Postdoctoral researcher

Dr. Wolfgang Kratsch

Post-Doc
Mail  wolfgang.kratsch@fim-rc.de
Phone  +49 821 480400 40
Room Alter Postweg 101
Augsburg

Dr. Wolfgang Kratsch is co-head of the Business Process Management department at the reserach center Finance & Information Management (FIM) and at the business information systems branch of the Fraunhofer Institute for Applied Information Technology (FIT). He is also co-founder and co-head of the Center for Process Intelligence and post-doctoral researcher in Business Process Management at the Faculty of Law and Economics at the University of Bayreuth.

In research, teaching and practice, Mr. Kratsch deals with topics related to data-driven process management, such as the extraction, quality assurance and exploitation of relevant data sources, the application of artificial intelligence (AI) methods to use this data for context-sensitive process management, and the management of AI applications. From a methodological point of view, the focus is on design-oriented research (Design Science Research), resulting in prototypical implementations that can be taken up by future research, but also by immediate practical applications. In addition to numerous relevant publications, Mr. Kratsch is also involved in the scientific community as a reviewer for various journals and conferences.

Furthermore, Mr. Kratsch was and is involved in several different research and industry projects in the above research fields. In close cooperation with industrial partners, he thus contributes to applying the latest research findings to practice. He is also actively involved in the local start-up scene, contributing his own start-up experience. In teaching, he already gained extensive experience in the context of tutorials, lectures and seminars at the universities of Augsburg and Bayreuth.

Mr. Kratsch graduated from the University of Augsburg in 2017 with a B.Sc. and M.Sc. in Business Information Systems. After completing his doctorate at the University of Bayreuth on the topic of data-driven management of process networks (summa cum laude) in 2020, Mr. Kratsch founded the AI-spin-off credium GmbH, where he was responsible for topics related to data science & AI and built up a 15-person team with his co-founders. After a parallel side job as a postdoctoral researcher, Mr. Kratsch has been fully dedicated to science again since September 2022.

The Biggest Business Process Management Problems to Solve Before We Die
in: Computers in Industry, 2023
Beerepoot, Iris
Di Ciccio, Claudio
Reijers, Hajo A.
Rinderle-Ma, Stefanie
Bandara, Wasana
Burattin, Andrea
Calvanese, Diego
Chen, Tianwa
Cohen, Izack
Depaire, Benoît
Di Federico, Gemma
Dumas, Marlon
van Dun, Christopher
Fehrer, Tobias
Fischer, Dominik Andreas
Gal, Avigdor
Indulska, Marta
Isahagian, Vatche
Klinkmüller, Christopher
Kratsch, Wolfgang
Leopold, Henrik
Van Looy, Amy
Lopez, Hugo
Lukumbuzya, Sanja
Mendling, Jan
Meyers, Lara
Moder, Linda
Montali, Marco
Muthusamy, Vinod
Reichert, Manfred
Rizk, Yara
Rosemann, Michael
Röglinger, Maximilian
Sadiq, Shazia
Seiger, Ronny
Slaats, Tijs
Simkus, Mantas
Someh, Ida Asadi
Weber, Barbara
Weber, Ingo
Weske, Mathias
Zerbato, Francesca
Shedding Light on Blind Spots : Developing a Reference Architecture to Leverage Video Data for Process Mining
in: Decision Support Systems, 2022
Kratsch, Wolfgang
König, Fabian
Röglinger, Maximilian
ProcessGAN : Supporting the creation of business process improvement ideas through generative machine learning
in: Decision Support Systems, 2022
van Dun, Christopher
Moder, Linda
Kratsch, Wolfgang
Röglinger, Maximilian
Automated Process (Re-)Design
in: CEUR Workshop Proceedings, 2021
Röglinger, Maximilian
van Dun, Christopher
Fehrer, Tobias
Fischer, Dominik Andreas
Moder, Linda
Kratsch, Wolfgang
Data-driven Management of Interconnected Business Processes : Contributions to Predictive and Prescriptive Process Mining
2021
Kratsch, Wolfgang
Event Log Construction from Customer Service Conversations Using Natural Language Inference
in: Proceedings of the 3rd International Conference on Process Mining (ICPM), Piscataway, USA, 2021
Kecht, Christoph
Egger, Andreas
Kratsch, Wolfgang
Röglinger, Maximilian
How RAPS Spiced Up the German Butcher's Trade : Introduction of Digital Services to a Non-Digital Industry
in: Urbach, Nils: Digitalization Cases. Vol. 2, Springer, Cham, 2021
Glismann, Karsten
Jöhnk, Jan
Kratsch, Wolfgang
Nüske, Niclas
Schmied, Fabian
Machine Learning in Business Process Monitoring : A Comparison of Deep Learning and Classical Approaches Used for Outcome Prediction
in: Business & Information Systems Engineering, 2021
Kratsch, Wolfgang
Manderscheid, Jonas
Röglinger, Maximilian
Seyfried, Johannes
Amaryllis : A User-Centric Information System for Automated Privacy Policy Analysis
in: Proceedings of the 28th European Conference on Information Systems (ECIS), Marrakech, Morocco, 2020
Dombetzki, Luca
Kecht, Christoph
Kratsch, Wolfgang
Rau, Daniel
Bot Log Mining : Using Logs from Robotic Process Automation for Process Mining
in: Proceedings of the 39th International Conference on Conceptual Modeling (ER), Vienna, Austria, 2020
Egger, Andreas
ter Hofstede, Arthur H. M.
Kratsch, Wolfgang
Leemans, Sander J. J.
Röglinger, Maximilian
Wynn, Moe T.
Customers Like It Hot and Fast : Incorporating Customer Effects into the Meal Delivery Process
in: Proceedings of the 28th European Conference on Information Systems (ECIS), Marrakech, Morocco, 2020
van Dun, Christopher
Fehrer, Tobias
Kratsch, Wolfgang
Wolf, Nicholas
Quality-Informed Semi-Automated Event Log Generation for Process Mining
in: Decision Support Systems, 2020
Andrews, Robert
van Dun, Christopher
Wynn, Moe T.
Kratsch, Wolfgang
Röglinger, Maximilian
ter Hofstede, Arthur H. M.
Treiberbasierte Simulation im Controlling bei Infineon
in: Controlling, 2020
Federmann, Frank
Häckel, Björn
Isbruch, Felix
Kratsch, Wolfgang
Möller, Klaus
Voit, Christian
Wunderlich, Philipp
Process Meets Project Prioritization : A Decision Model for Developing Process Improvement Roadmaps
in: Proceedings of the 27th European Conference on Information Systems (ECIS), Uppsala, Sweden, 2019
Bitomsky, Laura
Huhn, Johannes
Kratsch, Wolfgang
Röglinger, Maximilian
Data-driven Process Prioritization in Process Networks
in: Decision Support Systems, 2017
Kratsch, Wolfgang
Manderscheid, Jonas
Reißner, Daniel
Röglinger, Maximilian