Research Focus-Team and Theses Supervision
Current Students
Former Students
- Jaimin Nareshbhai Vaghasiya (June 2024-May 2025, Type: Master Thesis, My role: Main supervisor, Topic: ” Developing Accessible Frameworks and Validation Strategies for Effective Data Monetization").
- Joyeeta Datta (April 2024-Feb 2025, Type: Master Thesis, My role: Main supervisor, Topic: ”Exploring In-Context Learning Abilities in Compressed Large Language Models”).
Alexander Finske (Feb 2024-Jan 2025, Type: Bachelor Thesis, My role: Main supervisor, Topic: ”The Impact of IoT and Blockchain Technologies on Smart Farming”).
Rahul Thiruvengadam (Nov 2023-Dec 2024, Type: Master Thesis, My role: Main supervisor, Topic: ”Supporting the Specification of Fairness Requirements”).
Sanjeev Sun Shakya (May 2023-Oct 2024, Type: Master Thesis, My role: Main supervisor, Topic: ”Model-based Data Sovereignty and Security Analysis in the Context of Data Marketplaces”).
Sudheer Kumar Gandham (Aug 2023-Sept 2024, Type: Master Thesis, My role: Main supervisor, Topic: ”The Impact of Blockchains on the Business Models of Agri-food Systems”).
- Bivas Bisht (graduated, Sept 2023-Sept 2024, Type: Master Thesis, My role: Main supervisor, Topic: ”Impact of Clustering and Topic Modelling on Retrieval-Augmented Generation (RAG): A Three-Layered Framework”).
- Pavankumar Tokachichu (graduated, Aug 2023-Sept 2024, Type: Master Thesis, My role: Main supervisor, Topic: ”Analysing the Impact of Blockchains on Companies Organization and new business models”).
Ashik Abdul Rahuman Peer Mohamed (graduated, June 2023- April 2024, Type: Master Thesis, My role: Main supervisor, Topic: ”AI-based Smart contracts classification: Comparative study”).
Martin Hollmann (graduated, Oct 2021- Sept 2022, Type: Master Thesis, My role: Co-supervised with Dr. Marco Konersmann, Topic: ”Engineering Data Protection-Aware Health Data Intelligence Systems by Design”).
Ali Akbar (graduated, Aug 2021- Aug 2022, Type: Master Thesis, My role: Main supervisor, Topic: ”A Prediction of LaboratoryWorkflow Simulations for Testing Diseases such as Covid-19”).
UNIVERSITY OF KOBLENZ
Universitätsstraße 1
56070 Koblenz



