Mark Wönkhaus

Mark Wönkhaus 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 affiliated since June 2023. He holds a Master of Science in Computer Science with a focus on Data Analytics from the same institution.

His research focuses on time series forecasting, machine learning, deep learning, and explainable AI. These interests are both formally stated and reflected in his academic work, including his master's thesis on predicting user purchase intent in online stores. His work bridges theoretical models with practical applications in data-driven decision-making.

While no publications or scientific awards are listed in the provided text, his ongoing doctoral research suggests active contribution to the field of digital transformation and data analytics. He is likely engaged in collaborative research projects under TMDT, contributing to applied and methodological advancements in AI and data science.

Mark Wönkhaus advises no students at this time, and no grant funding details are mentioned. However, his trajectory as a doctoral researcher implies involvement in funded research initiatives related to digital transformation. He works at TMDT, which serves as his primary research unit, integrating technology and management perspectives in digital innovation.