CV

Education

• Ph.D., Technical University of Munich, Data Science in Earth Observation present
• M.Sc., Technical University of Munich, Data Science and Remote Sensing (ESPACE) 10/2021 – 03/2024
• B.Sc., Shandong University of Science and Technology, Remote Sensing Science and Technology, 09/2017 – 07/2021

Work experience

• Research Associate, Technical University of Munich
  05/2024 – 07/2025

• Master’s Thesis, Technical University of Munich & DLR 05/2023 – 12/2023

• Research Assistant, Data Science in Earth Observation, TUM
  10/2022 – 03/2024

• Teaching Assistant, Photogrammetry and Remote Sensing, TUM
  10/2023 – 02/2024

Skills

• Machine Learning
  • Generative AI, Diffusion Models, Representation Learning
• Programming
  • Python (advanced), MATLAB, C++, JavaScript
• Frameworks
  • PyTorch, TensorFlow, TorchGeometric, OpenCV
• Tools
  • GitHub, Docker, JupyterLab, VS Code
• Other
  • LaTeX, Microsoft Office

Publications

GEWDiff: Geometric Enhanced Wavelet-based Diffusion Model for Hyperspectral Image Super-resolution

HYPERFUSE: Spectral-Spatial Fusion for Hyperspectral Remote Sensing

Weak–Strong Graph Contrastive Learning Neural Network for Hyperspectral Image Classification

KI-basierte Modellierung urbaner Hochwasserprozesse im Kontext von Starkregenereignissen (AI-based modeling of urban flooding processes in the context of heavy rainfall events)

Teaching

Master Thesis Supervision

Remote Sensing Seminar Supervision - Generative Models Survey

Teaching Assistant for Photogrammetry - Selected Chapters

Service and awards

• Journal Reviewer
  • IEEE Transactions on Image Processing (TIP)
  • IEEE Transactions on Geoscience and Remote Sensing (TGRS)
  • IEEE Geoscience and Remote Sensing Magazine (GRSM)
  • IEEE Geoscience and Remote Sensing Letters (GRSL)
• Awards
  • Outstanding Graduate of Shandong Province (Top 5%), 2021
  • First Prize, “Discovery Cup” National Software Design Competition (East China), 2020
  • National Third Prize, ESRI Cup GIS Competition, 2019

Hobby

Violin