Case Study
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The breakthrough came from recognizing that aviation safety and pilot expertise could be revolutionized by predictive technologies capable of simulating aircraft behavior in real-time scenarios.
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AI-powered flight simulation integrated with X-Plane flight simulator using MATLAB and CNN modelling. Real-time aircraft state prediction using flight telemetry data, allowing pilots and engineers to understand flight dynamics based on machine learning analysis and predictive modelling.
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Seamlessly integrated traditional aerospace engineering coursework with cutting-edge AI applications in flight simulation. Successfully developed CNN models capable of real-time aircraft state prediction and flight behaviour simulation. Completed aerospace engineering degree with honours while pioneering AI applications in flight dynamics. Demonstrated practical integration of machine learning with aeronautical engineering for enhanced flight simulation.
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Our aerospace engineering program began by conducting extensive study of flight dynamics, aerodynamics, and aircraft systems while exploring innovative applications of AI in aviation technology and practical flight training.
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I developed comprehensive flight simulation solutions representing different aspects of aerospace engineering challenges. This helped me understand complex flight dynamics and tailor AI systems to meet specific aviation simulation needs. I also completed practical flight training at Coventry Airport, gaining hands-on experience with aircraft controls and flight maneuvers to complement theoretical knowledge. Additionally, I mapped out flight training workflows to identify critical learning touchpoints and opportunities for intelligent simulation enhancement through machine learning integration.
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