Marcel Pfahrer

Professor Marcel Pfahrer is a faculty member at the Bern University of Applied Sciences in the Engineering and Computer Science department. He serves as the leader of the Data Science and Engineering (DSE) research group within the Institute for Data Applications and Security (IDAS) and is responsible for the e-Government research theme at IDAS.

His institutional affiliations include:

• Bern University of Applied Sciences, Engineering and Computer Science (since 1992, full-time since 2006)
• Institute for Data Applications and Security (IDAS)
• Urs Sauter + Marcel Pfahrer AG (1995-2006)
• University of Bern, Institute for Business Informatics (1995-2003)

Professor Pfahrer's research focuses on Information Systems, particularly decision-oriented Information Systems in public administration, Multimedia Information Systems with a focus on Geographic Information Systems (GIS), Web-based and distributed Information Systems, Data Engineering, and Digital Business Systems. His work bridges theoretical computer science with practical applications in government and business contexts, emphasizing the development of robust, user-centered information solutions that address real-world challenges.

With extensive experience supervising over 30 Bachelor's and Master's students on diverse projects, Professor Pfahrer demonstrates a commitment to practical, applied research with tangible outcomes. His supervision approach appears to emphasize real-world problem solving across multiple domains including public administration, healthcare, and business applications.

Professor Pfahrer has received recognition for his academic achievements:

• Diploma with distinction and diploma prize in Business Informatics (1988)

With over 30 years of professional experience spanning academia, industry, and community service, Professor Pfahrer brings a wealth of practical knowledge to his teaching and research. His career demonstrates a consistent focus on developing information systems that effectively address practical challenges in public administration and business contexts.

He leads the Data Science and Engineering research group, which develops advanced data solutions for applications including e-government systems, sustainability evaluation, and information management in public administration, with numerous successfully completed research projects funded by Innosuisse and other organizations.