Jan-Philipp Steghöfer
Scholar

Jan-Philipp Steghöfer

Google Scholar ID: 5GH34v0AAAAJ
Research and Innovation, XITASO IT & Software Solutions
Software EngineeringTraceabilityModel-Driven EngineeringLarge-Scale Agile DevelopmentSafety and Security
Citations & Impact
All-time
Citations
1,493
 
H-index
19
 
i10-index
47
 
Publications
20
 
Co-authors
28
list available
Resume (English only)
Academic Achievements
  • Consistently publishes in top-ranked conferences and journals, with recent publications winning awards and establishing international collaborations. Actively contributes to educational research by using empirical methods to systematically identify areas for improvement and evaluate novel teaching approaches based on qualitative and quantitative evidence. Project-based learning and blended learning are part of his regular teaching toolbox. One of his papers received the Best Paper Award at ICSE 2016 SEET.
Research Experience
  • September 2022 – present: Senior Researcher at XITASO GmbH, researching cybersecurity, AI in healthcare, generative AI, agile methods, and model-driven engineering. Supports researchers in their Ph.D. journey and supervises bachelor's and master's theses. Works with delivery teams as a cybersecurity specialist and a software architect.
  • March 2018 – August 2022: Associate Professor at Chalmers University of Technology and University of Gothenburg, conducting research and teaching in the joint Software Engineering Division.
Education
  • September 2022 – present: Senior Researcher at XITASO GmbH
  • March 2018 – August 2022: Associate Professor at Chalmers University of Technology and University of Gothenburg, Joint Software Engineering Division
Background
  • Senior Researcher at XITASO GmbH, focusing on cybersecurity, AI in healthcare, and the impact of generative AI on development organizations. Also works as a cybersecurity expert, software architect, and consultant. Previously, he was an associate professor in the joint Software Engineering Division of Chalmers University of Technology and the University of Gothenburg, with research interests in making software development more transparent through traceability techniques, improving flexibility and robustness of computer systems using self-adaptation and self-organization, and enhancing software engineering education with serious games and evidence-guided reflection.
Miscellany
  • Winter term 2024/2025: Visiting Lecturer at Technical University of Applied Sciences Augsburg, teaching a course on software engineering in data-intensive systems.