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rasoulameri/README.md

Hi there 👋, I'm Rasoul Ameri

🎓 PhD Candidate in Artificial Intelligence | 💻 Machine Learning Engineer | 🧠 AI Researcher

I build intelligent, interpretable, and efficient AI systems that combine deep learning, computer vision, time-series forecasting, and signal processing — transforming data into insight and impact.


🧩 About Me

  • 🔬 Researching AI for Healthcare, Explainable Multimodal AI, and Time-Series Forecasting
  • ⚙️ Experienced in Deep Learning, Transformer Architectures, and Reinforcement Learning.
  • 💡 Passionate about bridging research and practical applications in Computer Vision.
  • 🌍 Based in Taiwan | 🌱 Constantly exploring PyTorch, Vision Transformers, and MLOps
  • 📫 Reach me via: rasoulameri.github.io/

🧠 Professional Skillset

PyTorch    TensorFlow    Keras    OpenCV    Python    C++    JavaScript    Flask    Django    MySQL    Git


🛠️ Tools I Use

Windows    Linux    VS Code    Slack


👁️ Computer Vision Projects

Name Description Repository
CV_1 UNet-based segmentation for detecting carina and ETT tip placement in medical images. Repo Link
CV_2 Hybrid CNN–Transformer (ViT) framework for industrial surface defect detection and segmentation. Repo Link

🧮 Machine Learning

Name Description Repository
ML_1 AI programming and XAI with Python: data cleaning, model training, and SHAP-based explainability. Repo Link

🧠 Deep Learning Projects

Name Description Repository
DL_1 CNN-based digit classification in PyTorch with Grad-CAM XAI and confusion matrix visualization. Repo Link

📈 Time Series Forecasting Projects

Name Description Repository
TSF_1 Hybrid ML framework for river discharge forecasting using ensemble models and AOA hyperparameter tuning. Repo Link

〰️ Signal Processing Projects

Coming soon...


📈 GitHub Analytics


🤝 Let's Connect


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  1. Machine_Learning Machine_Learning Public

    AI Programming Using Python – Workshop materials covering data preprocessing, machine learning, and explainable AI (SHAP)

    Jupyter Notebook 2

  2. Digits_Classification_XAI Digits_Classification_XAI Public

    A complete, straightforward digit classification project built with PyTorch, featuring CNN-based training, evaluation metrics, confusion matrix visualization, and XAI using Grad-CAM.

    Jupyter Notebook 2

  3. ETT_Carina_Segmentation ETT_Carina_Segmentation Public

    Implements a UNet-based medical image segmentation framework for precise detection of the carina and endotracheal tube tip, supporting automated clinical evaluation of airway placement.

    Python 1

  4. River_Discharge_Regression River_Discharge_Regression Public

    A hybrid machine learning framework for river discharge forecasting that combines ensemble regression models with the Arithmetic Optimization Algorithm (AOA) for hyperparameter tuning and next-day …

    Python 1

  5. Defect_Segmentation Defect_Segmentation Public

    A hybrid CNN–Transformer framework for precise industrial surface defect detection and segmentation, integrating Vision Transformer (ViT) with convolutional modules to effectively capture both loca…

    Python 2