By appointment

⬥ Research Associate for the VLUID project
⬥ Lecturer for Business Intelligence
⬥ PhD student

Passionate about data and excellent Business Intelligence solutions.
Enthusiastic Analyst, lecturer and STEMinist.

Data Analytics & Business Intelligence
I am an Analyst with 7+ years of industry experience in Data & Analytics, Business Intelligence and Project Management. I am currently working on my PhD in the field of Information Systems and focusing my research on smart cities at the University of Cologne while working at the Technische Hochschule Mittelhessen (THM) in Gießen as a Research Associate. I also hold lectures on Business Intelligence for the master's courses Digital Business and Corporate Management at the THM.

Smart Cities & Technology Acceptance
I am currently working on the smart city project VLUID in the city of Wetzlar, funded by the German Federal Ministry for Digital and Transport. VLUID focuses on revolutionizing traffic management with a data-driven approach and intelligent solutions. My research as a part of this project focuses on the contribution and influence of citizen science approaches on technology acceptance and adoption in the context of smart cities. Find my research history below or on ResearchGate.

Find out more about me on LinkedIn

Currently open theses

Data Mesh – Implications for Data Architectures and Data-Driven Companies
(Bachelor's or Master's Thesis)

Data Mesh is a socio-technical approach, founded in 2019, for creating a decentralized data architecture. This concept contrasts with the classic core data warehouse and offers an alternative solution that goes beyond mere data storage. Data is viewed as a product that must fulfill specific tasks. In addition to this paradigm shift, Data Mesh also introduces organizational and procedural changes, which are prerequisites for managing data as a "material asset" of the company.

Since this field is still young, there is little academic literature on the topic. The thesis will therefore include a literature review of both academic and grey literature and may be supplemented by an expert survey. Key objectives are:

• Collecting current scientific and gray literature on term definition
• Analysis and compilation of the technical and organizational components that characterize a data mesh
• Derivation of recommendations for action for organizations

📄 2025: How companies advance smart cities: industry as an important stakeholder for intelligent traffic management applications. In: HMD practice of business informatics

📄2025: From Traffic Dynamics to Smart City Solutions: Identifying Key Elements for Data-Driven Traffic Management. AMCIS 2025 - America's Conference on Information Systems, Montreal, Canada
Voted as top 25% of papers

📄 2024: Hearing the People: Citizen-Centric Requirements Engineering for the Development of Smart Traffic Management Applications. AMCIS 2024 - America's Conference on Information Systems, Salt Lake City, UT, USA.
Nominated for the Best Paper Award and selected as one of the top 25% of papers.

📄 2024: Sustainable Smart Cities: A Comprehensive Framework for Sustainability Assessment of Intelligent Transport Systems. In: Information Technology for Management: Solving Social and Business Problems through IT

📄 2024: Data-Driven Traffic Management on the Last Mile: Understanding Manufacturing Industry in Smart City Ecosystems. In: Handbook on Digital Platforms and Business Ecosystems in Manufacturing

📄2023: The Influence of Citizen Involvement on the Intention to Use Smart Traffic Management Applications. ICIS 2023 - International Conference on Information Systems, Hyderabad.

📄2023: A Framework for Assessing the Sustainability of Intelligent Transport Systems in the Smart City Context. 18th Conference on Computer Science and Intelligence Systems, Warsaw.

📄 2022: An Instrument for Evaluating Data-Driven Traffic Management Applications in the Context of Digital Transformation Towards a Smart City. Software Business, Springer.
🥇 Best Paper Award at the International Conference on Software Business (ICSOB) 2022, Bolzano.

📝 2022: Integration of Citizens into the Development Process of Data-Driven Applications in the Context of a Smart City in Order to Achieve High Acceptance and System Success. CEUR Workshop Proceedings. [Research Proposal]

📄 2020: Study on the level of knowledge and use of artificial intelligence in the central Hesse economy and the neighboring Siegerland - analysis of the AI ​​maturity of companies as part of a qualitative study