Prof. Dr. Tobias Knuth

Short Profile

Prof. Dr Tobias Knuth researches the application of data mining and artificial intelligence at the intersection of computer science, statistics, economics and society.

After studying economics, he completed his doctoral degree between 2014 and 2018 through the HSBA’s collaborative doctoral programme at Edinburgh Napier University in Scotland, focusing on how machine learning methods can be used for fraud prevention in online retail. He has presented his research findings at international conferences in the USA, the UK and the Netherlands. In 2018, Dr Knuth received the Dr Heinz Sebiger Prize from the DATEV Stiftung Zukunft for his doctoral thesis, an award given for outstanding theses in the field of IT security and digitalisation. 

Following a research year at HSBA in the field of artificial intelligence, funded by the Claussen-Simon Foundation, the expert in business informatics took up his first professorship at FOM University and has since also worked independently as a data scientist, consultant and software developer; he has been a professor at Lübeck University of Applied Sciences since 2024.

Lectures

  • Quantitative research methods
  • Statistics and algorithms

Areas of Research

  • PhD topic: Machine learning for fraud prevention in e-commerce mail order business
  • Post-Doc: Artificial Intelligence in (Online) Marketing and E-Business
  • Data Science
  • Machine Learning
  • Cloud Data Engineering
  • Visualisation of data and concepts

Publications

Journal articles (peer-reviewed)

Knuth, Tobias, and Dennis C. Ahrholdt. 2022. "Consumer Fraud Online Shopping: Detecting Risk Indicators through Data Mining." International Journal Electronic Commerce 26 (3): 388-411. https://doi.org/10.1080/10864415.2022.2076199.

link to Publication

Conference presentations

Knuth, Tobias, and Dennis Ahrholdt. 2017. "E-Commerce Mailorder Fraud: Feature Analysis of B2C Transaction Data." Presented at 39th ISMS Marketing Science Conference, Los Angeles, USA.

Knuth, Tobias, and Dennis Ahrholdt. 2017. "How to Detect Fraud - Evaluation of B2C E-Commerce Transaction Data." Presented at EMAC Conference, University of Groningen, Netherlands.