Prof. Dr. Oliver Müller

Wirtschaftsinformatik, insb. Data Analytics

Leiter -

E-Mail:
oliver.mueller@uni-paderborn.de
Telefon:
+49 5251 60-5100
Büro­anschrift:
伟德体育_伟德国际手机1946-在线*平台@ Str. 100
33098 Paderborn
Raum:
Q2.457

Forschung

Aktuelle Projekte

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Publikationen

Aktuelle Publikationen

Bridging the gap between data-driven and theory-driven modelling – leveraging causal machine learning for integrative modelling of dynamical systems

D.R. Zapata Gonzalez, M. Meyer, O. Müller, in: 2025.


A Step Towards Cognitive Automation: Integrating LLM Agents with Process Rules

S.B. Kaltenpoth, A.M. Skolik, O. Müller, D. Beverungen, in: Lecture Notes in Computer Science, Springer Nature Switzerland, Cham, 2025.

DOI

Don't Touch the Power Line - A Proof-of-Concept for Aligned LLM-Based Assistance Systems to Support the Maintenance in the Electricity Distribution System

S.B. Kaltenpoth, O. Müller, ACM SIGEnergy Energy Informatics Review 4 (2025) 16–22.

DOI

Process Mining for Robust Heat Integration through Process- and Product-Centric Energy Demand Modeling

D.R. Zapata Gonzalez, K. Brennig, K. Benkert, F. Schlosser, O. Müller, in: ACM SIGEnergy Energy Informatics Review, Association for Computing Machinery (ACM), 2025, pp. 19–31.

DOI

Causal Machine Learning Approaches for Modelling Data Center Heat Recovery: A Physical Testbed Study

D.R. Zapata Gonzalez, M. Meyer, O. Müller, in: ACM SIGEnergy Energy Informatics Review, Association for Computing Machinery (ACM), 2025, pp. 4–10.

DOI

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Lehre


Laufende Lehrveranstaltungen

  • ?bung zu Grundlagen von Managementinformationssystemen
  • Vorlesung zu Grundlagen von Managementinformationssystemen
  • Methoden der Data Science - ?bung
  • Methoden der Data Science
  • Mentoring Wirtschaftsinformatik
  • Erneute Modul- und Prüfungsanmeldung zu M.184.3321
  • Digitalisierung in der Gesundheitswirtschaft
  • Data Science for Business
  • Applied Machine Learning for Text Analysis