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followers: 11.0 following: 4.0 repos: 12.0 gists: 0.0

Name: Ahmad Nagib

Type: User

Company: Queen's University

Bio: Machine Learning Graduate Research Assistant, Queen's Telecommunications Research Lab. Building AI-based solutions for 5G networks and beyond!

Location: Kingston, ON, Canada

Ahmad Nagib's Projects

entertainment_center icon entertainment_center

entertainment_center helps you to save your favorite movies and their relevant details including title, year of production, poster, and official movie trailer.

londonmap icon londonmap

LondonMap is a responsive web application that helps people discover places around City, University of London.

portfolio-site icon portfolio-site

Portfolio Site is a template responsive web page to help you present your portfolio. This project is part of Udacity's Full Stack Web Developer Nanodegree Program.

ql-server-configuration icon ql-server-configuration

QuantumLeap (QL) is a Linux Ubuntu server hosting QuantumLeap Catalog web application. A collection of configuration changes has been made on the server to be able to serve the application properly and securely. An overview of the carried out changes is included in this README file.

quantumleap icon quantumleap

QuantumLeap is a multi-user blog that allows users to create accounts and share their own posts. The application is built using Google App Engine and Jinja templates are used to unify the blog.

quantumleapcatalog icon quantumleapcatalog

QuantumLeap (QL) is a catalog that provides a list of items within a variety of categories. QL allows users to add new categories and items to the catalog.

quantumleaptournament icon quantumleaptournament

QuantumLeap Tournament (QLT) is a python module that uses the PostgreSQL database to keep track of players and matches in a Swiss game tournament.

sarl-rrm icon sarl-rrm

A Framework for Safe and Accelerated Reinforcement Learning-based Radio Resource Management

tl-aided-drl icon tl-aided-drl

Safe and Accelerated Deep Reinforcement Learning-based O-RAN Slicing: A Hybrid Transfer Learning Approach

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