Documents of the Institute

• Master Theses
  • Sorted by numbers
  • Sorted by names
• Bachelor Theses
  • Sorted by numbers
  • Sorted by names

• No. 0005:  Girish, Chandan: Evaluation and integration of DDS middleware for interconnection between Android Automotive and AUTOSAR, Master Thesis No. 5, 2024.
• No. 0007:  Mukadam, Badruddin Imtiyaz: Exploring a Hybrid of Machine Learning and HTN Planning for Occupant Activity Recognition, Master Thesis No. 7, 2024.
• No. 0009:  Palaniappan, Saranyan: Easy to use methods for securing the channel between mobile apps and connected consumer devices, Master Thesis No. 9, 2024.
• No. 0010:  Palyam Satish, Adarsh: Co-Simulation Conceptualization of Event and Intermediate Update Mode in Functional Mock-up Interface 3.0, Master Thesis No. 10, 2024.
• No. 0012:  Verma, Pankhuri: Investigation on precise measurement of CO2 emissions from AI applications, Master Thesis No. 12, 2024.
• No. 0015:  Hoxha, Erisa: Energy and CO2 footprint of cloud/backend processing, Master Thesis No. 15, 2024.
• No. 0017:  Philippsohn, Robert: Identification of design patterns in AI Planning software, Master Thesis No. 17, 2024.
• No. 0019:  Ülger, Victor: Analyzing the effect of entanglement of training samples on the loss landscape of quantum neural networks, Master Thesis No. 19, 2024.
• No. 0024:  Hildebrand, Moritz: Investigating gate teleportation using non-maximally entangled states for gate cutting, Master Thesis No. 24, 2024.
• No. 0032:  Parajuli, Bishwash Krishna: Evaluating the PlanX Toolbox: Insights on Best Practices, Usability, and Enhancement Opportunities, Master Thesis No. 32, 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.
• Philippsohn, Robert: Identification of design patterns in AI Planning software, Master Thesis No. 17, 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.

• No. 0003:  Aldekal, Ahmed Ebrahim: Entwicklung eines Frameworks für die Nutzung von konkreten Lösungen der Quantencomputing Mustersprache, Bachelor Thesis No. 3, 2024.
• No. 0012:  Ebert, Tom: Konzeption und Entwicklung eines Low-Code-Frameworks für Quantencomputing-Anwendungen, Bachelor Thesis No. 12, 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.