Machine learning applications

• Natanael Arndt

  Dr. Natanael Arndt studied Computer Science at the Leipzig University (BSc 2011, MSc 2013, Promotion 2020). His dissertation, entitled “Distributed Collaboration on Versioned Decentralized RDF Knowledge Bases,” was supervised by Prof. Dr. Thomas Riechert. He has gained international academic experience through various research projects and teaching activity. He has led and co-led third-party funded research and industry projects. His research interests are in the field of knowledge graphs, vocabulary engineering, collaborative data engineering, and distributed systems. Since 2021, he works as a Senior Linked Data Expert at eccenca GmbH, Leipzig.

  , Paul Molitor

  Prof. Dr. Paul Molitor studied Computer Science and Mathematics at the University of Saarbrücken (Diplom 1982, Promotion 1986, Habilitation 1992) under the supervision of Prof. Dr. Günter Hotz. From 1982 to 1993, he worked in the National Research Center 124 VLSI and Parallelism. He then followed an appointment at the Humboldt University of Berlin as professor for circuit technology. Since 1994 Paul Molitor has been a full professor for computer engineering at the Martin Luther University Halle-Wittenberg. His research interests include the development of algorithms and heuristics with a focus on circuit design, formal hardware verification, traveling salesman problem, and text comparison. He leaded a large number of third-party funded projects, in recent years with a focus on cooperation projects with the humanities, in particular the philologies. For more than 16 years he was editor-in-chief of it – Information Technology, founded in 1959, the oldest German journal in the field of information technology.

  and Ricardo Usbeck

  Prof. Dr. Ricardo Usbeck studied Computer Science at the Martin Luther University Halle-Wittenberg (BSc 2010, MSc 2012). In 2017, he completed his PhD at the University Leipzig under the supervision of Prof. Klaus-Peter Fähnrich – advised by Prof. Dr. Axel Ngonga and Prof. Dr. Andreas Both. Academic post-doctoral stays at the University Paderborn (2017–2019) and Fraunhofer IAIS (2019–2021) followed. From 2021 to 2023, he was an assistant professor with tenure track at the Hamburg University where he led the Semantic Systems research group. Since 2023 he has been a full professor of Information Systems, especially AI and Explainability at Leuphana University Lüneburg, Germany. His research interests range from knowledge graphs to large language models with a focus on sustainable, explainable, and robust AI methods. He leads several national research projects around supply chain resilience, inflation prediction, and research data management. Since 2022, he has been co-editor in chief of it – Information Technology, founded in 1959, the oldest German journal in the field of information technology.