Documents of the Department

• Master Theses
• Bachelor Theses

• Franck, Jan: Dynamic Service Configuration in SOME/IP Middleware: Identification and Evaluation, Master Thesis No. 47, 2024.
• Girish, Chandan: Evaluation and integration of DDS middleware for interconnection between Android Automotive and AUTOSAR, Master Thesis No. 5, 2024.
• Hildebrand, Moritz: Investigating gate teleportation using non-maximally entangled states for gate cutting, Master Thesis No. 24, 2024.
• Hoxha, Erisa: Energy and CO2 footprint of cloud/backend processing, Master Thesis No. 15, 2024.
• Mukadam, Badruddin Imtiyaz: Exploring a Hybrid of Machine Learning and HTN Planning for Occupant Activity Recognition, Master Thesis No. 7, 2024.
• Palaniappan, Saranyan: Easy to use methods for securing the channel between mobile apps and connected consumer devices, Master Thesis No. 9, 2024.
• Palyam Satish, Adarsh: Co-Simulation Conceptualization of Event and Intermediate Update Mode in Functional Mock-up Interface 3.0, Master Thesis No. 10, 2024.
• Parajuli, Bishwash Krishna: Evaluating the PlanX Toolbox: Insights on Best Practices, Usability, and Enhancement Opportunities, Master Thesis No. 32, 2024.
• Patil, Devaji: Semi-automated evaluation of masters application data, Master Thesis No. 54, 2024.
• Philippsohn, Robert: Identification of design patterns in AI Planning software, Master Thesis No. 17, 2024.
• Rameshan, Sreelakshmi: Analyzing frameworks and strategies for converting neural networks for neuromorphic processors, Master Thesis No. 55, 2024.
• Sinha, Vishesh: Leveraging LLMs for HTN domain model generation via prompt engineering, Master Thesis No. 57, 2024.
• Telsang, Poornima: Classification of status of applicants based on other available datasets and parameters, Master Thesis No. 53, 2024.
• Ülger, Victor: Analyzing the effect of entanglement of training samples on the loss landscape of quantum neural networks, Master Thesis No. 19, 2024.
• Verma, Pankhuri: Investigation on precise measurement of CO2 emissions from AI applications, Master Thesis No. 12, 2024.
• Youssef, Johnny: Python's dominance in machine learning : unraveling its emergence and exploring the trade-offs of faster alternatives, Master Thesis No. 52, 2024.

• Aldekal, Ahmed Ebrahim: Entwicklung eines Frameworks für die Nutzung von konkreten Lösungen der Quantencomputing Mustersprache, Bachelor Thesis No. 3, 2024.
• Ebert, Tom: Konzeption und Entwicklung eines Low-Code-Frameworks für Quantencomputing-Anwendungen, Bachelor Thesis No. 12, 2024.
• Längerer, Pascal: Exploring HTN Planning for Automated Reconfiguration of Distributed Applications: Opportunities and Pitfalls, Bachelor Thesis No. 30, 2024.
• Müller, Lukas: Impact on smart technology on energy use in university offices: a case study, Bachelor Thesis No. 38, 2024.
• Szekely, Ervin: Modeling the Behavior of Platoons of Motorcyclists Driving in the Black Forest, Bachelor Thesis No. 39, 2024.