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mrhashx/README.md

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💫 About Me

👋 Hello! I'm Abdolhossein Maniee, a Graduate Student in Artificial Intelligence deeply invested in solving complex real-world computer vision and medical image diagnostic challenges.

🎯 My research environment bridges deep mathematical tensor transformations with production-grade deep learning pipelines, optimizing networks for precise diagnostic analytics and high-dimensional feature selection.

⚡ Fast, modular, and performance-driven development is my core engineering philosophy.

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🛠️ Skills & Technologies

TensorFlow Keras Scikit-Learn Python NumPy Pandas OpenCV Git Linux

🔬 Featured Projects Showcase

🏥 Brain Tumor Deep Learning Pipeline
Deploys custom multi-stage Transfer Learning and Fine-Tuning across VGG16, ResNet50, and InceptionV3 grids to isolate multi-class tissue anomalies from raw Brain MRI scans.

🎛️ Digital Image Processing Toolkit
A mathematically rigorous image matrix architecture implementing custom 2D spatial convolutions, edge padding styles, and manual Fourier lowpass attenuation filtering.

🏡 Ames Housing Price Predictor
Optimizes tabular modeling via ColumnTransformer feature scaling, non-linear log transformations, and embedded Adaptive Lasso feature penalization configurations.

💬 Semantic Content Moderation
An advanced natural language pipeline combining PorterStemmer normalization and unigram/bigram sublinear TF-IDF vectorizers with high-margin text classifiers.

📊 Analytical Insights & GitHub Metrics

GitHub Stats Top Languages

🧲 Connect & Collaborate

GitHub   Email   Telegram   Instagram

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  1. digital-image-processing-toolkit digital-image-processing-toolkit Public

    A production-grade Digital Image Processing (DIP) Toolkit implementing spatial transformations, manual 2D convolution padding modes, and advanced Fourier frequency filters (Ideal, Butterworth, Gaus…

    Python

  2. wsn-multi-objective-optimization-evolutionary wsn-multi-objective-optimization-evolutionary Public

    A unified multi-objective evolutionary optimization architecture benchmarking NSGA-II, NSGA-III, MOEA/D, and SPEA2 using Hypervolume indicators to resolve WSN spatial constraints.

    Python

  3. genetic-programming-feature-extraction genetic-programming-feature-extraction Public

    An evolutionary machine learning framework utilizing Genetic Programming to evolve mathematical expression trees for non-linear feature extraction, benchmarking Naive Bayes and DBSCAN topologies.

    Python

  4. evolutionary-optimization-genetic-toolkit evolutionary-optimization-genetic-toolkit Public

    A modular, object-oriented Evolutionary Computation Toolkit implementing custom binary Genetic Algorithms to solve the 0/1 Knapsack Problem and high-dimensional function optimization.

    Python

  5. covid19-xray-cnn-classifier covid19-xray-cnn-classifier Public

    A comparative medical computer vision pipeline benchmarking a custom 4-stage CNN against a pre-tuned VGG16 model to detect COVID-19 from Chest X-Ray radiographies.

    Python

  6. Machine-Learning Machine-Learning Public

    Human Activity Recognition (HAR) using PCA, SVM, and Logistic Regression with 94%+ accuracy.

    Python