Judith Wewerka studied Mathematics in Data Science at the Technical University of Munich and graduated in June 2018. Her Master's Thesis dealt with solving underdetermined linear systems of equations using l1-regularization and a new near-optimal approach to find the regularization parameter using the given noisy data. In practice, she reconstructed real-life MRI images from noisy and incomplete signals with Matlab.
During her external dissertation, in cooperation with BMW, she investigates novel methods of process automation. In particular, she is interested in Robotic Process Automation, a technology that programs software robots to mimic human interactions in business processes. You can find more information about her PhD topic in the CheckRPA project.
In her leisure time, she likes going climbing and bouldering or hiking in the mountains. Moreover, she is addicted to dancing Forró and plays in an orchestra.
|Wewerka, Judith and Reichert, Manfred (2021) Robotic Process Automation in the Automotive Industry - Lessons Learned from an Exploratory Case Study. In: 15th International Conference on Research Challenges in Information Science (RCIS 2021), Limassol, Cyprus, 11 - 14 May 2021, Lecture Notes in Business Information Processing 415(415): 3-19, Springer.|
|Wewerka, Judith and Micus, Christian and Reichert, Manfred (2021) Seven Guidelines for Designing the User Interface in Robotic Process Automation. In: IEEE Int'l Workshop on Intelligent Digital Architecture, Methods, and Services for Industry 4.0 and Society 5.0 (IDAMS 2021), Workshop at the EDOC 2021 Conference, Gold Coast, Australia, 25 - 26 October 2021, IEEE Computer Society Press. (Accepted for Publication)|
|Wewerka, Judith and Reichert, Manfred (2021) Checklist-based Support of Knowledge Workers in Robotic Process Automation Projects. In: IEEE 23rd Conference on Business Informatics (CBI 2021), Bozen-Bolzano, Italy, 1 - 3 September 2021, IEEE Digital Library. (Accepted for Publication)|
|Wewerka, Judith and Dax, Sebastian and Reichert, Manfred (2020) A User Acceptance Model for Robotic Process Automation. In: 24th IEEE Int'l Enterprise Distributed Object Computing Conference (EDOC 2020), Eindhoven, The Netherlands, 5 - 8 October 2020, IEEE Computer Society Press, pp. 97-106.|
|Wewerka, Judith and Reichert, Manfred (2020) Towards Quantifying the Effects of Robotic Process Automation. In: Int'l Workshop on Frontiers of Process Aware Systems (FoPAS 2020), in conjunction with EDOC 2020 Workshops, Eindhoven, The Netherlands, 5 October 2020, IEEE Computer Society Press, pp. 11-19.|
|Wewerka, Judith and Reichert, Manfred (2020) Robotic Process Automation - A Systematic Literature Review and Assessment Framework. Technical Report arXiv:2012.11951v1, arXiv.|