International Airport

International airports are complex systems striving for optimized efficiency and passenger experience, driving research into various aspects of their operation. Current research focuses on improving aspects like real-time prediction of events (e.g., go-arounds, runway occupancy) using machine learning models such as LSTMs and tree-based algorithms, automating tasks such as luggage handling and security fence inspection with robotics and computer vision (including object detection models like YOLOv5), and optimizing passenger flow through simulations and queueing theory. These advancements aim to enhance safety, reduce environmental impact (e.g., through optimized takeoff and landing procedures), and improve overall operational efficiency.