an FPGA as part of his master's thesis at RWTH Aachen University. After completing his studies, Mr. Zoghian worked in industry in the areas of development and consulting. He then worked as a research assistant at RWTH Aachen University in the fields of robotics and machine learning in civil engineering.
At TMDT, Mr. Zoghian focuses on the use of reinforcement learning to optimize production processes.
