Prof. Dr. Rudolf Müller
Full Professor | Principal Investigator
Rudolf is one of the principal investigators representing the School of Business and Economics at BISS. His mission is to make data and algorithms useful for organizations and society, from technical aspects to the human and organizational factor. His academic work in this regard includes topics such as efficient algorithms and data structures for prescriptive analytics, cloud computing infrastructures for scientific computing, the economics of coordination mechanisms on digital platforms and behavioral studies. He enjoys sharing his broad experience in bachelor’s, master’s and executive education and has supervised numerous projects with the business community since he started at BISS in 2015.
Rudolf holds a master in Mathematics (Universität Bonn), PhD in applied Mathematics (Technische Universität Berlin), and Habilitation in Information Systems (Humboldt University zu Berlin).
Keywords:
- Business value
- Design thinking
- Data science enthusiast
My work at BISS
DAZM: Towards digital autonomy in healthcare and SME
This project focuses on a gradual and carefully designed transition to open-source solutions, in collaboration between healthcare institutions, SME IT suppliers, and technology partners.
In progressProjectDigiMach: Smart, Sustainable, and Connected Manufacturing
Helping SMEs in our Euro-region accelerate their digital transformation
In progressProjectEnhancing customer support with AI
Improving the efficiency of customer support by using AI to answer the most common questions.
FinishedProjectPrevent factory shutdowns
How can we ensure an operator responds effectively to alarms and takes appropriate actions?
FinishedProjectPublic Adoption of ADM Systems: The Impact of Transparency and Perceived Fairness
The public perceptions of algorithmic decision-making systems: Results from a large-scale survey.
PublicationScientific publicationTraining Data Interpretation, Ethics & Security
In 2 days, data science will be explained in an interdisciplinary manner using a case from the organization.
EducationWhat is the content of Livestock feed?
Using data analysis, we assist farmers by translating feed labels into information about actual contents of the feed
FinishedProject