Projects

Here, I have listed some of my works, based on their applications. Please click on each topic to go the main project idea and its implementation.

• Time Series/ Sequence Analysis

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  • 	Forward Forward algorithm on speaker identification. Main idea Code Forward-Forward Algorithm Speaker Identification Time Series Deep Learning PyTorch Here I have implemented the forward-forward algorithm for the time series (speech) data... Python, Pytorch
    	Automatic Speech Recognition (ASR) using hybrid attention + CTC model. Main idea Code Automatic Speech Recognition CTC CRDNN Attention SpeechBrain Using CRDNN model and CTC loss for ASR task. Python, speechbrain
    	Generative Language Model Main idea Code Generative Language Model Transformer Text Generation Deep Learning Here a transformer-based model is used to learn the distribution of text data and finally generate related data, as samples. Python, speechbrain
    	Machine Translation Main idea Code Machine Translation Seq2Seq GRU Encoder-Decoder Attention Machine translation task is implemented using a seq2seq model and a GRU-based Encoder/Decoder with Attention. Python, speechbrain

• Brain Decoding

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    Brain Decoding Using Connectivity Informed Models

    Main idea Code Jupyter Book Slides

    Brain Decoding Graph Neural Network fMRI Task Classification Connectivity

    Brain decoding is a procedure for discovering the brain activity, based on its encoded data. Here a graph neural network approach has been used for training, and task classification of encoded data.

• Image Denoising

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    Image Multiplicative Noise Removal Using Statistical Modeling In The Shearlet Domain. (M.Sc. Thesis)

    Main idea Code

    Multiplicative Noise Removal Shearlet Transform Statistical Modeling MMSE Estimation Image Processing Matlab

    Noise, and distortions, especially multiplicative noise, cause granular effects on images. The pivotal point of this work is to remove such effects by transferring the image to the shearlet domain, and statistically model the coefficients to obtain an efficient estimator. For more details please check my publications. Matlab

    For implementations please check my publications.

• Watermarking

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  • Statistical Analysis of Contourlet Coefficients of Watermarked Images.

    Main idea Code
    Watermark Detection Contourlet Transform Generalized Gaussian Statistical Detector ROC Curve

    Designing an efficient statistical detector to classify the watermarked coefficients from the clear one. The Generalized Gaussian as a prior for contourlet coefficient is employed, and ROC curve is used to evaluate the designed statistical detector. Matlab

  • Injecting a text message into a 12 channels electrocardiogram signal based on pseudo-random permutation. (B.Sc. Project)

    Main idea Code
    ECG Watermarking Pseudo-random Permutation Signal Processing Electrocardiogram

    The key point relies on erratically, by a pseudo-random permutation algorithm, change the channels order, without information loss. Matlab

• Big Data Analysis

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  • High dimentional KNN algorithm with CUR matrix approximation

    Main idea Code
    KNN CUR Decomposition Dimensionality Reduction SVD High-dimensional Data

    Implementation of KNN algorithm based on a dimension reduction algorithm (CUR decomposition as low rank approximation of SVD). Python, Matlab

  • High dimentional KNN algorithm with Locality Sensitive Hashing(LSH)

    Main idea Code
    KNN Locality Sensitive Hashing High-dimensional Data Approximate Nearest Neighbor

    Implementation of KNN algorithm based on Locality Sensitive Hashing(LSH). Python