Ronny Seiger

Ronny Seiger

Ronny Seiger

Prof. Dr.
Assistant Professor
Institute of Computer Science (ICS-HSG)
Büro 61-460
Rosenbergstrasse 30
9000 St. Gallen
Publications Publications of Ronny Seiger
Main Focuses
  • Computer Science
  • Software Engineering Methods and Techniques
Fields of research
  • Software Engineering
  • Internet of Things
  • Cyber-physical Systems
  • Business Process Management
Further fields of research
  • Industry 4.0
  • Complex Event Processing
  • Robotics
  • Systems Engineering
  • Mixed Reality
  • Software Architecture
Education

Diploma in Computer Science, TU Dresden, Germany (2011)

PhD in Computer Science, TU Dresden, Germany (2018)

Teaching Activities
  • Advanced Software and Systems Engineering
  • Event-driven and Process-oriented Architectures
  • Design of Software Systems
  • Event-driven and Process-oriented Applications for IoT
  • Fundamentals of Computer Science
  • Coding and Artifical Intelligence
Additional Information

Ronny Seiger received his Diploma in computer science from Technische Universität Dresden, Germany in 2011 and his PhD in 2018. He has been a member of the Software Engineering of Ubiquitous Systems group from 2012 to 2015. From 2015 to 2019 he has been a research assistant at the Software Technology group at TU Dresden. From 2019 to 2022 Ronny Seiger has been working as a Post-Doc at the Chair for Software Systems Programming and Development at the University of St. Gallen, Switzerland. Since 2022 he is Assistant Professor for Computer Science with focus on Software Engineering Methods and Techniques at the University of St.Gallen. His PhD thesis was about self-managed workflows for cyber-physical systems. His research interests include workflows and processes, Cyber-physical Systems (CPS), Internet of Things (IoT), robotics, distributed systems and complex event processing as well as software engineering and architecture. His main research is at the intersection of business process management (BPM), software engineering and IoT with a focus on applying BPM technologies for analyzing and automating processes in Cyber-physical systems.

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