This repository contains the analysis pipeline for a cross-condition comparison of whole-brain dynamics between healthy controls (HC) and unmedicated Major Depressive Disorder (MDD), using three in…

This repository contains the Hopf-GAE, a physics-informed deep learning architecture that detects depression-related dynamical abnormalities without ever training on depressed brains.

This project aims to leverage nonlinear system identification techniques, focusing on the Unscented Kalman Filter (UKF), to enhance modeling and understanding of neural dynamics from fMRI data, add…

Wind Dynamics Experiment using UKF and Harmonic Oscillator Models, UKF Parameter Estimation on Geophysical Oscillatory Systems

This project implements a SEITR (Susceptible, Exposed, Infected, Treated, Recovered) model for network analysis using R. The model simulates the spread of a disease through a network of individuals…

SEITRNet++ is the updated network simulation (SEITRNet). Experiment on how contact network topology reshapes intervention strategies

Implementing Pontryagin-based optimal control of the deterministic SEITR system and a numerically-optimized treatment policy for its stochastic network analogue, with cross-formulation comparison.

An Extended SIR Mathematical Model for Lumpy Skin Disease and Associated Properties

Unscented Kalman Filter (UKF), to enhance modeling and understanding of neural dynamics from fMRI data using Coupled Oscillator Model.

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Focusing on approximate inference methods and comparing their effectiveness on certain scenarios.

Multi-armed bandits experiment with epsilon-greedy, UCB, Thompson sampling, Bayesian-greedy and HA-UCB

Major Depression Disorder Analysis with Gene Expression and Demographic Symptom Data

Evolutionary music project to provide harmonization between user selected chord progression and random melody in Mathematica.

In this project, the main focus is the adaptation with nearest neighbor and local search methods.

This project focuses on the implementation and evaluation of two supervised learning schemes: Decision Trees and Feedforward, Multilayer Neural Networks.

This project creates a random melody and try to get a harmony between selected chord progression and evolved melody.

This report focuses on Fairness and Bias in Machine Learning (ML). Reviewed some researches that influenced the search of fairness in ML systems. We provide some insights to explain these concepts …

Bernoulli and Multinomial Naive Bayes classifiers are trained and tested on different datasets. We present and compare the accuracy scores for both Bernoulli NB and Multinomial NB models.

Conducted the experiment on three part; first, evaluated the clustering results for Gaussian distribution datasets, following, utilized k-Means algorithm for image compression and employed the algo…

Experiment with PCA and CNN on CIFAR10 dataset, time series data analysis with LSTM and GRU

Decision Tree and Naive Bayes implementation and experiments.

Trained and tested a Multinomial Naive Bayes algorithm on MNIST dataset, implemented PCA on MNIST dataset, then trained and tested the same Multinomial NB classifier with the results of different P…

Experimenting with fully connected NNs and CNNs, using the Keras open source package.

Gradient Naive Bayes and Logistic Regression with Gradient, L1 and L2 regularization implementations from scratch

Deep Learning Homework 1: Maximum Likelihood Estimation

Algorithms for “community” or cohesive subgraph detection are frequently used to analyze network representations of complex systems, and constitute an active area of methodological research. Algori…

This project focuses on the community structure analysis on graphs with multiple layers of community structures embedded in it. To conduct experiments on multiple layers of community structures in …