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Powerful AI and Data Privacy Should Not Contradict eachother
@InnovationFestival KA

I write about various topics in computer science and economics:

Machine Learning  Artificial Intelligence    Federated Machine Learning     Meta-Learning     AI Explainability    Distributed Systems  

Past Events &


In the past, I spoke at many national and international events, conferences and seminars in the area of Artificial Intelligence, IT Security, and Others.


2021 - Hirt, R.; Srivastava, Akash; Berg, C.; Kühl, N.

Sequential Transfer Machine Learning in Networks - Measuring the Impact of Data and Neural Net Similarity on Transferability.

Hawaii International Conference on Systems Sciences (HICSS-54), January 5-8


2021 - Kühl, N.; Hirt, R.; Baier, L.; Schmitz, B.; Satzger, G.

How to Conduct Rigorous Supervised Machine Learning in Information Systems Research - The Supervised Machine Learning Reportcard.

Communications of the Association for Information Systems


2020 - Peters, F.; Hirt, R.

A Transfer Machine Learning Matching Algorithm for Source and Target (TL-MAST)

Lecture Notes in Computer Science (LNCS).


2020 - Karb, T.; Kühl, N.; Hirt, R.; Glivici-Cotruță, V.

A network-based transfer learning approach to improve sales forecasting of new products

European Conference on Information Systems (ECIS) - Marrakech, Marocco, June 15 - 17


2020 - Walk, J.; Hirt, R.; Kühl, N.; Hersløv, E. R.

Half-empty or half-full? A Hybrid Approach to Predict Recycling Behavior of Consumers to Increase Reverse Vending Machine Uptime

Lecture Notes in Business Information Processing


2019 - Hirt, R.

Supervised machine learning in service systems - deriving insights from distributed data

Doctoral Dissertation


Cognitive computing for customer profiling - meta classification for gender prediction

2019 - Martin, D.; Hirt, R.; Kühl, N.

Service Systems, Smart Service Systems and Cyber-Physical Systems - What’s the difference? Towards a Unified Terminology

14. Internationale Tagung Wirtschaftsinformatik 2019 (WI 2019), Siegen, Germany, February 24-27


2019 - Kühl, N.; Goutier, M.; Hirt, R.; Satzger, G.

Machine Learning in Artificial Intelligence - Towards a Common Understanding

Hawaii International Conference on System Sciences (HICSS-52), Maui, Hawaii, January 8-11, 2019


2018 - Hirt, R.; Kühl, N.

Cognition in the Era of Smart Service Systems - Inter-organizational Analytics through Meta and Transfer Learning

Thirty-Ninth International Conference on Information Systems (ICIS), San Francisco, CA, USA, 13th-16th December 2018


2018 - Hirt, R.; Kühl, N.; Schmitz, B.; Satzger, G.

Towards Service-oriented Cognitive Analytics for Smart Service Systems

Hawaii International Conference on System Sciences (HICSS-51), Waikoloa Village, Hawaii, United States, 3rd - 6th January 2018


2017 - Hirt, R.

How to Cope With Incomplete Prediction Input? A Categorization of Techniques For Realizing Robust Analytics for Smart Service Systems

3rd Karlsruhe Service Summit Research Workshop, Karlsruhe, Germany, 21st - 22nd September 2017


2017 - Hirt, R.; Kühl, N.

Abbildung kognitiver Fähigkeiten mit Metamodellen

INFORMATIK 2017, 47. Jahrestagung der Gesellschaft für Informatik, Chemnitz, Deutschland, 25. - 29. September 2017. Hrsg.: Maximilian Eib, 2301–2307, Gesellschaft für Informatik e.V., Bonn.


2017 - Hirt, R.; Kühl, N.; Satzger, G.

An end-to-end process model for supervised machine learning classification: from problem to deployment in information systems

Designing the Digital Transformation, DESRIST 2017 Research in Progress Proceedings of the 12th International Conference on Design Science Research in Information Systems and Technology, Karlsruhe, Germany, 30th May - 1st June 2017. Ed.: A. Mädche, 55–63, KIT, Karlsruhe


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