Research interests

Three pillars of water intelligence.

The research connects predictive intelligence, environmental process understanding, and systems that can operate beyond the laboratory.

Intelligent water monitoring
01

AI-driven Water Quality Forecasting

Transferable, interpretable, and long-term prediction of critical water-quality variables across monitoring regimes.

02

Watershed-scale Environmental Modeling

Modeling hydrological and water-quality dynamics across complex basins, marine ranches, and monitoring networks.

03

Embedded Intelligence for Water Systems

Deployable sensing, GNSS, sensor fusion, and UAV platforms that connect environmental models to field operations.

Methods and tools

Across models, environments, and hardware.

Programming & Algorithms

  • Deep Learning Model Design & Implementation
  • Multivariate Time Series Forecasting
  • Transformer-based Time Series Models
  • Graph Convolutional Networks (GCN)
  • Multiscale Signal Decomposition & Feature Extraction
  • Machine Learning Modeling & Validation
  • Active Learning & Information Theory
  • Environmental Data Cleaning & Anomaly Detection

Hydrology & Environmental Sensing

  • Watershed Hydrology & Water Quality Multivariate Prediction
  • Critical Water Quality Parameters Forecasting
  • Long-term Dissolved Oxygen Forecasting
  • Marine Ranch Sensor Fusion
  • Smart Fisheries Intelligent Decision Systems
  • Multi-source Heterogeneous Environmental Data Modeling
  • Watershed Monitoring Network Optimization
  • Cross-basin Transfer Learning Frameworks

Embedded & Hardware Systems

  • STM32 / MSP432 / MSP430 Firmware Development
  • Beidou GNSS Positioning Software Integration
  • SDK Development
  • PCB Design & Schematic Layout
  • Quadcopter Flight Control Systems
  • Sensor Fusion & Attitude Estimation (IMU, Barometer, Optical Flow)
  • Kalman Filtering, Quaternion Math, Cascade PID Tuning
  • Telemetry & Data Transmission Systems

Computer Vision & Multi-modal Analytics

  • Underwater Image Segmentation
  • Vision Transformer (ViT)
  • Convolutional Neural Networks (CNN)
  • Image-Numerical Multimodal Data Fusion
  • Marine Ranch Sensing & Analytics