Andreas Hotho

Professor Andreas Hotho leads the Data Science Chair at the University of Würzburg's Faculty of Mathematics and Computer Science, while serving as founding spokesman of the Center for Artificial Intelligence and Data Science (CAIDAS). His academic journey includes senior researcher roles at the University of Kassel and research positions at the AIFB Institute (University of Karlsruhe) and L3S Research Center (Hannover).

• Research Focus: Machine Learning, Large Language Models, Climate Modeling, Semantic Web, and Knowledge Graphs
• Methodologies: ConvMOS architecture, DenseLoss approach, LanZ-DML, and BibSonomy system
• Applications: Environmental monitoring, Digital Humanities, Smart Beehive Analysis, and Social Media Analytics

With over 15 recent publications, his work spans climate model output statistics, zero-shot metric learning, imbalanced regression techniques, and German language model development. He serves as editor-in-chief for the Transactions on Graph Data and Knowledge and maintains active roles in academic governance through PC memberships at ECML-PKDD, WWW, and other major conferences.

Scientific awards include:

• NAACL 2024 Best Paper Honorable Mention
• ICDM 2023 Best Paper Award
• NeurIPS 2020 Best ML Innovation Award
• ISWC 2018 SWSA Ten-Year Award
• WWW 2015 Best Paper Award
• FAIML 2020 Best Student Paper

His research group includes doctoral researchers like Jan Pfister, Julia Wunderle, and Albin Zehe. Key projects include LitBERT for literary analysis, BigData@Geo series for climate modeling, and BeeConnected for ecosystem monitoring.