Xin Lin

Xin Lin

Xin Lin 「林鑫」

Hi! I am a Master’s student in Hydrology at China University of Geosciences (Wuhan), advised by Xin Li. Prior to this, I received my Bachelor’s degree in Geographic Information Science at Xi’an University of Science and Technology, where I graduated with honors as an Outstanding Graduate with an Outstanding Thesis

Goal: Apply deep reinforcement learning to solve complex problems in earth systems science.

Research Interest: GeoAI、 Deep reinforcement learning 、 earth system science 、 hyperspectral image processing

Research Question: How can we use reinforcement learning to play a greater role in Earth system decision-making?

Passion: I am passionate about using AI and data-driven approaches to address critical challenges in geosciences and environmental systems.

Email: peter.org3s@gmail.com

News

  • [06/2023] Started Master’s program at China University of Geosciences (Wuhan).
  • [06/2023] Graduated as Outstanding Graduate with Outstanding Thesis from Xi’an University of Science and Technology.
  • [08/2023] Joined the Third Pole Environment and Big Data Center, CAS, for joint training.
  • [11/2023] Presented paper on hyperspectral image reconstruction at ICIG 2023.

Selected Publications

See Publications page for a complete list.

Projects

GISphere

GIS-info-LLM Project

GISphere Institute

Contributing to an open-source project using web crawling and large language models (GPT) to collect and analyze faculty recruitment information from North American GIS institutions, providing comprehensive resources for GIS professionals and students.

Technical Skills

Programming Languages: Python (Primary), MATLAB, LaTeX, Java

Machine Learning Frameworks: PyTorch, NumPy, Pandas, Stable-Baselines3, OpenAI Gym

GIS & Remote Sensing Software: ENVI, ArcGIS, MapGIS

Data Analysis: Spatiotemporal analysis, statistical modeling, data visualization

Collaboration

I am always open to collaborations and discussions on topics related to deep reinforcement learning, earth system science, and remote sensing. Feel free to reach out via email!