Doctoral Candidate

Christopher van Dun

Doctoral Candidate
Mail  christopher.vandun@fim-rc.de
Phone  +49 921 55 – 4754
Room  Room: 3.15,
Wittelsbacherring 10,
95444 Bayreuth

Christopher van Dun completed his Abitur at the Franz-Ludwig-Gymnasium in Bamberg, Bavaria, in 2011. He finished his Bachelor’s degree in Computer Science at the University of Erlangen-Nuremberg in 2015. Afterwards, he continued his studies with a Master’s degree in Finance & Information Management at the universities of Augsburg, Munich and Bayreuth which he completed in 2018. Mr van Dun completed parts of his studies abroad, in Canada and Australia. He gathered practical experience in internships at KPMG (IT consulting) as well as at A.T. Kearney (management consulting) and at Tür an Tür – Digital Factory gGmbH. He started as a research assistant at the Research Center Finance & Information Management in January 2016. Since August 2018, he is employed as Doctoral Candidate.

In his research, Christopher van Dun deals with topics in data-driven business process management in general and with process mining in particular.

Automated Process (Re-)Design
in: CEUR Workshop Proceedings, 2021
Röglinger, Maximilian
van Dun, Christopher
Fehrer, Tobias
Fischer, Dominik Andreas
Moder, Linda
Kratsch, Wolfgang
Becoming a Data-Driven Company : How medi Has Laid the Foundations: Prerequisites for Developing a Data Strategy
in: Urbach, Nils: Digitalization Cases Vol. 2, Springer International Publishing, Basel, 2021
Buck, Christoph
van Dun, Christopher
Huber, Rocco
Jöhnk, Jan
Birkel, Markus
Enhancing Event Log Quality : Detecting and Quantifying Timestamp Imperfections
in: Fahland, Dirk: Business Process Management : 18th International Conference BPM 2020 : Proceedings, Springer, Cham, 2020
Fischer, Dominik Andreas
Goel, Kanika
Andrews, Robert
van Dun, Christopher
Wynn, Moe
Röglinger, Maximilian
Customers Like It Hot and Fast : Incorporating Customer Effects into the Meal Delivery Process
presented at: 28th European Conference on Information Systems (ECIS), Marrakesh, Marocco, 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.
A Simulation-Based Approach to Understanding the Wisdom of Crowds Phenomenon in Aggregating Expert Judgment
in: Business & Information Systems Engineering, 2020
Afflerbach, Patrick
van Dun, Christopher
Gimpel, Henner
Parak, Dominik
Seyfried, Johannes