As a Research Fellow in Neuromorphic Engineering, I explore what happens when computers stop behaving like calculators and start thinking like brains🧠⚡. My work blends brain-inspired hardware with AI, building event-driven systems that sense and react in real time. I develop spiking neural network models and low-power learning frameworks, tackling challenges in computer vision 👁️, robotics 🤖, and signal processing 🎶. Using cutting-edge sensors — from event-based cameras to neuromorphic microphones — I train and test models that can track motion, interpret dynamic environments, and guide autonomous platforms.

The aim is to create intelligence that’s not only powerful, but also efficient, adaptive, and deployable in the wild — from defence and aerospace ✈️ to everyday robotics. Alongside the tech, I collaborate internationally, secure competitive funding 💡, and mentor students. Dream collaborations include working with NASA JPL 🚀 to push intelligent robotics beyond our planet, and Disney Imagineering 🎢✨ to bring playful, immersive robotics to life here on Earth.

In short: I’m building smarter, faster, leaner AI by giving machines a little more “brainpower” — minus the energy bill 🔋.