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Rebekka Wohlrab is a Postdoctoral Research Fellow in Software Engineering at the University of Gothenburg. Her research focuses on using behavior trees for risk assessment in human-robot interactions, particularly in the context of automation explainability. Wohlrab has contributed to significant conferences, including the IEEE International Conference on Emerging Technologies in Factory Automation. She has collaborated on various projects involving quality trade-offs in machine learning-enabled systems and adaptive resolution of requirements conflicts in robot mission planning. Wohlrab's work also explores the challenges of creating effective automated design environments and the maintenance of traceability information in large-scale agile organizations. Her publications reflect a commitment to advancing research in software engineering, with a special emphasis on the integration of human factors and automation. Over the years, she has developed a strong profile in adaptive software systems, contributing to numerous conference proceedings and journal articles, particularly regarding effective self-adaptation and software quality assurance.
University of Gothenburg • Gothenburg, Sweden
Conducting research in software engineering, focusing on behavior trees and their applications in risk assessment and human-robot interaction.
Administered by the Department of Political Science; focus on International Administration and Global Governance (IAGG).