Raneem Alshahrani

Motivated and ambitious Industrial Engineer, continuously seeking to learn, gain practical experience, and apply skills acquired through academic excellence and field training. Committed to professional growth and contributing to effective, results-oriented work environments.

AI-Driven Model for Optimizing the Queuing System at Airport Security Checkpoints for Baggage Inspection

This project focused on developing an intelligent queuing system using real-time data and AI algorithms to enhance the efficiency of baggage inspection processes at airport security checkpoints. The proposed model aimed to reduce passenger waiting times, improve resource allocation, and support decision-making to ensure smoother operations, ultimately improving the passenger experience and increasing operational efficiency.conditions, atmospheric pressure, and geological features.

• certified associate in project management (CAMP)-PMI

AI-Driven Model for Optimizing the Queuing System at Airport Security Checkpoints for Baggage Inspection – IEOM Singapore 2025 (1st Place Winner)

Developed and presented an AI-driven research project to optimize queuing systems at airport security checkpoints, focusing on baggage inspection. The project integrated real-time data analysis with mathematical models to reduce waiting times and improve efficiency. The project won 1st place in the Undergraduate Student Paper Competition at the IEOM Conference in Singapore for its innovative model in optimizing queuing systems using AI.