Hasan Tercan has been a scientific research at the Institute for Technologies and Management of Digital Transformation at the University of Wuppertal, Germany, since December 2018. At the same time, he is the head of the Industrial Deep Learning research group. In his work, Mr. Tercan deals with the research, development and realization of machine learning and artificial intelligence methods in the industrial context. Central use cases are AI-based quality assurance in production and intelligent planning and control of manufacturing and assembly processes. Mr. Tercan received his PhD in 2023. In his dissertation entitled "Machine Learning-based Predictive Quality in Manufacturing Processes", he investigated the use of machine learning techniques for quality prediction in manufacturing. Two main research topics of the dissertation are the development of simulation-to-reality transfer learning approaches to use low-cost training data from manufacturing simulations, and continual learning methods to efficiently train artificial neural networks across changes in the manufacturing process. For his dissertation, Mr. Tercan was awarded the Ph.D. Prize of the Friends and Alumni Association of the University of Wuppertal (FABU).