Yuchen Xia
Hello, I am Yuchen Xia.
Doctoral Candidate (final-year)
Institute of Industrial Automation and Software Engineering (IAS)
University of Stuttgart, Germany
Hi👋, thanks for coming over. I am a final-year Ph.D. candidate at the Institute of Industrial Automation and Software Engineering (IAS), University of Stuttgart. I am doing research with my professors Prof. Dr.-Ing. Dr. h. c. Michael Weyrich and Prof. Dr.-Ing. Nasser Jazdi. We've developed several tech solutions that are being used in industry, and we're currently collaborating with industry partners to incubate new automation products powered by LLM agents across various projects. I am now focusing on industry projects and writing my dissertation titled "Integrating Large Language Model Agents with Digital Twins for Industrial Automation". If you find the stuff here interesting, feel free to drop me a message (📧yuchen.xia@ias.uni-stuttgart.de).
Research Areas:
- Large Language Models: Agent System, Tool-Using Agent, Generative System, Assistant System for Specialized Tasks.
- Digital Twins: Software-as-a-Service (SaaS), System Modeling, Simulation, Software Modeling, Semantic Modeling, Model-driven Software Development
- Automation System: Industrial Automation, Internet of Things, Workflow and Task Automation, Robotics Application, and Automotive Application.
Academic Journey
- Ph.D. Candidate, Industrial Automation & Software Engineering, University of Stuttgart, Germany (2020 – present)
Funded by the Stiftung der Deutschen Wirtschaft; affiliated with the Graduate School of Excellence in Advanced Manufacturing Engineering (GSaME). - M.Sc., Mechatronics & Autonomous Systems, University of Stuttgart, Germany (2017-2019)
- B.Sc., Automotive & Engine Technology, University of Stuttgart [Wiki], Germany (2013-2017)
Dual-degree program - B.Eng., Mechanical Design & Automation, Wuhan University [Wiki], China (2011-2017)
Dual-degree program
Awards and Acknowledgements
For research: Applying Large Language Models for intelligent industrial automation.
For research: LLM Experiments with Simulation: Multi-Agent System for Simulation Model Parameterization in Digital Twins.
Research
Towards autonomous system: flexible modular production system enhanced with large language model agents, Yuchen Xia, Methan Shenoy, Nasser Jazdi, Michael Weyrich, IEEE 28th ETFA, 2023, [IEEE published (PDF)] [arXiv Pre-print (PDF)] [Youtube Video]
TLDR: LLM agents plan workflows and control automation facility.
LLM experiments with simulation: Large Language Model Multi-Agent System for Simulation Model Parametrization in Digital Twins, Yuchen Xia, Daniel Dittler, Nasser Jazdi, Haonan Chen, Michael Weyrich, IEEE 29th ETFA, 2024, [IEEE published (PDF)] [arXiv Pre-print (PDF)] [GitHub] 🏆Best-Paper-Award at IEEE-ETFA-2024 (Sep 13, 2024)
TLDR: LLM agents simulate experiments.
Generation of Asset Administration Shell With Large Language Model Agents: Toward Semantic Interoperability in Digital Twins in the Context of Industry 4.0, Yuchen Xia, Zhewen Xiao, Nasser Jazdi, Michael Weyrich, IEEE Access, 2024, [IEEE published (PDF)] [GitHub]
TLDR: Translate unstructured data into structured information model.
Control Industrial Automation System with Large Language Models, Yuchen Xia, Nasser Jazdi, Jize Zhang, Chaitanya Shah, Michael Weyrich, (accepted) IEEE 30th ETFA, 2025, [arXiv Pre-print (PDF)] [GitHub]
TLDR: Control of automation and robotics system with LLM Agents.
Incorporating Large Language Models into Production Systems for Enhanced Task Automation and Flexibility, Yuchen Xia, Jize Zhang, Nasser Jazdi, Michael Weyrich, VDI-Berichte Nr. 2437, 2024, [VDI Conference (PDF)] [arXiv Pre-print (PDF)]
TLDR: Event & service-based control with LLMs for automation and robotics.
Enhance FMEA with Large Language Models for Assisted Risk Management in Technical Processes and Products, Yuchen Xia, Nasser Jazdi, Michael Weyrich, IEEE 29th ETFA, 2024, [IEEE published (PDF)] [Pre-print (PDF)] [GitHub]
TLDR: A small demo of LLM assistance in brainstorming and creating documents for risk management.
