Zijin Su
CV

About Me

I am a PhD student at the Institute of Space and Earth Information Science (ISEIS), The Chinese University of Hong Kong, supervised by Prof. Peifeng Ma. I hold an MSci Physics degree from University College London. My research interests span planetary remote sensing, satellite technology, and space technology.

I am interested in combining machine learning with physical insight to interpret planetary observations. My previous work spans sea-ice radar altimetry with Dr. Michel Tsamados at UCL's Centre for Polar Observation and Modelling (CPOM), natural-hazard remote sensing, and astronomical image analysis.

  • Planetary Remote Sensing
  • Satellite Technology
  • Space Technology
  • Scientific Machine Learning
  • Radar Altimetry
  • InSAR
  • Natural Hazards
  • Astronomical Imaging

News

All news
  • Joined CUHK ISEIS as a PhD student.
  • Started work on a new neural-operator framework for thickness inversion.
  • A new manuscript has been submitted to Geophysical Research Letters (GRL).

Research

Ongoing

Learning-Based Analysis of Landslide Dynamics

Investigating learning-based methods for analysing terrain change and landslide behaviour, with applications to natural-hazard assessment.

Selected Publications

All publications

  1. Deep Learning for Radar Altimetry Echo Generation in Sea Ice Surface Image Recognition

    Zijin Su†, Michel Tsamados*, et al.

    Preparing for submission, 2026.

  2. LATED: Lyα-anchored photometric selection of candidate metal-free and extremely metal-poor star formation from the end of reionisation to cosmic noon

    Mingyu Li et al. (including Zijin Su).

    arXiv, 2026. Co-author; preprint.

    arXivPDF

†First author; *corresponding author.

Education & Experience

The Chinese University of Hong Kong

Institute of Space and Earth Information Science (ISEIS)

PhD Student

Supervisor: Prof. Peifeng Ma

College of Urban and Environmental Sciences, Peking University

Research Assistant, Natural Hazards Remote Sensing Lab (NHRS)

Supervisor: Prof. Xie Hu

Centre for Polar Observation and Modelling, UCL

Research Assistant, fully AI-driven retracking products for CRISTAL

Supervisor: Dr. Michel Tsamados

Centre for Polar Observation and Modelling, UCL

Research Assistant, deep learning for altimetry echo generation

Supervisor: Dr. Michel Tsamados

Department of Astronomy, Tsinghua University

Research Assistant, JWST data analysis and modelling

Supervisor: Prof. Zheng Cai

Co-author of LATED (arXiv, 2026)

University College London

MSci Physics

Technical Skills

Scientific Machine Learning
Physics-informed and multimodal learning, conditional generative modelling, neural operators, and learning-based inversion for satellite and planetary observations.
Remote Sensing
SAR altimetry, InSAR, Sentinel-1/2/3 data, Pixel Offset Tracking (POT), radar waveform morphology, and physics-informed machine learning.
Scientific Workflows
Python, MATLAB, NumPy, Pandas, SciPy, xarray, Matplotlib, NetCDF/HDF workflows, and geospatial preprocessing.
NLP & Data-Centric AI
Multi-label classification, long-tail data balancing, weak labelling, and agentic research workflows.