CV
Contact Information
| Name | Zewen Yang |
| Professional Title | Senior Researcher Scientist |
| zewenreal@gmail.com | |
| Location | Plinganserstraße 134, München, Bavaria 81369 |
Professional Summary
I am a Senior Research Scientist at Agile Robots, Munich, working on AI and Robotics, and a Ph.D. holder in Control Science & Engineering from the Technical University of Munich (TUM) and Harbin Engineering University. My expertise lies in the fields of Multi-Agent System, Generative Models, Robotics, Bayesian Learning, and Control Theory.
Experience
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2026 - present Munich, Germany
Senior Research Scientist
Agile Robots SE
- Worked on agentic freamworks for robotic systems
- Investigated world models for manipulation tasks
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2025 - 2025 Munich, Germany
Postdoctoral Researcher
Munich Institute of Robotics and Machine Intelligence (MIRMI), TUM
- Teaching Curriculum: Advanced Robot Control and Learning
- Federal Ministry of Education and Research, Germany — 6G-life: 6G Communication Networks with a Focus on Human-Machine Collaboration (€70 Million)
- Proposed safe motion planning of robots with generative models (Diffusion/Flow Matching models)
- Developed algorithms of cloud-based high-frequency control for bilateral teleoperation
- Designed novel one-shot imitation learning algorithms for robotic systems
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2023 - 2024 Berlin, Germany
Postdoctoral Researcher
Robert Koch Institute — Center for Artificial Intelligence in Public Health Research
- Teaching Curriculum: Advanced Data Visualization for (Explainable) AI
- Federal Ministry of Health, Germany — AI-DAVis-PANDEMICS: AI-supported Data Analysis & Visualization of Pandemics (€1.78 Million)
- Built a real-time audience-centric web app for pandemic surveillance with ML-based data analysis
- Proposed a nested framework for ML models’ design and validation considering AI regulations
- Designed interpretable molecular encodings and representations for machine learning tasks
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2022 - 2023 Berlin, Germany
Data Scientist
Data Science Retreat
- Statistical Learning: evaluated time series models via MLflow for forecasting the spread of disease; built a churn prediction model with data pre-processing and feature engineering
- Deep Learning: real-time object detection, action detection and gesture analysis for sign language recognition; trained image classification models using vision transformers
- Natural Language Processing: extracted and visualized character relationships via named entity recognition; used node and word embeddings to recommend research collaborators; fine-tuned language models for segmentation and text-generation tasks with GPT
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2019 - 2022 Munich, Germany
Research Associate
Technical University of Munich — Chair of Information-oriented Control
- Supervised 10+ student theses, several achieving the highest German grade (1.0)
- Teaching Curriculum: Advanced Control and Robotics
- European Union’s Horizon 2020 — SeaClear: Search, Identification and Collection of Marine Litter with Autonomous Robots (1.0: €5 Million, 2.0: €9 Million)
- Developed a data-driven model for Autonomous Underwater Vehicles (AUVs) with uncertainty quantification
- Created a simulation platform for conducting control tests of AUVs
- Contributed to hardware tests at Marseilles and Hamburg ports (e.g., bottle grabbing and vehicle recycling)
- European Union’s Horizon 2020 — REHYB: Rehabilitation Based on Hybrid Neuroprosthesis (€7 Million)
- Built a digital twin for real-time monitoring of human motion
- Detected abnormal movements using deep neural networks with multiple sensors
- Investigated the safe control of human muscles by FES to achieve functional movements
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2017 - 2022 Harbin, China
Principal Investigator / Doctoral Researcher
Harbin Engineering University — College of Intelligent Systems Science and Engineering
- Ph.D. Student Research & Innovation Fund of Fundamental Research Funds for Central Universities: Research on the Coordinated Control Method of AUV Swarm (¥70k)
- Led a research team and completed the project with top-tier publications
- Proposed novel formation control methods for AUV swarm using the consensus algorithm
- National Natural Science Foundation of China & National Key Innovation Project: Environmental Prediction & Task Reconfiguration of AUV for Covert Operations in the Coastal Sea (¥600k); Overall Technology Scheme of the Multiple AUVs System (¥50 Million)
- Developed advanced control algorithms for underactuated AUVs
- Investigated obstacle avoidance and recovery docking approaches for AUVs
- Authored a chapter titled “Reliability Analysis & Design Technology of AUV” in Control Technology of AUV
- Ph.D. Student Research & Innovation Fund of Fundamental Research Funds for Central Universities: Research on the Coordinated Control Method of AUV Swarm (¥70k)
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2016 - 2017 Suzhou, China
Test & Analysis Engineer
Suzhou Electrical Apparatus Science Academy Co., Ltd.
- Implemented experiment tests to analyze various characteristics of fiber-optic current transformers
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2014 - 2014 Harbin, China
Education
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2019 - 2022 Munich, Germany
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2017 - 2019 Harbin, China
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2014 - 2017 Harbin, China
Skills
AI Tools: Pi, Cursor, Codex, Perplexity
Programming & Markup Languages: Python, Matlab & Simulink, Julia, C++, JavaScript, TypeScript, SQL, HTML, CSS, LaTeX, Markdown
Machine Learning: PyTorch, JAX, TensorFlow, Keras, Hugging Face, scikit-learn, statsmodels, Unsloth, Transformers/Tokenizers/PEFT/TRL (Hugging Face), openai, spaCy, NLTK, Gensim
Robotics: Isaac Sim/Lab, MuJoCo, ROS, Gazebo, LeRobot, OpenCV, Qualisys
Web & Front-end: Next.js, Vite, React, Tailwind CSS, shadcn/ui, Aceternity UI, Figma
Back-end & Database: Django, Flask, FastAPI, Postman, Selenium, MySQL, PostgreSQL
Visualization: D3.js, Vega-Lite/-Altair, Observable, Plotly, Matplotlib, seaborn, GeoPandas, NumPy, Pandas
Cloud & Hosting Tools: Git, GitHub, GitLab, Docker, AWS, Streamlit, Render, Heroku, Colab, Overleaf, Notion, Obsidian, Jira
Languages
English : Fluent
Chinese : Native
German : Basic
Publications
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See the full list on my Publications page.
Awards
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See the full list on my Awards page.
Interests
Fitness: Strength Training, Running, Hiking
Movies: Sci-Fi, Documentary, Action, Comedy, Drama
Music: R&B, Hip-Hop, Electronic