Hello! I'm Ruichen Zhou, a passionate researcher and developer with a love for coding and technology. I enjoy working on geophysical and environmental analysis using advanced data processing and machine learning techniques.
- 🔭 I’m currently working on: Ph.D. in Surveying and Mapping
- 🌱 I’m currently learning: Deep Learning and its applications in geophysics
- 👯 I’m looking to collaborate on: Research projects related to satellite altimetry and remote sensing
- 🤔 I’m looking for help with: Advanced machine learning techniques for geophysical data
- 💬 Ask me about: Geophysical simulations, satellite altimetry, and data processing
- 📫 How to reach me: [email protected]
- 😄 Pronouns: He/Him
- ⚡ Fun fact: I love hiking and exploring new places
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Ph.D. in Surveying and Mapping (2024--Present)
University of Chinese Academy of Sciences
Supervisor: Haoming Yan, Researcher -
M.S. in Surveying and Mapping Engineering (2021--2024)
Shandong University of Science and Technology
Supervisor: Jinyun Guo, Prof. -
B.S. in Surveying and Mapping Engineering (2017--2021)
Linyi University
- Zhou, R., Guo, J., Ya, S., Sun, H., and Liu, X. (2025). SDUST2023VGGA: A Global Ocean vertical gradient of gravity anomaly model determined from multidirectional data from mean sea surface. Earth System Science Data. (Accept)
- Zhou, R., Guo, J., Ya, S., Sun, H., & Liu, X. (2024). SDUST2023VGGA (V1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.14177000
- Zhou, R., Liu, X., Guo, J., Hwang, C., Jia, Y., Chang, X., & Sun, H. (2024). Inverting vertical gravity anomaly gradients using multidirectional data from mean sea surface model: A case of Arabian Sea. Earth, Planets and Space, 76(1). https://doi.org/10.1186/s40623-024-02105-5
- Zhou, R., Liu, X., Li, Z., Sun, Y., Yuan, J., Guo, J., & Ardalan, A A. (2023). On performance of vertical gravity gradient determined from CryoSat-2 altimeter data over Arabian Sea. Geophysical Journal International, 234(2), 1519-1529. https://doi.org/10.1093/gji/ggad153
- NSFC Project, Researcher (2021--2024)
Waveform Reprocessing for Coastal Satellite Altimetry Using Singular Spectrum Analysis - NSFC Major Project, Researcher (2021--2024)
Fine Modeling of Global Seabed Topography for Gravity Field Applications - NSFC Project, Researcher (2021--2024)
New Method for All-Weather Measurement of Deflection of the Vertical Using 3D Laser Tracking Technology
- Programming Languages: Python (NumPy, Pandas, TensorFlow, PyTorch), MATLAB (Signal processing, Geophysical simulations), C# (WinForms, .NET)
- Data Processing & Machine Learning: Machine Learning (Regression, Clustering, Neural networks), Deep Learning (CNNs, RNNs), Statistical Analysis (Multivariate analysis, Hypothesis testing, Time series analysis), Data Visualization (Matplotlib, Seaborn, Tableau)
- Tools & Technologies: Git, Docker, GMT, ArcGIS, Google Earth Engine, Jupyter Notebooks, LaTeX
Research on applying deep learning to satellite altimetry and remote sensing data for enhanced environmental and geophysical analysis.
Last updated in February 2025