CV

Contact Information

Name Zewen Yang
Professional Title Senior Researcher Scientist
Email 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

  • 2026 - present

    Munich, Germany

    Senior Research Scientist
    Agile Robots SE
    • Worked on agentic freamworks for robotic systems
    • Investigated world models for manipulation tasks
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 2014 - 2014

    Harbin, China

    Automation Engineer
    Harbin Turbine Co., Ltd.
    • CNC lathe programming, quality inspection

Education

  • 2019 - 2022

    Munich, Germany

    Ph.D.
    Technical University of Munich (TUM)
    Machine Learning and Control Theory
  • 2017 - 2019

    Harbin, China

    Ph.D.
    Harbin Engineering University
    Control Science & Engineering
  • 2014 - 2017

    Harbin, China

    Master of Engineering
    Northeast Forestry University
    Mechanical and Electrical Engineering

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

Awards

Interests

Fitness: Strength Training, Running, Hiking
Movies: Sci-Fi, Documentary, Action, Comedy, Drama
Music: R&B, Hip-Hop, Electronic