Scholar
Daniel Strüber
Google Scholar ID: QidV_04AAAAJ
Chalmers | University of Gothenburg, Radboud University Nijmegen
Citations & Impact
Citations
1,608
H-index
24
i10-index
47
Publications
20
Co-authors
63
list available
Publications
Resume (English only)
Academic Achievements
- - June 2025, two papers accepted in SEAA: on trade-off management in MLOps and design patterns for ML-enabled systems.
- - April 2025, papers accepted in JOT on LLM-assisted reverse engineering of class diagrams, and at LLM4SE on LLM-assisted grammar-instance co-evolution.
- - March 2025, paper accepted in SoSyM on an empirical study on manual abstraction.
- - February 2025, paper accepted in JSS on an SLR of architectural tactics for machine-learning-enabled systems.
- - January 2025, paper accepted in SoSyM on edge deployment of ML models using MDE concepts.
- - November 2024, received a distinguished reviewer award for work in the program committee of GPCE 2024.
- - November 2024, paper accepted in EMSE on software reconfiguration in robotic systems.
- - November 2024, paper accepted at SAC on quality trade-offs in machine-learning-enabled systems.
- - September 2024, co-editing a JSS special issue on Trends in Systems and Software Product Line Engineering.
- - June 2024, paper accepted at SEAA on an investigation of DSL development projects on GitHub.
Research Experience
- - Since 2024, Associate Professor at Chalmers | University of Gothenburg
- - 2021-2024, Senior Lecturer at Chalmers | University of Gothenburg
- - Since 2020, Assistant Professor at Radboud University Nijmegen
- - 2018-2020, Post-doc at Chalmers | University of Gothenburg
- - 2019 Aug-Nov, Research visit at King's College London
- - 2016-2018, Post-doc at University of Koblenz and Landau
Education
- - Ph.D., Philipps University Marburg, 2011-2016, graduated summa cum laude
- - Diplom (M.Sc. equivalent), Philipps University Marburg, 2005-2011, graduated with distinction
Background
- Software Engineering Researcher, focusing on supporting software developers during the construction and analysis of complex software systems. Main research areas include model-driven engineering, AI engineering, etc.
Miscellany
- Research interests include robotics, web-based systems, and IDEs.
