My name is Reem Alghamdi. I'm a coding addict.
I am currently pursuing a master's degree in Computer Science, while working as a teacher assistant at KAUST.
I have experience in programming, machine/deep learning and software development.
I like to explore new fields! My latest discoveries were in bioinformatics, computer graphics, scientific visualization and computer vision.
I made a moving cube with shading and lighting. For scalar field visualization: slice visualization, marching squares and marching cubes, volume rendering using raycasting and iso ray casting. As for vector field visualization: glyphs, streamlines, pathline visualization, and line integral convolution.
The project aimed at making a model that combines classical computer vision techniques with deep learning methods. This was achieved by using CNN for the deep learning part and interest point descriptors with ORB, which was then turned into BoVW via K-means and trained with MLP model. The CNN model and the MLP models were then trained jointly.
I’ve made 13 projects. In each, many different algorithms must be applied. such as HMM, suffix arrays, clustering and more. The aim is to answer biological questions. Such as motif finding, antibiotic sequencing, genomes assembly, comparing biological sequences, evolutionary trees and so on.
In this project, a comparative study was made. The goal is to classify episodes as either high, low, or average rating. Many different machine learning algorithms were used, such as decision trees, k-nearest neighbor and so on.
The aim is to control home appliance online. The methodology is simple: an android app will send controlling requests to a web server. Raspberry Pi will be getting all the new requests from the server, processing it accordingly and controlling the hardware components connected to it.
a Japanese text analysis tool. It takes a Japanese text from file, URL or directly and returns the list of words ordered by their frequency from the text with their definitions, pronunciation and JLPT level.
An asynchronous web app that cite books and websites entered by users. Supports both Arabic and English in Harvard, Chicago, APA and IEEE styles. It also enables signed up users to save, edit and delete citations.