Dive into our interstellar and aerodynamic innovations, led by the Astronomy and Aeromodelling Divisions of SES.
Leveraging Convolutional Neural Networks to automate galaxy morphology classification based on SDSS data, enabling AI-powered cosmic insights.
Simulating star lifecycles using Modules for Experiments in Stellar Astrophysics (MESA), allowing deep analysis of stellar structures and dynamics.
A hands-on workshop introducing astrophysics enthusiasts to Python tools like AstroPy for celestial computations and data analysis.
Design and construction of a flapping-wing aircraft that mimics bird flight using biomimicry principles in aerodynamics.
Crafting eco-friendly remote-controlled aircraft powered entirely by solar energy for sustainable aerospace exploration.
Engineering fixed-wing RC planes optimized for prolonged flight duration with lightweight builds and efficient propulsion systems.
First-person view drones for real-time aerial exploration, racing, and experimentation in control systems and camera integration.