Projects | Aylin Naebzadeh

Selected Academic Projects

Wed, 01 Jan 2025 00:00:00 +0000

Predicting COVID-19 From Chest X-Ray Images

Built a deep learning pipeline to predict COVID-19 from chest X-ray images using transfer learning on pre-trained SqueezeNet.
Applied data augmentation and preprocessing to improve generalization on limited medical data.

Tile Crack Detection with U-Net

Developed an image segmentation model to detect surface cracks on tiles using U-Net.
Combined classical image processing with deep learning to localize fine-grained defects.

Genetic and Ant Colony Algorithms

Implemented a Genetic Algorithm to solve cubic equations and explore convergence behavior.
Implemented an Ant Colony Optimization algorithm for task scheduling problems.

Football Match Fuzzy Predictor

Designed a fuzzy logic controller to predict football match outcomes using interpretable rules.
Used the Simpful library to define linguistic variables and construct fuzzy rule bases.

Image Recalling Hopfield Network

Implemented a Hopfield network for recalling patterns on Fashion-MNIST–style image data.
Extended the Hopfield formulation to handle a TSP-like optimization setting.

SOM and RBF Clustering

Implemented Self-Organizing Maps (SOM) and Radial Basis Function (RBF) networks for classification tasks.
Used TensorFlow and Keras to train and compare different clustering and representation schemes.

MLP From Scratch

Implemented a multilayer perceptron from scratch for classification problems.
Used Keras to experiment with momentum and weight decay for optimization and regularization.

Artificial Intelligence Course Projects

Built a deep-learning–based model to recognize different clothing types from images.
Completed UC Berkeley–style Pac-Man AI projects, covering search, reinforcement learning, CSP, and MDP formulations.

Smart Sensor-Embedded Games for Autism and Alzheimer’s

Co-designed smart games to support Alzheimer’s patients and autistic children, focusing on engagement and cognitive support.
Developed sensor-embedded puzzles and interactive game rooms to assist caregivers with monitoring and assessment.