Xinhai Han

Xinhai Han

Artificial Intelligence, Remote Sensing, and Extreme Oceanic Climate Events such as Tropical Cyclones/Storm Surges

Xinhai Han is currently a Ph.D. student at the School of Oceanography, Shanghai Jiao Tong University. His primary research focuses on the integration of artificial intelligence with extreme climate analysis.

His research interests mainly include:

  • Utilizing GANs to improve observational data accuracy and reconstruct 2D/3D tropical cyclone structures. News Reports | News Reports
  • Implementing GANs and RNNs for spatiotemporal sequence prediction of tropical cyclones and sea surface winds. News Reports
  • Applying GCNs to predict storm surges caused by tropical cyclones, aiding in disaster preparedness and response.

Education

Shanghai Jiao Tong University (State Key Laboratory), Shanghai, China, 09/2021 – 06/2026

  • Direct Ph.D. Program in Science

Dalian Maritime University (211 & Double First-Class University), Dalian, China 09/2017 – 06/2021

  • B.Sc. in Management Information Systems, Professional comprehensive ranking: 1/89, Excellent Graduates in Dalian
  • Main Courses: C, C++, Java, Python, SQL, Data structures, Statistics, Discrete mathematics, Operating systems

Invited Presentaions

IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2024). Athens, Greece, 2024.

  • Evaluating FY-3E GNOS-II Global Wind Product for Nearshore and Open Ocean: A Study Utilizing NDBC and TAO/TRITON Buoy Data.

Academic Conference of China Instrument and Control Society. Shanghai, China, 2022.

  • Lake surface roughness measurements from video images.

Skills

  • Programming Languages: Python, C++, Java, Matlab, SQL.
  • Deep Learning Frameworks: Proficient in PyTorch, TensorFlow, with experience in computer vision tasks. Experienced in supervised fine-tuning (SFT) of multimodal large models. Familiar with model deployment workflows.
  • High-Performance Computing: Practical experience with HPC clusters for deep learning model training and optimization.
  • Data Processing: Experienced in web scraping, data cleaning, analysis, database design, and data visualization using HTML, CSS, XML, JSON, and related tools.
  • Platforms \& Environments: Familiar with VS Code, Eclipse, Jupyter Notebook, JetBrains IDEs, and proficient in Windows, Linux, and MacOS operating systems.
  • Media \& Graphics: Experienced in video editing, image post-processing, and design using Adobe Photoshop, Premiere Pro, and Final Cut Pro.