Podcast interview with Peter Seeberg, LLM Multi-Agent System, Industrial AI Podcast, 2024, [LinkedIn Post] [Apple Podcasts] [Spotify]
TLDR: Interview and discussion about LLM agents for simulation and digital twins.
Applying Large Language Models for intelligent industrial automation, Yuchen Xia, Nasser Jazdi, Michael Weyrich, atp magazin, Vol. 66, No. 6-7, pp. 62-71, 2024, [atp magazin (PDF)] [Subscribe atp magazin] 🏆atp award, VDI-Wissensforum, Automation 2025
TLDR: An overview paper explaining methodologies for applying LLM in industrial automation.
An Architecture for Integrating Large Language Models with Digital Twins and Automation Systems, Yuchen Xia, Nasser Jazdi, Michael Weyrich, IEEE 30th ETFA, 2025, [Preprint (PDF)]
TLDR: Layered architecture and modeling methods for integrating LLMs, digital twins, and automation systems.
Publications (also see Google Scholar)
| Title | Year | Google Link |
|---|---|---|
| Simulation-Integrated Agent System for Scientific Reasoning with LLMs (under review) | 2025 | |
| An Architecture for Integrating Large Language Models with Digital Twins and Automation Systems | 2025 | 🔗Paper |
| Generate Customized ERP Software with LLM Agents and a Model-Driven Platform (under review) | 2025 | |
| Control Industrial Automation Systems with Large Language Models | 2025 | 🔗Paper |
| Applying Large Language Models for Intelligent Industrial Automation -🏆 atp award 2024 – VDI Automation (July 01, 2025) | 2024 | 🔗Paper |
| LLM experiments with simulation: Large Language Model Multi-Agent System for Simulation Model Parameterization in Digital Twins -🏆 Best Paper – ETFA 2024 (Sep 13, 2024) | 2024 | 🔗Paper |
| Generation of asset administration shell with large language model agents: Towards semantic interoperability in digital twins in the context of Industry 4.0 | 2024 | 🔗Paper |
| Incorporating Large Language Models into Production Systems for Enhanced Task Automation and Flexibility | 2024 | 🔗Paper |
| A Flexible Digital Twin Framework for ATMP Production – Towards an Efficient CAR T Cell Manufacturing | 2024 | 🔗Paper |
| Enhance FMEA with Large Language Models for Assisted Risk Management in Technical Processes and Products | 2024 | 🔗Paper |
| Towards autonomous systems: Flexible modular production system enhanced with large language model agents -⭐️ most cited in conference proceeding 🔗IEEE | 2023 | 🔗Paper |
| Automated generation of Asset Administration Shell: A transfer-learning approach with neural language model and semantic fingerprints | 2022 | 🔗Paper |
Teaching and Supervision of Research Projects
I have designed more than 40 research topics for master students and mentored them throughout their thesis work. It includes 25 master theses and 17 smaller research projects. Altogether, that’s more than 30 master students, and most of them are now engineers working in industry after their successful graduation. We keep in touch from time to time.
