I obtained my PhD in Business Economics focusing on information systems, model-driven engineering, behavior / process analytics. My research interests include code generation (soft/web, backend/frontend/UI) to support simulation/testability, semantic/syntactic validation of business requirements represented as models (UML/XML/text) and process- / behavior- analytics based recommendation/feedback automation. My current teaching areas include Business Intelligence topics (e.g. BI methodologies, Business analytics, visual analytics dashboards, business performance management, process analytics) as well as low code application development. I am also interested in expanding my domain towards a broader context of data analytics including but not limited to NLP; machine learning, explainable AI.
Current research topics / projects
- How educational feedback needs changed during the times of Covid pandemics and what are the long-term effects?
- TeToMoCo: The goal of the project is three-fold: 1. TeToMo framework that combines the state-of-the-art natural language processing approaches and techniques for identifying potential architecture elements candidates out of textual descriptions (business requirements). 2. A subsequent prototype implementation that can assist a knowledge construction process through (semi-) automatic generation and validation of UML models. 3. Automatic web application generation (backend/frontend/UI) out of generated UML/XML models following principles of Model Driven Engineering