Chair
Software Engineering for Business Information Systems

TUM School of Computation, Information and Technology

Contact Details
Business card in TUMonline

_{Academic Career and Research Areas}

Since 2002 Florian Matthes holds the chair for Software Engineering for Business Information Systems at Technische Universität München.

He explores natural language processing in medical, legal and enterprise applications, privacy-enhancing technologies for digital platforms and blockchain-based systems engineering.

He is co-founder of CoreMedia AG (1996), infoAsset AG (1999), Tr8cy UK Ltd (2018), Blockchain Bayern e.V. (2019), and silverr AI GmbH (2024), and core member of the Munich Data Science Institute (2025).

As and initiator and organizer of international conferences and workshops in software and enterprise engineering he fosters the dialog between practitioners and scientists.

His academic career started at J.W. Goethe University in Frankfurt (graduated 1988). He did his doctorate at the University of Hamburg in 1992. He worked as a researcher at Digital Equipment Systems’ research center in Palo Alto (1992-93) and served as professor at TU Hamburg-Harburg from 1997 to 2002.

Until 2010, he was Dean of Studies at the Faculty of Computer Science and a member of the teaching board of TUM. Since 2020 he is venture ambassador of the TUM Venture Labs.

• curriculum vitae
• Courses

_{Key Publications ( all publications )}

Vladika J, Schneider P, Matthes F. “HealthFC: Verifying Health Claims with Evidence-Based Medical Fact-Checking”. In: Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), Torino, Italia . 2024; 8095-8107.Abstract

Schneider P, Afzal A, Vladika J, Braun D, ​​Matthes F. “Investigating Conversational Search Behavior for Domain Exploration.” In: Advances in Information Retrieval (ECIR 2023) . Lecture Notes in Computer Science, vol 13981. Springer, Cham. 2023; 608-616. Abstract

Munilla Garrido G, Sedlmeir J, Uludağ Ö, Soto Alaoui I, Luckow A, Matthes F. “Revealing the Landscape of Privacy-Enhancing Technologies in the Context of Data Markets for the IoT: A Systematic Literature Review”. Journal of Network and Computer Application . 2022; Volume 207 Article 103465. Abstract

Brunner C, Gallersdörfer U, Knirsch F, Engel D, Matthes F. 2021. “DID and VC: Untangling Decentralized Identifiers and Verifiable Credentials for the Web of Trust”. In: 3rd International Conference on Blockchain Technology and Applications (ICBTA '20) . New York, NY, USA. 2021; 61-66. Abstract

Elnaggar A, Gibendorfer C, Glaser I, Matthes F. “Multi-Task Deep Learning for Legal Document Translation, Summarization and Multi-Label Classification”. In: Artificial Intelligence and Cloud Computing Conference (AICCC '18) . New York, NY, USA. 2018; 9-15. Abstract