Post by Rif Mohamed

I supervised 11 Final Year Projects this year. Each one had its own trajectory—some started strong, some found their stride late, some went through rough patches. But all of them pushed through and delivered. These weren’t easy projects. We tackled things like CFD-enhanced bird-inspired flight, air traffic predictions under thunderstorm conditions, and simulating the ‘tears of wine’ effect. Some students wrestled with turbulent diffusion, others debated whether we should’ve even used the VOF method. At one point I even asked, “Are you high??” when aircraft simulations were not going well. But in between the chaos, the long lab hours, the mesh errors, the AI model tweaks—some real breakthroughs happened. We used machine learning to play god. We challenged turbulence models. We optimised wind catchers. And we asked the right questions. In the end, they made it. And they submitted work they should be proud of. Here’s a snapshot of the projects. If you see your name, tag yourself. 📘 Feroze, Arshad – MA1008 Plagiarism Detection 📘 Kian Leng – Air Traffic Trajectory Prediction in Thunderstorm Conditions 📘 Wei Liang – Predicting Airspace Conflicts (Wind Uncertainty) 📘 Tisha – Predicting Airspace Conflicts (Thunderstorm Uncertainty) 📘 Durga – ML for Bio-Inspired Flight Mechanics 📘 Yu Dian – CFD+ML for Odor Tracing in Jurong West 📘 Fayiz – ML in Improving CFD Simulations for Joukowski Airfoils 📘 Parinistha, Ashish – Wake Dynamics of Inclined Flat Plates 📘 Justin – Computational Study of the ‘Tears of Wine’ Phenomenon 📘 Zane – CFD for Haze Analysis 📘 Valdy – Wind Catcher Shape Optimisation Thanks for letting me be a part of your journey. Cheerios

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