Christopher van Dun
+49 921 55 – 4754
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-)Designin: CEUR Workshop Proceedings, 2021
Röglinger, Maximilianvan Dun, ChristopherFehrer, TobiasFischer, Dominik AndreasModer, LindaKratsch, Wolfgang
Becoming a Data-Driven Company : How medi Has Laid the Foundations: Prerequisites for Developing a Data Strategyin: Urbach, Nils: Digitalization Cases Vol. 2, Springer International Publishing, Basel, 2021
Buck, Christophvan Dun, ChristopherHuber, RoccoJöhnk, JanBirkel, Markus
Enhancing Event Log Quality : Detecting and Quantifying Timestamp Imperfectionsin: Fahland, Dirk: Business Process Management : 18th International Conference BPM 2020 : Proceedings, Springer, Cham, 2020
Fischer, Dominik AndreasGoel, KanikaAndrews, Robertvan Dun, ChristopherWynn, MoeRöglinger, Maximilian
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
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.
A Simulation-Based Approach to Understanding the Wisdom of Crowds Phenomenon in Aggregating Expert Judgmentin: Business & Information Systems Engineering, 2020
Afflerbach, Patrickvan Dun, ChristopherGimpel, HennerParak, DominikSeyfried, Johannes