Fengjunjie Pan is a research assistant and PhD student at the Chair of Robotics, Artificial Intelligence and Embedded Systems under Prof. Dr.-Ing. habil. Alois Knoll since 2021. Before that, he worked on continuous integration and testing at Magna Telemotive München from 2019 to 2021. He graduated with the Master of Science degree in Electrical Engineering from the Technical University of Berlin, Germany, in 2019. He received the Bachelor of Engineering degree in the same major from the Hamburg University of Applied Sciences, Germany. His research focuses on automotive systems engineering and generative AI.
[MA] SQL Generation via Generative AI -- K. Bohaju (SS24 - WS24/25)
[MA] EMF Model Generation via Generative AI -- O. Abugharbiyeh (SS24 - WS24/25)
[MA] Generative AI for Software Requirements -- M. Tereshkin (SS24)
[MA] Leveraging LLMs in AI Planning for Robotics -- R. Varol (WS23/24 - SS24)
[MA] Privacy-enhancing Text Sanitization via Rewriting -- N. Walha (WS23/24 - SS24)
[BA] Automation and Optimization for Design Space Exploration Tasks with SMT Solvers -- L. Steindorf (SS 23)
[BA] Comparing SMT and MIP for Modeling Design Space Exploration Tasks -- J. Ye (SS 23)
Publications
2025
Kevin Chenhao Li, Vahid Zolfaghari, Nenad Petrovic, Fengjunjie Pan, Prof. Alois Knoll: Optimizing Retrieval Augmented Generation for Object Constraint Language, 2025 more…BibTeX
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Nenad Petrovic, Yurui Zhang, Moaad Maaroufi, Kuo-Yi Chao, Lukasz Mazur, Fengjunjie Pan, Vahid Zolfaghari, and Alois Knoll: Multi-modal Summarization in Model-Based Engineering: Automotive Software Development Case Study. 11th Intelligent Systems Conference, 2025 more…BibTeX
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2024
Betz, Tobias; Wen, Long; Pan, Fengjunjie; Kaljavesi, Gemb; Zuepke, Alexander; Bastoni, Andrea; Caccamo, Marco; Knoll, Alois; Betz, Johannes: A Containerized Microservice Architecture for a ROS 2 Autonomous Driving Software: An End-to-End Latency Evaluation. , 2024 more…BibTeX
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Fengjunjie Pan, Markus Rickert, Tobias Betz, Long Wen, Jianjie Lin, Nenad Petrovic, Markus Lienkamp, Alois Knoll: Toward Software-Defined Vehicles: From Model-based Engineering to Virtualization-based Deployment. IEEE Access, 2024 more…BibTeX
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Fengjunjie Pan, Vahid Zolfaghari, Long Wen, Nenad Petrovic, Jianjie Lin, Alois Knoll: Generative AI for OCL Constraint Generation: Dataset Collection and LLM Fine-tuning. IEEE International Symposium on Systems Engineering (ISSE), 2024 more…BibTeX
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Krzysztof Lebioda, Viktor Vorobev, Nenad Petrovic, Fengjunjie Pan, Vahid Zolfaghari, Alois Knoll: Towards Single-System Illusion in Software-Defined Vehicles - Automated, AI-Powered Workflow. Technische Universität München, 2024, more…BibTeX
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Long Wen, Yu Zhang, Markus Rickert, Jianjie Lin, Fengjunjie Pan, Alois Knoll: Fog vs. Cloud: Model-based Allocation and Deployment of Cloud-native Robotics Applications and Evaluation of Real-time Tasks. IEEE International Conference on Robotics and Automation (ICRA), Workshop on Robot Software Architectures, 2024 more…BibTeX
Nenad Petrovic, Fengjunjie Pan, Krzysztof Lebioda, Vahid Zolfaghari, Sven Kirchner, Nils Purschke, Muhammad Aqib Khan, Viktor Vorobev, Alois Knoll: Synergy of Large Language Model and Model Driven Engineering for Automated Development of Centralized Vehicular Systems. Technische Universität München, 2024, more…BibTeX
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Petrovic, Nenad; Lebioda, Krzysztof; Zolfaghari, Vahid; Schamschurko, André; Kirchner, Sven; Purschke, Nils; Pan, Fengjunjie; Knoll, Alois: LLM-Driven Testing for Autonomous Driving Scenarios. 2024 2nd International Conference on Foundation and Large Language Models (FLLM), IEEE, 2024, 173-178 more…BibTeX
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Tobias Betz, Long Wen, Fengjunjie Pan, Gemb Kaljavesi, Alexander Zuepke, Andrea Bastoni, Marco Caccamo, Alois Knoll, and Johannes Betz: A Containerized Microservice Architecture for a ROS 2 Autonomous Driving Software: An End-to-End Latency Evaluation. IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, 2024 more…BibTeX
Zolfaghari, Vahid; Petrovic, Nenad; Pan, Fengjunjie; Lebioda, Krzysztof; Knoll, Alois: Adopting RAG for LLM-Aided Future Vehicle Design. 2024 2nd International Conference on Foundation and Large Language Models (FLLM), IEEE, 2024, 437-442 more…BibTeX
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2023
Lin, Jianjie; Rickert, Markus; Wen, Long; Pan, Fengjunjie; Knoll, Alois: Knowledge-Augmented Anomaly Detection in Small Lot Production for Semantic Temporal Process Data. Proceedings of the IEEE International Conference on Emerging Technologies And Factory Automation (ETFA), 2023 more…BibTeX
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Pan, Fengjunjie; Lin, Jianjie; Rickert, Markus; Knoll, Alois: Automated Design Space Exploration for Resource Allocation in Software-Defined Vehicles. Proceedings of the IEEE Intelligent Vehicles Symposium (IV), 2023 more…BibTeX
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Wen, Long; Rickert, Markus; Pan, Fengjunjie; Lin, Jianjie; Knoll, Alois: Bare-Metal vs. Hypervisors and Containers: Performance Evaluation of Virtualization Technologies for Software-Defined Vehicles. Proceedings of the IEEE Intelligent Vehicles Symposium (IV), 2023 more…BibTeX
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2022
Pan, Fengjunjie; Lin, Jianjie; Rickert, Markus; Knoll, Alois: Resource Allocation in Software-Defined Vehicles: ILP Model Formulation and Solver Evaluation. Proceedings of the IEEE International Conference on Intelligent Transportation Systems (ITSC), 2022 more…BibTeX
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