Tobias Meisen is a Professor at the Institute for Technologies and Management of Digital Transformation (TMDT) at the University of Wuppertal since September 2018. He is also chair of the Interdisciplinary Center for Data Analytics and Machine Learning (IZMD).In his daily work, Tobias Meisen is dedicated to digital transformation, especially modern information management in a networked, digital world. The focus of his research is the conceptual design, development and implementation of autonomous technical systems with a focus on deep learning and machine learning. In his second research area, he is dedicated to the collection and integration of digital data with a special focus on the evolutionary construction and management of Knowledge Graphs.Tobias Meisen studied computer science with a specialization in data mining, as well as data exploration and management, and holds a PhD in engineering. From October 2015 to August 2018, Tobias Meisen was a junior professor at RWTH Aachen University. Tobias Meisen is co-author and author of more than one hundred scientific publications and regularly serves as a reviewer for various conferences and journals. In recent years, he and his team have successfully supported a large number of research and development projects with partners from research and industry.
Dr. André Pomp is a Research Group Leader from the Institute for Technologies and Management of Digital Transformation, University of Wuppertal. He studied computer science with a minor in business administration at RWTH Aachen University. His areas of specialization during his studies were distributed systems, communication technologies, IT security, and data mining. From January 2015 to August 2019, he was a research assistant and PhD student at the Cybernetics Lab IMA & IfU at RWTH Aachen University. There, he took over the leadership of the Cognitive Computing & eHealth research group in April 2018. In June 2020, he received his PhD from the RWTH Aachen University. His research focuses on semantic data integration based on flexible and extensible knowledge graphs, data analysis and machine learning, large language models and the construction of modern software architectures in various domains.
