معرفی
Professor Henrik Leopold is a Professor for Data Science and Business Intelligence and Head of Department of Operations and Technology at Kühne Logistics University (KLU) in Hamburg, Germany. He joined KLU in February 2019 and has held progressive academic positions there, advancing from Assistant Professor (2018-2020) to Associate Professor (2020-2023) and ultimately to full Professor (since 2023). Prior to KLU, he served as Assistant Professor at Vrije Universiteit Amsterdam (2015-2019) and Vienna University of Economics and Business (2014-2015).
Henrik Leopold received his PhD (Dr. rer. pol.) in Information Systems from Humboldt University of Berlin in 2013, where he also completed his M.Sc. (2010) and B.Sc. (2008) in Information Systems. His doctoral work earned him the prestigious TARGION Dissertation Award 2014 for the best doctoral thesis in Information Management and recognition as runner-up for the McKinsey Business Technology Award 2013.
Leopold's research primarily focuses on the intersection of information systems and business processes, with particular emphasis on leveraging artificial intelligence technologies—including machine learning and natural language processing—to develop innovative techniques for process analysis, mining, and automation. His work bridges theoretical advancements with practical applications across various industries, particularly in logistics and healthcare. He has published over 100 peer-reviewed articles in top-tier journals such as IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Software Engineering, ACM Transactions on Management Information Systems, Decision Support Systems, and Information Systems.
His recent research demonstrates a clear trajectory toward increasingly sophisticated applications of AI in business process management, with growing emphasis on semantic analysis, explainability, and the integration of large language models. This evolution reflects both technological advancements in AI and the growing complexity of business process challenges in the digital era.
Among his notable achievements are the TARGION Dissertation Award 2014 and being named runner-up for the McKinsey Business Technology Award 2013. His research has secured significant funding and has been implemented in practical settings through collaborations with industry partners.
As an academic leader, Leopold has supervised numerous PhD and Master's students, contributing to the next generation of researchers in business process management and data science. He actively participates in major research projects focused on automated process weakness identification and semantic process discovery from user interaction logs. His leadership extends to heading the Department of Operations and Technology at KLU, where he shapes academic programs and research directions.
Leopold maintains an active presence in the academic community through his personal website (www.henrikleopold.com), Google Scholar profile, and DBLP page, making his research widely accessible to scholars and practitioners worldwide.
