Hi, and welcome to my website. My name is Arvid Lepsien, and I am currently working at the Department of Computer Science at Kiel University as a PhD student with Prof. Dr. Agnes Koschmider at the Process Analytics Group. My research interests include process mining, especially process mining for unstructured data sources, holistic approaches to responsibility in business process management (BPM), applications of process mining and BPM in the judiciary, healthcare, and the public sector, as well as general applications of data science in business contexts.
A Systematic Literature Review on Responsible AI in Judicial
Processes: An Information Systems Perspective
M. Aleknonytė-Resch, J. Jens, F. Bukhsh, J. Brüning, A. Lepsien
Accepted as Completed Research Paper at: ECIS 2026, Milan,
Italy.
Methodical Responsibility for Business Process
Management
A. Lepsien, S. Plumhoff, S. Jelonnek, M. Aleknonytė-Resch, A.
Koschmider
Accepted as Completed Research Paper at: ECIS 2026, Milan,
Italy.
Let the Record Show: A Structured Approach to Process
Analytics in Judicial Contexts
M. Aleknonytė-Resch, A.-K. Dhungel, F. Elsaeßer, A. Lepsien
Process Science. Forthcoming (2026).
Process Analytics, Process Analytics, And Why We Need (A
Theory Of) Process Science
A. Lepsien, A. Lepsien, A. Melfsen, H. Schuldt-Buhmann, A.
Koschmider
Accepted at: ECIS 2026 TREO Forum, Milan, Italy. [PDF]
On the Role of Ethics in Business Process Modeling and
Management
A. Lepsien, P. Bräuer, S. Jelonnek, A. Koschmider, M.
Aleknonytė-Resch
Workshop on Virtues and Values in Conceptual Modeling and
Requirements Engineering (ViVa Models! 26), co-located with Modellierung
2026, Bayreuth, Germany. Forthcoming. [Submitted Version
(PDF)]
ContinuumConductor: Decentralized Process Mining on
the Edge-Cloud Continuum
H. Reiter, J. Edinger, M. Kabierski, A. Koschmider, O. Landsiedel, A.
Lepsien, X. Lu, A. Marrella, E. Serral, S. Schulte, F. Tschorsch, M.
Weidlich, W. Hasselbring
ICPM 2025 Workshops (COMINDS 2025), Montevideo, Uruguay. In
Press. [Proceedings
Volume][Submitted
Version (PDF)] [arXiv]
Making the Case for Process Analytics: A Use Case in Court
Proceedings
M. Aleknonytė-Resch, A.-K. Dhungel, F. Elsaeßer, A. Lepsien
BPMDS 2025, Vienna, Austria. [Submitted
Version (PDF)][ResearchGate][DOI]
Automatisierte Verhaltensanalyse von Mastschweinen zur
Bewertung von Stallklimabedingungen in freibelüfteten
Schweineställen
A. Melfsen, A. Lepsien, H. Schuldt, J. Bosselmann, A. Koschmider, E.
Hartung
Tier-Technik-Umwelt-Tagung, Höhere Bundeslehr- und Forschungsanstalt
für Landwirtschaft, Raumberg-Gumpenstein. [Proceedings]
Ranking the Top-K Realizations of Stochastically Known Event
Logs
A. Lepsien, M. Pegoraro, F. Fonger, D. Langhammer, M. Aleknonytė-Resch,
A. Koschmider
ICPM 2024 Workshops (EdbA’24), Kgs. Lyngby, Denmark. [Submitted Version
(PDF)][DOI][Open
Access at SpringerLink]
Representative Sampling in Process Mining: Two Novel Sampling
Algorithms for Event Logs
F. Fonger, N. Nebelung, A. Lepsien, M. Aleknonytė-Resch, A.
Koschmider
ICPM 2024 Workshops (PQMI 2024), Kgs. Lyngby, Denmark. [Submitted version
(PDF)][DOI][Open
Access at SpringerLink]
Automatisierte Identifizierung von Verhaltenssequenzen bei
Mastschweinen durch videodatenbasierte Verhaltenserkennung und Process
Mining
A. Melfsen, A. Lepsien, J. Bosselmann, A. Koschmider, E. Hartung
16. Tagung: Bau, Technik und Umwelt in der landwirtschaftlichen
Nutztierhaltung, Freising, Germany, 10.-12.09.2024 [Proceedings]
Describing Behavior Sequences of Fattening Pigs Using Process
Mining on Video Data and Automated Pig Behavior Recognition (Extended
Abstract)
A. Lepsien, A. Melfsen, J. Bosselmann, A. Koschmider, E. Hartung
EMISA 2024, Potsdam, Germany. (Journal First Presentation). [Open
Access at GI Digital Library][DOI]
Process Mining for Unstructured Data: Challenges and Research
Directions
A. Koschmider, M. Aleknonytė-Resch, F. Fonger, C. Imenkamp, A. Lepsien,
K. Apaydin, M. Harms, D. Janssen, D. Langhammer, T. Ziolkowski, Y.
Zisgen
Modellierung 2024, Potsdam, Germany. [PDF][Open
Access at GI Digital Library][DOI]
Künstliche Intelligenz für Tierwohl: Aktivitätserkennung und
Process-Mining im Schweinestall
A. Lepsien, A. Melfsen, A. Koschmider, T. Jäggle
Springer Wirtschaftsinformatik & Management (2023). [Open
Access at SpringerLink][DOI]
Analytics Pipeline for Process Mining on Video
Data
A. Lepsien, A. Koschmider, W. Kratsch
BPM 2023 Forum, Utrecht, The Netherlands. [PDF][SpringerLink][DOI]
Describing Behavior Sequences of Fattening Pigs Using Process
Mining on Video Data and Automated Pig Behavior
Recognition
A. Melfsen, A. Lepsien, J. Bosselmann, A. Koschmider, E. Hartung
MDPI Agriculture (2023). [Open Access at
MDPI.com][DOI]
Quantifying Uncertainty for Explainable Process Mining (PhD
Proposal)
A. Lepsien
EMISA 2023, Stockholm, Sweden. [Open Access at
CEUR-WS.org]
Process Mining on Video Data
A. Lepsien, J. Bosselmann, A. Melfsen, A. Koschmider
ZEUS 2022, Bamberg, Germany. [Open Access at
CEUR-WS.org]
Best Paper Award (BPMDS 2025): M. Aleknonytė-Resch, A.-K. Dhungel, F. Elsaeßer, A. Lepsien: Making the Case for Process Analytics: A Use Case in Court Proceedings