معرفی
Prof. Dr. Bernd Ludwig is a faculty member at the Institute for Information and Media, Language and Culture (I:IMSK) within the Faculty of Languages, Literature and Cultural Studies at the University of Regensburg. He has held the Professorship for Information Linguistics since August 2011, following a visiting role in the summer semester of that year. His academic journey began at Friedrich-Alexander-Universität Erlangen-Nürnberg, where he earned his PhD in 2004 and completed his habilitation in 2010.
His research spans the interdisciplinary domains of natural language processing, human-computer interaction, and artificial intelligence, with a focus on spoken dialogue systems, user modeling, and context-aware assistive technologies. He leads projects like URWalking and ROSE, contributing to advancements in indoor navigation and intelligent mobile assistance.
His recent publications reflect a diverse portfolio, combining AI and NLP with health informatics, social media analysis, and industrial applications. Trends show a growing emphasis on large language models, health recommendation systems, and the societal impact of AI.
Scientific Awards:
- Zeitschrift für Medizinische Physik (ZMP) Autorenpreis 2022
- AMiner Most Influential Scholar Award 2018
- Nomination for Best Paper Award at MUM 2016
- Nomination for Best Paper Award at KI 2010
- SEW-EURODRIVE-Stiftung Studienpreis for Diploma Thesis (1997)
Advising and Grants: Prof. Ludwig has supervised multiple doctoral candidates to completion, including Dr. Karema Al Subari and Dr. Robert Jackermeier, and currently mentors PhD students. He has secured research funding, notably a BMBF grant for the OPTAPEB project (2018–2021), and contributes to academic service as co-editor of Künstliche Intelligenz and organizer of major conferences such as CHIIR 2022 and COSIT 2019.
Labs and Teams: He is a core member of the research team at the University of Regensburg, collaborating closely with Prof. Udo Kruschwitz, Prof. David Elsweiler, and others. His workgroup focuses on intelligent user interfaces, multimodal interaction, and practical applications of AI in everyday contexts.
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