Birgit Vogel-Heuser received her Dipl. Ing. degree in electrical engineering in 1987 and her Dr.-Ing. degree in mechanical engineering in 1990 from the RWTH Aachen, Germany. She acquired over ten years industrial experience in industrial automation. After different professorship positions, she was appointed to the Chair of Automation and Information Systems at the Technical University Munich in 2009. Her research is focussing on evolvable field-level automation and appropriate architectures for manufacturing and logistic systems. She is a Senior Member of the IEEE; IEEE RAS Distinguished Lecturer, Co-Chair of IEEE RAS TC Digital Manufacturing and Human-Centered Automation and a member of the National Academy of Science and Engineering in Germany (acatech).
The research interests of Prof. Vogel-Heuser (*1961) are in the area of systems and software engineering as well as in the modeling of distributed and reliable embedded systems. Especially, her research foci are put on the challenges that result from the increasing demand to produce customer-specific products in the plant manufacturing domain. Engineering and education on hybrid process and heterogeneous distributed and intelligent systems using a human centered approach are also included in her research area.
Vogel-Heuser B, Trunzer E, Hujo D, Sollfrank M: “(Re-)Deployment of Smart Algorithms in Cyber-Physical Production Systems using DSL4hDNCS”. Proceedings of the IEEE. 2021; 109 (4): 542-555.
Feldmann S, Kernschmidt K, Wimmer M, Vogel-Heuser B: “Managing Inter-Model Inconsistencies in Model-based Systems Engineering: Application in Automated Production Systems Engineering”. Journal of Systems and Software (JSS). 2019; 153 (1): 105-134.
Vogel-Heuser B, Ocker F: “Maintainability and evolvability of control software in machine and plant manufacturing – An industrial survey”. Control Engineering Practice. 2018; 80: 157-173.
Vogel-Heuser B, Fay A, Schäfer I, Tichy M: “Evolution of software in automated production systems: Challenges and research directions”. Journal of Systems and Software (JSS). 2015; 110: 54-84.
Vogel-Heuser B, Schütz D, Folmer J: “Criteria-based alarm flood pattern recognition using historical data from automated production systems (aPS)”. Mechatronics. 2014; 31: 89-100.