Skip to content
View ziaee-mohammad's full-sized avatar

Block or report ziaee-mohammad

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
Ziaee-Mohammad/README.md

Mohammad Ziaee

👋 Hi, I'm Mohammad Ziaee

AI & Data Science Researcher
Computer Vision • NLP • Bioinformatics • Robotics


🎓 About Me

I’m a graduate student in Computer Science passionate about applying AI and Data Science to solve real-world problems. I’ve worked on various projects across computer vision, natural language processing, and bioinformatics, with additional interests in robotics and intelligent systems. 

As I build my GitHub profile, I plan to gradually share both my past and ongoing work here. I’m also eager to share my experiences and learn from others in the AI and data science community.


🎓 Education

  • M.Sc. Student in Computer Science
    University of Wisconsin–Milwaukee (UWM), USA
    Focus Areas: Artificial Intelligence and Intelligent Systems

  • B.Sc. in Computer Engineering (Artificial Intelligence)
    Mazandaran University of Science and Technology (Mazust), Iran
    Focus Areas: Artificial Intelligence and Robotics


🚀 Technical Skills & Interests

  • Programming: Python, C++, JavaScript, PHP, MATLAB
  • Data Analysis & Visualization: Pandas, NumPy, Matplotlib, Seaborn
  • Machine Learning: Regression, SVM, Decision Trees, Random Forest (scikit-learn)
  • Deep Learning: TensorFlow, PyTorch, Keras
  • Computer Vision: OpenCV, image processing, object detection
  • Natural Language Processing (NLP): NLTK, text preprocessing, tokenization
  • Robotics: Python-based robot control, Arduino, ROS
  • Web Development: JavaScript (React.js), PHP (Laravel)

📫 Get in Touch


Python TensorFlow Keras PyTorch PowerBI OpenCV Scikit-Learn

Pinned Loading

  1. SigLIP-Person-Finder SigLIP-Person-Finder Public

    An AI-powered person search system that uses SigLIP and YOLOv8 to find individuals in images or videos based on natural language descriptions, featuring automatic dataset creation, multimodal embed…

    Jupyter Notebook

  2. Road-Anomaly-Detection Road-Anomaly-Detection Public

    SmartRoad Vision is a YOLOv8-based deep learning project for detecting road anomalies potholes, cracks, and speed bumps from custom-labeled images, improving infrastructure inspection and smart cit…

    Jupyter Notebook

  3. Chest-Xray-Multilabel-Disease-Detection Chest-Xray-Multilabel-Disease-Detection Public

    Deep learning model for multi-label thoracic disease detection from chest X-ray images using ResNet-50 and Grad-CAM visualization on the NIH ChestXray14 dataset.

    HTML

  4. Alzheimer-MRI-Prediction Alzheimer-MRI-Prediction Public

    MRI-based Alzheimer’s prediction with classical ML and CNNs on the OASIS dataset. Includes Grad-CAM visualization, model comparison (KNN, SVM, MLP, CNN, ensembles), and rigorous evaluation (ROC-AUC…

    Jupyter Notebook

  5. Persian-Sentiment-Analysis Persian-Sentiment-Analysis Public

    A Flask-based web app for sentiment analysis of Persian (Farsi) reviews, trained on the SnappFood dataset, using XGBoost and Hazm.

    Jupyter Notebook

  6. Malonic-Acid-Detection Malonic-Acid-Detection Public

    Deep learning model for detecting Malonic Acid presence using spectroscopic and protein sequence data with CNN-based feature extraction.

    Jupyter Notebook