List of supervised students’ theses:
2025 (ongoing)
- Secure Task Delegation for Tool-Using Language Model Agents in Workflow Automation (Master Thesis)
- Integrating Visual Large Language Models for Anomaly Recognition in Manufacturing Systems (Master Thesis)
- Resource-Constrained Optimization for On-Premise Deployment of LLM Applications (Master Thesis)
- Design and Implementation of an LLM-Powered GUI Agent System for Automated Interface Interaction (Master Thesis)
- Anomaly Detection and Analysis Using Simulated and Real-Time Video Data with Vision Language Models (Master Thesis)
- Fine-Tuning LLMs for AI-Assisted Compliance Analysis in Manufacturing (Master Thesis)
- Optimizing LLM Interaction with Domain-Specific Simulation via Model Fine-Tuning (Master Thesis)
- Information Extraction with LLM Agents and Code Generation based on a Model-Driven Software Platform (Master Thesis [Slides (PDF)])
- Scalable Graph-RAG-based Knowledge System for Domain-Specific Workflow Automation with LLMs (Master Thesis [Slides (PDF)])
- Synthetic Data Creation for Training LLMs on Domain-Specific Knowledge (Master Thesis [Slides (PDF)])
- Training LLMs on a Domain-Specific Knowledge Base with Reinforcement Learning (Master Thesis [Slides (PDF)])
- Development of a Simulation Platform with LLM Integration for Intelligent Manufacturing (Master Thesis [Slides (PDF)])
2024
- LLM-Powered Automation of Robotic Tasks in Warehouse Systems (Research Project [Slides (PDF)])
- Investigation of Textual Representation Methods for Improved Data Interpretation by LLMs in Engineering (Master Thesis [Slides (PDF)])
- A Comprehensive Benchmark System for Evaluating LLM Performance in Industrial Automation (Master Thesis [Slides (PDF)])
- Evaluating PDDL-Based and LLM-Based Task Planning of Robot Behavior for Production Processes (Research Project [Slides (PDF)])
- Automating Safety and Risk Management with LLM Agents (Master Thesis [Slides (PDF)])
- Fine-Tuning LLMs for Enhanced Semantic Interpretation of Microservices in Automation Systems (Research Project [Slides (PDF)])
- Transforming Vehicle User Manuals into an Interactive AI Chatbot Powered by LLMs (Research Project [Slides (PDF)])
- Synthetic Training Data Creation for Supervised Fine-Tuning of LLMs for Autonomous Production Planning (Master Thesis [Slides (PDF)])
- Integrating LLM Agents with Embedded Systems for Smart Oven Control (Master Thesis [Slides (PDF)])
- Survey on LLMs for Applications in Industrial Automation and Software Engineering (Research Project [Slides (PDF)])
2023
- Large Language Models for OPC UA Server Data Retrieval (Research Project [Slides (PDF)])
- Generation of Simscape Models Using Large Language Models (Bachelor Thesis)
- Refining Automation Systems for Enhanced Modular Control (Master Thesis [Slides (PDF)])
- Interpretability Study of LLMs with Probing Techniques (Research Project [Slides (PDF)])
- Evaluation of Quantized LLMs for Semantic Interpretation and Reasoning in Industrial Automation (Research Project [Slides (PDF)])
- Prompt Optimization with a Dual GPT-Agent Feedback System (Research Project [Slides (PDF)])
- Automated Test Scenario Generation for Autonomous Driving from Accident Reports (Research Project [Slides (PDF)])
- Investigation of the Explainability of LLM-Generated Results (Research Project [Slides (PDF)])
- Semantic Modeling and Automated Skill Matching Using Neural Language Models (Master Thesis [Slides (PDF)])
- Experimental Evaluation of LLMs for Semantic Matching in Automation Systems (Research Project [Slides (PDF)])
- Development of an Enterprise Architect Plugin for Simulink Model Generation (Research Project)
- Development of a Knowledge Management System Powered by LLMs (Master Thesis [Slides (PDF)])
2022
- Capability Modeling of a Production System Using a Machine Tool Example (Master Thesis [Slides (PDF)])
- Development of a digital twin with a semantic query and command interface for a modular production facility (Master Thesis [Slides (PDF)])
- Development of a Data Parser for Extracting Information from Technical Documents with Text Mining Methods (Research Project [Slides (PDF)])
- Generation of a Knowledge Graph from Textual Data for Describing Causal System Behaviors (Master Thesis [Slides (PDF)])
- Training of General Neural Language Models for Automated Semantic Interpretation of Data Properties (Master Thesis [Slides (PDF)])
- Activity Recognition Based on Acceleration Sensor Data for a Bottle Opener (Research Project)
- Determination of User Behavior during Power-Tool Usage Based on Measurement Data (Master Thesis)
2021
- Evaluation of Foundation Models for Semantics-Based Classification of Standardized Data Properties (Research Project [Slides (PDF)])
- Development of a Graph Database to Manage Concept Descriptions in Automation Engineering (Master Thesis [Slides (PDF)])
- Development of an ontology model for semi-automated data integration of sensor components into production systems (Master Thesis [Slides (PDF)])
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Yuchen Xia
Institute of Industrial Automation and Software Engineering University of Stuttgart
Pfaffenwaldring 47
70550 Stuttgart, Germany
Email: yuchen.xia@ias.uni-stuttgart.de