Undergraduate student in Software Engineering at Wuhan University of Technology.
Interested in machine learning, AI agents, robotics, optimization, and biomedical AI.
I am a B.Eng. candidate with project experience in data modeling, machine learning, optimization algorithms, robotics simulation, and GPU-accelerated signal processing. My recent work focuses on building reproducible modeling pipelines, evaluating model performance, and connecting algorithmic methods with practical decision-making or perception tasks.
I am currently strengthening my research foundation in reinforcement learning, AI agents, and learning-based decision-making systems.
- Large language models, generative AI, and AI agents
- Machine learning for decision-making and optimization
- Robotics perception, simulation, and embodied AI
- Biomedical AI and interpretable data modeling
- GPU acceleration and radar / sensor signal processing
Built a multi-stage modeling pipeline covering feature preprocessing, segmented regression, timing optimization, and classification. The project used GA-DP, NSGA-DP, XGBoost, SMOTE, class weighting, PR/ROC analysis, and SHAP-based interpretability.
Developed OpenCL-based GPU-parallelized operators for maritime radar signal processing. Work included CFAR pipeline optimization, memory-layout adaptation, workload tiling, and latency reduction for small-input real-time processing scenarios.
Developed ROS 2 modules in Gazebo for autonomous navigation, sensor integration, sample collection, and return-to-base task execution. The system combined vision-based object recognition, mmWave radar perception, obstacle handling, and task-level path planning.
Exploring Cellpose / Cellpose-SAM for cell and nucleus segmentation workflows, with an emphasis on understanding image preprocessing, segmentation baselines, and evaluation settings.
Programming and Data Processing
Python, Java, C/C++, SQL, NumPy, pandas, scikit-learn, XGBoost, imbalanced-learn, SHAP, basic PyTorch
Modeling and Optimization
Regression, LASSO, GA, NSGA-II, Dynamic Programming, Monte Carlo Simulation, Sensitivity Analysis, Cross-validation, PR/ROC Analysis, F1-score Evaluation
Systems, Robotics, and GPU
Linux, Git, Docker, OpenCL, ROS 2, Gazebo
Research Workflow
LaTeX, Markdown, reproducible experiment documentation, technical report writing
