Doctoral Candidate
Dr. Wolfgang Kratsch
Doctoral Candidate
wolfgang.kratsch@fim-rc.de
+49 821 598 – 4862
Bldg. I1 Room 1210
University of Augsburg
Wolfgang Kratsch completed his Abitur at the Wildermuth-Gymnasium in Tübingen, Germany in 2011. After that, he started his academic education with an undergraduate degree in Business Information Systems at the University of Augsburg, Germany, which he completed in 2014. He then received his graduate degree in Computer Science and Information-oriented Business Management in 2017 from the University of Augsburg. Parallel to his studies, Wolfgang Kratsch gained practical experience as Software Developer at NovaTec, intern Business-IT Consulting at Senacor and IT representative at DAIKA e.V. Furthermore, in 2014 he started to work as research assistant at the Research Center Finance & Information Management. Since July 2017 he has been a Doctoral Candidate at the Research Center FIM.
In his research, Wolfgang Kratsch deals with topics in data-driven business process management as well as the application of artificial intelligence for predictive data analytics.
Event Log Construction from Customer Service Conversations Using Natural Language Inferencepresented at: 3rd International Conference on Process Mining, Eindhoven, Niederlande, 2021 | Kecht, ChristophEgger, AndreasKratsch, WolfgangRöglinger, Maximilian | |
Automated Process (Re-)Designin: CEUR Workshop Proceedings, 2021 | Röglinger, Maximilianvan Dun, ChristopherFehrer, TobiasFischer, Dominik AndreasModer, LindaKratsch, Wolfgang | |
Data-driven Management of Interconnected Business Processes : Contributions to Predictive and Prescriptive Process Mining2021 | Kratsch, Wolfgang | |
How RAPS Spiced Up the German Butcher’s Trade : Introduction of Digital Services to a Non-Digital Industryin: Urbach, Nils: Digitalization Cases 2, Springer International Publishing, Cham, 2021 | Glismann, KarstenJöhnk, JanKratsch, WolfgangNüske, NiclasSchmied, Fabian | |
Bot Log Mining : Using Logs from Robotic Process Automation for Process Miningpresented at: 39th International Conference on Conceptual Modeling - ER 2020, Online, Vienna, Austria, 2020 | Egger, Andreaster Hofstede, Arthur H. M.Kratsch, WolfgangLeemans, Sander J. J.Röglinger, MaximilianWynn, Moe T. | |
Customers Like It Hot and Fast : Incorporating Customer Effects into the Meal Delivery Processpresented at: 28th European Conference on Information Systems (ECIS), Marrakesh, Marocco, 2020 | van Dun, ChristopherFehrer, TobiasKratsch, WolfgangWolf, Nicholas | |
Amaryllis : A User-Centric Information System for Automated Privacy Policy Analysisin: Proceedings of the 28th European Conference on Information Systems (ECIS), s.l., 2020 | Dombetzki, LucaKecht, ChristophKratsch, WolfgangRau, Daniel | |
Machine Learning in Business Process Monitoring : A Comparison of Deep Learning and Classical Approaches Used for Outcome Predictionin: Business & Information Systems Engineering, 2020 | Kratsch, WolfgangManderscheid, JonasRöglinger, MaximilianSeyfried, Johannes | |
Quality-Informed Semi-Automated Event Log Generation for Process Miningin: Decision Support Systems, 2020 | Andrews, Robertvan Dun, ChristopherWynn, Moe T.Kratsch, WolfgangRöglinger, Maximilianter Hofstede, Arthur H. M. | |
Treiberbasierte Simulation im Controlling bei Infineonin: Controlling, 2020 | Federmann, FrankHäckel, BjörnIsbruch, FelixKratsch, WolfgangMöller, KlausVoit, ChristianWunderlich, Philipp | |
Process Meets Project Prioritization : A Decision Model for Developing Process Improvement Roadmapspresented at: 27th European Conference on Information Systems (ECIS), Stockholm and Uppsala, Sweden, 2019 | Bitomsky, LauraHuhn, JohannesKratsch, WolfgangRöglinger, Maximilian | |
Data-driven Process Prioritization in Process Networksin: Decision Support Systems, 2017 | Kratsch, WolfgangManderscheid, JonasReißner, DanielRöglinger, Maximilian |